International Journal of Knowledge Content Development & Technology
[ Article ]
International Journal of Knowledge Content Development & Technology - Vol. 12, No. 4, pp.67-94
ISSN: 2234-0068 (Print) 2287-187X (Online)
Print publication date 31 Dec 2022
Received 07 Dec 2021 Revised 10 Jan 2022 Accepted 08 Feb 2022
DOI: https://doi.org/10.5865/IJKCT.2022.12.4.067

A Comparative Bibliometric Analysis and Visualization of Indian and South Korean Library and Information Science Research Publications During 2001–2020

Mallikarjun Kappi* ; B. S. Biradar**
*Research Scholar, Department of Library and Information Science, Kuvempu University mkmallikarjun@gmail.com
**Professor and Chairman, Department of Library and Information Science, Kuvempu University, Shankaraghatta, Shimoga-577451, Karnataka bsbiradar53@rediffmail.com

Abstract

The paper aims to present a comparative analysis of scholarly research output in the fields of Library and Information Science (LIS) in India and South Korea.

The Web of Science database was used to retrieve the bibliographic data of the Indian and South Korean LIS published documents during 2001–2020 and the indicators were included in the analysis: research productivity, publication-quality, most prolific authors, institutions and journals, “Annual Growth Rate (AGR)”, “Compound Annual Growth Rate (CAGR)”, “Relative Growth Rate (RGR)”, and “Doubling Time (DT)”. All types of documents such as articles, conference papers, book reviews, corrections, editorial materials, so on were included in the study. MS Excel, VOS viewer, and bibliometrix (R-tool) software were used for tabulation and mapping.

The results show that South Korea placed the top in the overall output of LIS research publications during the last two decades. The Indian LIS research output, Annual Growth Rate (AGR), and Compound Annual Growth Rate (CAGR) were good compared to South Korean LIS publications. In addition, the South Korean LIS researchers’ output has increased rapidly in terms of publications, citations, average citations. Gangan Prathap (India), Seyoung Lee, and Heejin Lee (SK) are the most prolific authors; Indian Institute Technology, Delhi and Yonsei University, Seoul are the most prolific institutions; and the Scientometrics journal was the most preferred journal by the Indian and South Korean LIS researchers during the study period.

The results of this study are useful to administrators, policymakers, and academics. In addition, the scope of this study might include looking at research published by LIS scholars in India and South Korea, as well as examining all types of academic publications.

Keywords:

Research Productivity, Library and Information Science, India, South Korea, Bibliometrics Study, Visualization

1. Introduction and Background

Relations between India and South Korea have changed significantly in recent years. Since President Moon Jae-in presented his New South Policy (NSP) in November 2017, the interaction between New Delhi and Seoul has improved significantly. This is the first South Korean foreign policy initiation for India and South Korea found a way to become a part of the Indo-Pacific union. Later, Several conferences and seminars were held with renowned Korean scholars and diplomats discussing the role of Korea in the Indo-Pacific era (Jang, 2018). All these successes were done with Indo-Korean diplomatic exchanges, especially in the past decade.

Research productivity assessment is an analytical tool required to maintain a high level of research performance. The evaluation also plays an important role in decision-making and policymaking. Over the years, LIS practice has been understood as a professional field and scientific research. India and South Korea have been showing their interest in the library and information science (LIS) research community in studying research trends in LIS as a subject.

The growth of the LIS subject as an interdisciplinary subject has been attractive to the LIS research community, and (Prebor, 2010) mentions that the role and influence of technology in libraries and library services are the main reasons for the interdisciplinary nature of LIS. A study by (Milojević, et al., 2011) found that integrating technology with the LIS theme changed the cognitive structure of the LIS system. There has also been a clear trend where traditional LIS issues have disappeared, new ones have emerged, and most of these emerging issues are related to technology (Larivière, Sugimoto, & Cronin, 2012). The integration of these technology-related topics has made LIS an interdisciplinary topic.

Indian and South Korean LIS researchers have contributed their research results significantly in scholarly journals. Importantly the researchers engage themselves in research in order to add value to the LIS field. Especially the Indian researchers should target the international quality journals for publishing their research output, and Indian publishers should make efforts to get space in international databases. Library and Information Science is a significant applied discipline and a great deal of literature is being produced. Web of Science is a major database that covers major journals on the subject. Hence, this comparative bibliometric study is an effort being made to assess the Indian and South Korean LIS research output. The inferences drawn based on this research can be very helpful and describing the research contributions and will help to understand the strengths and weaknesses of the discipline (Hasan & Singh, 2015).


2. Previous Studies

Bibliometrics has been an important and distinctive research tool in science mapping for decades. All the major collections of scientific indicators are strongly based on publications and total citations, more advanced bibliometric techniques. Over the last few decades, there has been a growing interest in the use of scientometric information to evaluate or monitor research activities. The discipline dedicated to the quantitative study and assessment of scientific literature is called scientometrics or bibliometrics. The purpose of scientometrics is to provide quantitative measurements of scientific activity. Because of the special importance of publications in the scientific community, it largely overlaps with bibliometrics, which is the analysis of the quantity of information in any written form.

Although both countries have extended support and assist in research and development, their research performance is rarely studied. (Elango, Oh, & Rajendran, 2021) assessed and compared the scientific research productivity of India and South Korea using the Scopus database during 1998–2018. In comparison, to India, South Korea has a higher share of publications containing international collaboration. In a few areas, both countries have stronger positions. (Gupta, 2010) conducted a comparative bibliometric study on overall science and technology research publications of India, South Korea, and China using the Scopus database. (Pattanashetti & Harinarayana, 2017) examined and compared the mechanical engineering research publications of India, South Korea, and Japan during 2000–2014 using SCI–WoS database. The study observed the increasing trend in collaboration in all the S&T fields. (Sweileh & Moh’d Mansour, 2020) conducted detailed bibliometric study on antimicrobial resistance (AMR) in the environment of the global scientific literature during 2000–2019. (Magnone, Surwase, & Kademani, 2017) examined India’s and South Korea’s co-publications from 1994 to 2013 using the Scopus database. (Ahmad, Sheikh, & Rafi, 2019) examined the scholarly publications in LIS based on the WoS database during 2003–2017, and findings revealed that the USA has contributed the maximum papers.

Several bibliometric studies on LIS research have been published. However, none of these studies compare India and South Korea. (Garg & Sharma, 2017) analysed 2,428 LIS research papers during 2004-2015 using the Indian Citation Index. It is noteworthy that ICI does not include all LIS journals published in India. (Mukherjee, 2010) analysed the LIS papers published in SSCI of WoS indexed journals by Asian countries during 2001-2007. The study shows the publication growth rate doubled during the study period and Chinese authors contributed maximum papers. (Han, et al., 2014) performed a scientometric analysis to study the trends, networks, and core groups of the international collaboration in LIS publications at the national and institutional level. (Sahu & Parabhoi, 2020) examine current trends in Indian LIS publications from 2014 to 2018. (Bhakta, Kar, & Bhui, 2019) did a bibliometric mapping of LIS research in India using the Indian Citation Index during 2006–2015.

(Yang, Lee, & Choi, 2016) examined the publication and citation patterns among subject areas of LIS research in Korea. (Lee & Choi, 2013) explores the citation rate of Korean Library and Information Science (LIS) subject areas. (Jabeen, et al., 2015) conducted the bibliometric study at the global level to understand the growth and trends of LIS publications. (Hasan & Singh, 2015) conducted the scientometric study and assessed the growth trend of the world LIS research output during 1975–2012 using the WoS database. (Olmeda-Gómez & de Moya-Anegón, 2016) Between 2003 and 2012, ten bibliometric indicators were used to evaluate the intensity of European publication of Scopus journals in the thematic category “Library and Information Sciences”. (Park & Nam, 2016) examined a co-authorship network at the institutional level based on articles published in eight Korean LIS journals during 2008–2012.

All the above studies were revealed either the annual research productivity and growth, the research productivity of the institution, the collaboration of the authors in the research work, most prolific authors, most cited papers in various disciplines, and so on. Whereas, none of the studies are compared the LIS research output among India and South Korea.

The current study seeks a quantitative and comparative analysis of the LIS research output of India and South Korea using the WoS database during 2001–2020. More specifically, the annual performance of research growth, prolific authors, institutions, journals, and highly cited papers of both countries are discussed.


3. Data and Methodology

The Web of Science database was chosen as the primary data source for this study because it has been used extensively in previous studies (Hasan & Singh, 2015; Kappi & Biradar, 2019; Kolle, 2017; Yang & Lee, 2012). In the Web of Science (SCIE, SSCI, and A & HCI) advanced search option, the Subject field ‘SU = Library and Information Science’, and the country were selected as “CU = India” (query 1) and “CU = South Korea” (query 2). The search was performed on July 2021 and the study period was limited to 2001–2020. Finally, we obtained the bibliographic records of 1288 of India and 1945 of South Korea, respectively. The collected data were tabulated with MS Excel. The VOS viewer software (Van Eck & Waltman, 2010) and Bibliometrix R tool (Aria & Cuccurullo, 2017) package were used for network visualization.

In this study Annual Growth Rate (AGR), Compound Annual Growth Rate (CAGR), Relative Growth Rate (RGR), and Doubling Time (DT) indicators were used to analyses and compare the LIS research output of both countries. Further, the study compared the annual research performance, citation analysis, most prolific authors, institutions, most preferred journals, and highly cited papers of India and South Korea.


4. Data Analysis and Interpretation

Table 1 summarizes the search results. This shows India’s and South Korea’s LIS research productivity of two decades (2001–2020). All types of documents and sources are considered for the study. Also provides the total authors, authors of single papers, multi-authored papers, total keywords, total author keywords, author collaborations. A total of 1288 and 1945 documents were produced at the average 7.3 and 7.34 publications per year by India and South Korea. All these documents were received an average citation of 1.764 and 2.602 per year. This shows South Korea’s quality of publications. Authors collaboration is almost similar, whereas the Indian author’s collaboration index is (2.02) more than the South Korean author's collaboration index (1.31)

Summarizes the Search Results of India and South Korea

4.1 Year-Wise Research Productivity and Citation Analysis

Table 2 shows the growth of research publications and citations for the publications during the study period. South Korea is slightly ahead in publications compared to India during the study period, even though the publications were less compared to both countries. Indian publications contribution has increased from 22 in 2001 to 207 in 2020, with an average annual growth rate of 15.18%. whereas South Korea’s publication contribution has increased from 44 in 2001 to 177 in 2020, with an average annual growth rate of 9.81%. The proportion of the South Korean publications to the Indian publications showed an overall rising trend from 200% in 2001 to 116.07% in 2020.

Year-wise research productivity and Citation analysis of Indian and South Korean LIS publications during 2001-2020.

Indian 1,288 publications cited 14,608 times with an average (13.026) citations per paper, whereas the South Korean 1,495 papers were received 49,233 citations with an average (41.906) citations per paper. Which is comparatively more than thrice of Indian LIS publications. South Korean publications received an average h_index of 94 during the study period which is near twice the h_index (54) of the Indian publications.

4.2 Publications Growth Rate

a) Publications Annual Growth Rate (AGR)

Table 3 illustrates the publication’s annual growth rate in both countries. The analysis reveals that there is no consistency in the Annual Growth Rate of both countries. India’s highest at 100% AGR is observed in 2014 and the lowest -19.463% is found in 2012. However, South Korea’s AGR is observed at 55.556% in 2005 and the -40.909% lowest in 2002. The Indian average AGR is 15.18%, whereas the South Korean average AGR is at 9.81% during the study period. The AGR is calculated using the below formula and the variation of the AGR is shown in Table 3:

Annual Growth Rate of Publications

b) Compound Annual Growth Rate of Publications (CAGR)

The compound annual growth rate is measured by taking the nth root of the total percentage growth rate, where n is the number of years in the period being considered. The below is the formula (Fernando, Mansa, & Pathburn, 2021) used to calculate the compound annual growth rate:

During the last two decades, there was a 12.52% increase in the number of annual research publications from India, cumulative from 22 publications in 2001 to 207 publications in 2020 (Table 4). Contradictory growth was found in both countries. The growth of Indian research productivity was comparable with the growth of South Korea, but with a numerically higher annual growth rate for India was (CAGR 12.52%) compared to South Korea (CAGR 7.6%) over the twenty years. The most notable growth in research productivity in India occurred in the first 5 years reaching a CAGR of 10.67%, compared to -1.16% for South Korea. Accordingly, the highest CAGR rate (12.51%) was found in India during 2001–2020, whereas the 8.62% highest CAGR rate was found in South Korea during 2011–2015.

Compound Annual Growth Rate of Publications

4.3 Relative Growth Rate (RGR) and Doubling Time (DT) of Indian and South Korean LIS publications.

Table 5 explains the relative growth rate (RGR) and doubling time (DT) of LIS publications during the period from 2001 to 2020. The growth rates of all publications are measured based on the RGR and Dt model, which was developed by (Mahapatra, 1985). RGR is the growth in the number of papers/pages per unit of time, and Dt is directly connected to RGR. The mathematical expression of the average relative growth rate of papers in a specific period can be derived from the following formula:

Relative Growth Rate (RGR) and Doubling Time (DT) of Indian and South Korean LIS publications during 2001-2020.

Where,
RGR= Relative Growth Rate in a particular period;
W1 = Loge (natural log of the initial umber of publications);
W2= Loge (natural log of the final number of publications);
T1= the unit of initial ime;
T2= the unit of the final time
a) Doubling Time (DT)

‘Doubling Time’ is directly related to ‘relative growth rate’. If the number of articles or pages on a topic double’s in a given period, the difference between the logarithm of the number at the beginning and the end of the period must be the logarithm of the number 2. If the natural logarithm is used, the difference is 0.693 (Beaie & Acol, 2009). Therefore, the below formula can be used to calculate the corresponding doubling time for each specific time interval and papers and pages.

The Relative Growth Rate (RGR) value of India’s LIS publications has fallen from 0.879 in 2002 to 0.109 in 2019, while the RGR in 2020 is 0.176. At the same time, the value of “doubling time” (Dt.) Increased from 0.788 in 2002 to 7.372 in 2013, but from 2014 to 2020 a fluctuating trend was found. The value of the relative growth rate (RGR) of LIS publications of South Korea has fallen from 0.464 in 2020 to 0.095 in 2020. At the same time, the doubling time (DT) value has increased from 1,494 in 2002 to 7,263 in 2020, and in between a few years were varied. This study shows that the quantity of LIS research in South Korea has increased compared to India over time.

4.4 Most Prolific Authors in LIS and Impact of Their Output

Table 6 and Table 7 display the most productive Indian and South Korean authors in the LIS field. The average number of authors per paper was 1.68 (Indian) and 1.18 (South Korea), and the top 18 authors who published 9 or more & 24 or more papers respectively. Both countries top 18 authors published 305 (23.7%) and 832 (43%) papers of the total publications respectively. The impact of Indian authors in terms of citations and an h_index indicates that among the listed 18 authors, five authors had lower citations (≤80) and h_index (≤6). It indicates that the research visibility of these five authors is lower than their research publications, and all the 18 authors together received 3,760 citations. Whereas, the impact of South Korean authors is different and they dominate the Indian authors. Of the 18 most prolific authors ‘Lee, Seyoung’, alone was received 4,658 citations for 78 papers, which is more than the total citations of the Indian top 18 authors. South Korean top seven authors were received higher (≥ 1000) citations and the remaining authors received notable (100 to 1000) citations. Overall, the South Korean authors have more impactful than the Indian authors in terms of publications, citations, and an h index of authors. Fig. 1 and Fig. 2 show both countries’ three fields Plot of ‘Authors–Affiliations–Countries’.

Indian Most Prolific Authors in LIS

South Korean Most Prolific Authors in LIS

Fig. 1.

Indian Three-Fields Plot of Authors-Affiliations-Countries

Fig. 2.

South Korean Three-Fields Plot of Authors-Affiliations-Countries

4.5 Most Prolific Institutions in LIS and Their Citation Impact

The data analysis indicates that 2,268 institutions scattered in different parts of the globe produced the total output in collaboration with India and South Korea. Table 8 and Table 9 show the top 20 most productive LIS institutions of India and South Korea. South Korea is an active country with fair output growth in LIS publishing comparative to Indian output. Such progress, which signifies the alliance of the research teams working in the subject area, is due to an increase in publications authored by researchers in the South Korean LIS institutes. The average number of Indian institutions per paper is 1.08 and South Korean is 1.80. The top 20 each Indian and South Korean LIS institutions produced 550 (42.70%; TC 7640) and 1,739 (89.41%; TC 48,984) papers respectively during 2001–2020. Among the Indian most prolific institutions, Indian Institute Technology, Delhi produced the highest number of papers (76), followed by Indian Institute Management (64) and CSIR–NISCAIR (51). Whereas, South Korea’s most prolific institutions are Yonsei University (260), KAIST, South Korea (220), and Seoul National University (162). The publication output of these prolific institutions was subjected to citation impact analysis in terms of ACPP. As mentioned in Table 1, the value of Indian ACPP for the total output was 11.34 and for the South Korean was ACPP was 25.31. The Citation analysis of India was shown in Fig. 3 and South Korea was shown in Fig. 4 respectively. The VOS viewer was used to create the Most Prolific Institutes citation network of India and South Korea. Citation and Organizations network has been applied to generate the network. In these networks, the size of the circles and colors are indicated the total papers published by the institutions. The larger fonts indicate the more citations received, carved and the thickness of the lines indicate the collaboration between the institutions. The closer the circles closer the collaboration.

Indian Most Prolific Institutions in LIS

South Korean Most Prolific Institutions in LIS

Fig. 3.

Indian Most Prolific Institutions Citations Network

Fig. 4.

South Korean Most Prolific Institutions Citations Network

4.6 Most preferred journals used for publishing LIS Research output by India and South Korea

Table 10 and Table 11 list the top 20 journals of the Indian and South Korean LIS researchers who preferred to publish their findings. These journals and their corresponding rankings are based on previous studies on the contributions of disciplines, countries/regions, and institutions to LIS journal literature are also used as criteria for selecting LIS journals with a good reputation (Walters & Wilder, 2016; Yuen, 2018). The wide range of subject areas in LIS and research publications were highly concentrated in these top journals and almost 70% of the articles of both countries were found in these top 20 journals. Among, eight journals (i.e., International Journal of Information Management, Journal of Global Information Management, Journal of Information Science, Journal of Knowledge Management, Journal of The American Society for Information Science and Technology, Online Information Review, Scientometrics, Telecommunications Policy) were commonly preferred by both the countries’ authors. Moreover, only the journal (i.e., Scientometrics) were highly preferred and top in the list published the most publications by the Indian (191) and South Korean (171) LIS institutes. ‘Electronic Library’ and ‘Telematics and Informatics’ were ranked second in the journal list by the Indian and South Korean LIS institutes with 104 and 138 papers each. International Journal of Information Management is ranked third in the journal list of the Indian LIS institutes with 69 papers; However, the South Korean LIS institutes have contributed 97 papers to this journal during the last two decades and placed 6th rank. Apart from the above three journals, the Indian LIS institutes have also contributed more papers to the Journal of Enterprise Information Management (57), Journal of Knowledge Management (51), and Program-Electronic Library and Information Systems (50) respectively. Whereas, the South Korean LIS institutes contributed more papers to the Information Processing and Management (138), Telecommunications Policy (114), and Information and Management. Although, the Indian and South Korean LIS institute researchers contributed more papers to the remaining journals also.

Most Preferred Journals Used by Indian Researchers

Most Preferred Journals Used by South Korean Researchers

Fig. 5 presents the journals co-citation network of the Indian authors’ most preferred journals in the LIS (the minimum number of documents and citations in the journal is 19 and 10, respectively. Set of 81 sources, 21 met the threshold value). International journal of information management is in the middle of the network map with the most important links, though the electronic library, Scientometrics, Information Processing & Management, and Online Information Review are also in a significant place. In the journal co-citation analysis, journals were used as the units of analysis, as were the co-citations of pairs of journals, counted as the number of times pairs of journals are cited together. In Fig. 5, the circle size represents the activity of the journal and the number of published papers. The distance between the two circles is also significant. Generally, the smaller the distance between two circles is, the higher the citation frequency is, and see that all these journals are divided into six clusters. The red cluster contains Information Processing & Management, International Journal of Information Management, Journal of Enterprise Information Management, etc.

Fig. 5.

Indian most preferred journals citations network

This cluster represents LIS Information processing and management journals. The blue cluster contains Scientometrics, the Malaysian Journal of Library & Information Science, and the Journal of The American Society for Information Science and Technology. This cluster represents bibliometrics and scientometrics journals. The green cluster represents Information Communication Technology journals. The yellow cluster represents knowledge management journals. The purple cluster represents the computer science and electronic library journals and the light blue cluster represents the information and technology journals. Fig. 6 shows the journal co-citation network of South Korean author's most preferred journals in the LIS (the minimum number of documents and citations per journal was 27 and 141, respectively. From a set of 83 sources, 21 met those thresholds). In this Fig. 7, all journals are divided into 4 clusters. The red cluster contains Information & Management, Information Development, Information Systems Research, Information Technology, and Management, etc. This cluster represents LIS Information systems and management journals. The blue cluster contains Government Information Quarterly, Journal of Health Communication, Telematics, etc. This cluster represents Information telecommunication Technology journals. The green cluster contains Scientometrics, Journal of Informetrics, Journal of Information Science, etc. This cluster represents bibliometrics and scientometrics journals. The yellow cluster represents the information review journals.

Fig. 6.

South Korean most preferred journals citations network

Fig. 7.

Indian top 20 highly cited papers citations network

4.7 Highly cited papers LIS Research publication by India and South Korea

Table 12 and Table 13 specify the list of the Top 10 highly cited LIS papers published by authors from India and South Korea. Authors of the top 10 papers from South Korea were received the highest citations 11580 during the study period. Compared to South Korea, Indian authors have received fewer citations, accounting for 2170. South Korea’s top 10 papers are cited more than 530% as frequently as India’s top 10 papers. South Korea has a higher international collaboration rate than India. South Korean researchers are preferred to publish in highly-reputed, peer-reviewed international journals because the researchers are highly motivated and aware of the need to publish in those journals, and modern practices include digital traces that remain after collaborative research is completed (Shin, 2019). South Korean top-ranked LIS universities offer monetary incentives to researchers who publish more articles in international journals (Fuyuno & Cyranoski, 2006). Due to all these, South Korean researchers got the highest citations compared to Indian researchers. Both countries highly cited papers have been published in high-impact journals such as Information Systems Research, Information Society, Information & Management, Scientometrics, MIS Quarterly, and so on. Among them, Information & Management journal has published two Indian and four South Korean highly cited papers. The paper “Too Big to Fail: Large Samples and the p-Value Problem”, authored by Lin, MF; Lucas, HC; Shmueli, G with 339 citations and the “Design science in Information Systems research” a paper authored by Hevner, AR; March, ST; Park, J; Ram, S with 4202 citations were the top 1 ranked paper by India and South Korea respectively. Fig. 7 shows the Indian highly cited paper’s network with a minimum of 50 citations and, Fig. 8 shows the South Korean highly cited papers citations network with a minimum of 1000 citations. All the highly-cited papers are divided into 4 clusters according to their citation count and the circle represents each highly cited paper and the size denotes the total citations received; the color of the circle denotes the number of citations received during the last two decades.

Top 10 Indian highly cited papers in LIS during 2001-2020

Top 10 South Korean highly cited papers in LIS during 2001-2020

Fig. 8.

South Korean top 20 highly cited papers citations network

All the highly-cited papers are divided into 4 clusters according to their citation count and the circle represents each highly cited paper and the size denotes the total citations received; the color of the circle denotes the number of citations received during the last two decades. In the figures, the colors are changing from dark to light, which shows the increasing citation counts (dark blue to light blue shows the citation counts from 1 to 50 and so on).


5. Discussions and Conclusion

Bibliometric analysis of publications productivity is to understand the growth of LIS Publications produced among India and South Korea which have had a common footing. The research publications in the LIS during 2001-2020 have been analysed. Both countries rapidly and steadily contributed to research publications. In fact, with South Korea’s publications as well as citations being in the prime. South Korea’s researchers/authors contributed good quality research results and received the highest citations for their research output during the study period. The study suggests India needs to increase the LIS research Quality as there are fewer citations. This may show that India can make significant competitive advantages in LIS Field. The growth patterns based on AGR and CAGR disclose that there is no common pattern among the countries and no consistency in the AGR of both countries. There is an increase in Indian CAGR value during 2001-2005, 2001-2010, decreased in 2001-2015, and again increased in 2001-2020. Whereas, an increase in South Korea’s CAGR value during 2001-2005, 2001-2010, 2001-2015, and decreased in 2001-2020.

Among these two counties, South Korea is at the top with 1945 publications, as well as in RGR and Dt value. In the cumulative impact factor, cumulative citations, articles in highly effective journals. This is not surprising, as there is a positive correlation between the number of publications and the overall impact factor, the cumulative citation of articles in highly effective journals. South Korea has the largest share of researchers moving from industry to academia in 71 countries between 2017 and 2019 (Dayton, 2020). In India, researchers understand the significance of collaboration. It suggested that Indian LIS researchers can involve in the quality and quantity of research output. The MoU will provide opportunities and support for individual researchers to engage institute partners and collaborate. In addition, the universities may have an approach to introduce dual affiliation positions or co-financing and supervising Ph.D. students to create opportunities for direct and close relationships that can build the foundation for next-generation collaboration.

Analysis of the most preferred journals can be helpful, exclusively for new generations of scholars, to gain insights into important publications in the field of LIS. Of the total journals, 70% of the LIS research output of both the countries were published in the top 20 preferred journals and 8 journals were commonly preferred. The 10 most cited papers revealed that the LIS researchers did not focus on a particular research area. Whereas the LIS researchers contributed more and published in allied subject areas. These papers are covered the latest dynamics of the subject, like the Application of Information technologies (Big data, Cloud computing, ICT-enabled libraries, application of social media, information systems, and so on) in the LIS field. All the highly cited papers are published in collaboration and South Korean papers were received the highest citations compared to Indian authors (Mallikarjun & Kappi, 2020).

The findings of this study are informative for administrators, policymakers, as well as scholars who care about India and South Koreas, rise in LIS. Each country can learn and gain mutual benefits from the other country through future collaboration in LIS and allied areas using different approaches. Likely, they can seek global excellence through cooperation, and in other areas where one country has a higher status than the other, that country can lead to cooperation in many ways. Further, it could be useful to LIS researchers with a snapshot of how the LIS field has evolved over a while and to facilitate the selection of research topics of current interest.

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[About the authors]

Mallikarjun Kappi is a Librarian at Government First Grade College, Jagalur (affiliated to Davanagere University) and a Ph.D. candidate at the Department of Library and Information Science, Kuvempu University, Shivamogga. His research interests are open research data, scientometrics, and bibliometrics. His contributions to the current study are the review of literature, data collection, data interpretation, tabulation, and data analysis.

Dr. Biradar BS is currently working as a HOD and Professor in the Department of Library Science, Kuvempu University, India. His research interests include Information Technology, Bibliometrics, Information Sources and Services, Public Libraries. He is serving as an editorial member, reviewer of several international reputed journals, and member of many international affiliations. His contributions to this paper are research design, formulation of the problem, data organization, editing, reviewing and improvement of the contents to the final approved version.

Fig. 1.

Fig. 1.
Indian Three-Fields Plot of Authors-Affiliations-Countries

Fig. 2.

Fig. 2.
South Korean Three-Fields Plot of Authors-Affiliations-Countries

Fig. 3.

Fig. 3.
Indian Most Prolific Institutions Citations Network

Fig. 4.

Fig. 4.
South Korean Most Prolific Institutions Citations Network

Fig. 5.

Fig. 5.
Indian most preferred journals citations network

Fig. 6.

Fig. 6.
South Korean most preferred journals citations network

Fig. 7.

Fig. 7.
Indian top 20 highly cited papers citations network

Fig. 8.

Fig. 8.
South Korean top 20 highly cited papers citations network

Table 1.

Summarizes the Search Results of India and South Korea

Description Results Results
MAIN INFORMATION ABOUT DATA INDIA SOUTH KOREA
Timespan 2001-2020 2001-2020
Sources (Journals, Books, etc) 81 83
Documents 1288 1945
Average years from publication 7.3 7.34
Average citations per documents 11.34 25.31
References 45851 66442
DOCUMENT TYPES
article 1097 1805
article; proceedings paper 36 59
book review 38 2
correction 3 13
editorial material 40 46
letter 42 1
review 30 18
Others 2 1
DOCUMENT CONTENTS
Keywords Plus (ID) 1946 2906
Author's Keywords (DE) 3802 6004
AUTHORS
Authors 2159 2289
Authors of single-authored documents 176 146
Authors of multi-authored documents 1983 2143
AUTHORS COLLABORATION
Single-authored documents 305 307
Documents per Author 0.597 0.85
Authors per Document 1.68 1.18
Co-Authors per Documents 2.61 2.85
Collaboration Index 2.02 1.31

Table 2.

Year-wise research productivity and Citation analysis of Indian and South Korean LIS publications during 2001-2020.

India South Korea
Year TP % Of TP Cumulative % Cumulative TC ACPP h_index TP % Of TP Cumulative % Cumulative TC ACPP h_index
TP = Total publications; TC = Total Citations; ACPP = Average Citation per Paper
2001 22 1.708 22 1.708 266 12.09 8 44 2.262 44 2.262 2746 62.41 15
2002 31 2.407 53 4.115 281 9.06 11 26 1.337 70 3.599 1059 40.73 10
2003 27 2.096 80 6.211 549 20.33 11 24 1.234 94 4.833 1904 79.33 13
2004 25 1.941 105 8.152 368 14.72 9 27 1.388 121 6.221 5395 199.81 13
2005 33 2.562 138 10.714 464 14.06 14 42 2.159 163 8.38 3830 91.19 22
2006 38 2.95 176 13.664 474 12.47 12 43 2.211 206 10.591 1777 41.33 18
2007 34 2.64 210 16.304 309 9.09 9 56 2.879 262 13.47 2368 42.29 22
2008 46 3.571 256 19.875 1275 27.72 16 49 2.519 311 15.989 1684 34.37 18
2009 48 3.727 304 23.602 536 11.17 14 71 3.650 382 19.639 3614 50.9 29
2010 52 4.037 356 27.639 836 16.08 17 72 3.702 454 23.341 1969 27.35 28
2011 56 4.348 412 31.987 869 15.43 15 106 5.450 560 28.791 3694 34.85 33
2012 45 3.494 457 35.481 448 9.96 13 109 5.604 669 34.395 3000 27.52 28
2013 45 3.494 502 38.975 757 16.82 12 128 6.581 797 40.976 2941 22.98 29
2014 90 6.988 592 45.963 1081 12.01 16 151 7.763 948 48.739 3300 21.85 33
2015 82 6.366 674 52.329 1084 13.22 17 140 7.198 1088 55.937 2926 20.9 28
2016 81 6.289 755 58.618 933 11.52 15 196 10.077 1284 66.014 2864 14.61 27
2017 102 7.919 857 66.537 1085 10.64 17 161 8.278 1445 74.292 1749 10.86 21
2018 112 8.696 969 75.233 1422 12.7 19 155 7.969 1600 82.261 1172 7.56 17
2019 112 8.696 1081 83.929 935 8.35 13 168 8.638 1768 90.899 943 5.61 16
2020 207 16.071 1288 100 636 3.07 14 177 9.100 1945 100 298 1.68 8
Total 1288 100 14608 1945 100.00 14211 41.906

Table 3.

Annual Growth Rate of Publications

India South Korea
Year TP (%) TP Cumulative TP AGR TP (%) TP Cumulative TP AGR
TP = Total publications; AGR = Annual Growth Rate
2001 22 1.708 22 0 44 2.262 44 0
2002 31 2.407 53 40.909 26 1.337 70 -40.909
2003 27 2.096 80 -12.903 24 1.234 94 -7.692
2004 25 1.941 105 -7.407 27 1.388 121 12.500
2005 33 2.562 138 32.000 42 2.159 163 55.556
2006 38 2.95 176 15.152 43 2.211 206 2.381
2007 34 2.64 210 -10.526 56 2.879 262 30.233
2008 46 3.571 256 35.294 49 2.519 311 -12.500
2009 48 3.727 304 4.348 71 3.650 382 44.898
2010 52 4.037 356 8.333 72 3.702 454 1.408
2011 56 4.348 412 7.692 106 5.450 560 47.222
2012 45 3.494 457 -19.643 109 5.604 669 2.830
2013 45 3.494 502 0.000 128 6.581 797 17.431
2014 90 6.988 592 100.000 151 7.763 948 17.969
2015 82 6.366 674 -8.889 140 7.198 1088 -7.285
2016 81 6.289 755 -1.220 196 10.077 1284 40.000
2017 102 7.919 857 25.926 161 8.278 1445 -17.857
2018 112 8.696 969 9.804 155 7.969 1600 -3.727
2019 112 8.696 1081 0.000 168 8.638 1768 8.387
2020 207 16.071 1288 84.821 177 9.100 1945 5.357

Table 4.

Compound Annual Growth Rate of Publications

Compound annual growth rate of publications 2001–2020
CAGR (2001-2005) CAGR (2001-2010) CAGR (2011-2015) CAGR (2001-2020)
CAGR = Compound Annual Growth Rate
India 10.67% 10.03% 9.85% 12.52%
South Korea -1.16% 5.62% 8.62% 7.60%

Table 5.

Relative Growth Rate (RGR) and Doubling Time (DT) of Indian and South Korean LIS publications during 2001-2020.

India South Korea
Year TP Cumulative W1 W2 RGR Dt TP Cumulative W1 W2 RGR DT
TP = Total publications; RGR = Relative Growth Rate; DT = Doubling Time
2001 22 22 0 3.091 0 0 44 44 0 3.784 0 0
2002 31 53 3.091 3.970 0.879 0.788 26 70 3.784 4.248 0.464 1.494
2003 27 80 3.970 4.382 0.412 1.682 24 94 4.248 4.543 0.295 2.349
2004 25 105 4.382 4.654 0.272 2.548 27 121 4.543 4.796 0.253 2.739
2005 33 138 4.654 4.927 0.273 2.538 42 163 4.796 5.094 0.298 2.326
2006 38 176 4.927 5.170 0.243 2.852 43 206 5.094 5.328 0.234 2.962
2007 34 210 5.170 5.347 0.177 3.915 56 262 5.328 5.568 0.240 2.888
2008 46 256 5.347 5.545 0.198 3.500 49 311 5.568 5.740 0.172 4.034
2009 48 304 5.545 5.717 0.172 4.029 71 382 5.740 5.945 0.206 3.370
2010 52 356 5.717 5.875 0.158 4.386 72 454 5.945 6.118 0.173 4.013
2011 56 412 5.875 6.021 0.146 4.747 106 560 6.118 6.328 0.210 3.303
2012 45 457 6.021 6.124 0.103 6.728 109 669 6.328 6.506 0.178 3.897
2013 45 502 6.124 6.218 0.094 7.372 128 797 6.506 6.681 0.175 3.958
2014 90 592 6.218 6.383 0.165 4.200 151 948 6.681 6.854 0.173 3.994
2015 82 674 6.383 6.513 0.130 5.331 140 1088 6.854 6.992 0.138 5.031
2016 81 755 6.513 6.627 0.114 6.079 196 1284 6.992 7.158 0.166 4.184
2017 102 857 6.627 6.753 0.126 5.500 161 1445 7.158 7.276 0.118 5.866
2018 112 969 6.753 6.876 0.123 5.634 155 1600 7.276 7.378 0.102 6.801
2019 112 1081 6.876 6.985 0.109 6.358 168 1768 7.378 7.478 0.100 6.941
2020 207 1288 6.985 7.161 0.176 3.938 177 1945 7.478 7.573 0.095 7.263

Table 6.

Indian Most Prolific Authors in LIS

Rank Author Affiliation NP TC h_index g_index m_index
NP = Number of Publications; TC = Total Citations
1 Gangan Prathap APJ Abdul Kalam Technological University, Kerala 52 418 9 19 0.750
2 Shashank Gupta BITS, Pilani 28 819 11 28 0.000
3 Saurabh Kumar IIM, Indore 25 314 11 17 0.000
4 Mohinder Partap Satija Guru Nanak Dev University, Amritsar 23 12 2 2 0.100
5 Vinod Kumar Jamia Millia Islamia, New Delhi 20 135 7 10 0.350
6 Summer Gul University of Kashmir, Srinagar 16 80 6 8 0.500
7 Brij Mohan Gupta CSIR NISTADS, New Delhi 16 145 8 11 0.400
8 Arpan Kumar Kar IIT, New Delhi 13 357 10 13 2.000
9 Anil Kumar BML Munjal University, Gurgaon 13 168 7 12 0.438
10 Aparna Basu South Asian University, New Delhi 12 145 6 12 0.286
11 Sujit Bhattacharya CSIR NISTADS, New Delhi 12 209 8 12 0.381
12 Kailash Chandra Garg CSIR NISTADS, New Delhi 12 260 10 12 0.476
13 Devika P Madalli DRTC, Bangalore 11 40 4 6 0.286
14 Deepa Mani ISB, Hyderabad 11 317 7 11 0.583
15 Tariq Ahmad Shah Islamic University of Science and Technology, Kashmir 11 60 5 7 0.417
16 Vivek Kumar Singh Banaras Hindu University, Varanasi 11 140 5 11 0.714
17 Basavaraj Shivappa Kademani BARC, Mumbai 10 100 7 10 0.350
18 Biswanath Dutta DRTC, Bangalore 9 41 5 6 0.625

Table 7.

South Korean Most Prolific Authors in LIS

Rank Author Affiliation NP TC h_index g_index m_index
NP = Number of Publications; TC = Total Citations
1 Seyoung Lee Sungkyunkwan University, South Korea 78 1537 21 37 1.000
2 Heejin Lee Yonsei University, South Korea 78 3240 23 56 1.211
3 Han Woo Park YeungNam University, South Korea 74 1714 26 36 1.300
4 Sehwan Kim Dankook University, South Korea 73 1331 17 35 0.000
5 Jina Kim Sungkyunkwan University, South Korea 68 1061 16 31 0.762
6 Jungwoo Lee Yonsei University, South Korea 59 1311 15 35 0.789
7 Hyondong Kim Dongguk University, South Korea 47 648 13 24 0.000
8 Min Song Yonsei University, South Korea 45 555 14 22 0.000
9 Dong-Hee Shin Chung-Ang University, South Korea 40 926 18 29 1.125
10 Younghee Noh KonKuk University, South Korea 37 153 8 11 0.667
11 Youngseek Kim Sungkyunkwan University, South Korea 36 493 11 22 0.000
12 Jungwon Yoon Hanyang University, South Korea 33 776 16 27 1.231
13 Jun Houng Kim Seoul National University, South Korea 31 355 11 17 0.524
14 Kyuwoong Kim Ajou University, South Korea 30 706 13 26 0.619
15 Dongwon Lee Korea University, South Korea 28 433 12 20 0.600
16 Kyungmin Lee Kyung Hee University, South Korea 26 158 7 12 0.438
17 Jaram Park Seoul National University, South Korea 25 4658 10 25 0.556
18 Jong Hyuk Park Seoul National University of Science and Technology, South Korea 24 417 11 20 0.647

Table 8.

Indian Most Prolific Institutions in LIS

Rank Institutions TP Citations Total Link Strength
TP = Total Publications
1 Indian Institute Technology Delhi 76 1607 78
2 Indian Institute Management 64 1330 30
3 CSIR–NISCAIR 51 572 135
4 CSIR–NISTADS 48 667 30
5 DRTC, Indian Statistical Institute, Bangalore 41 227 9
6 University of Delhi 25 216 12
7 Indian School of Business, Hyderabad 24 818 2
8 University of Kashmir 22 127 18
9 Guru Nanak Dev University 21 58 8
10 APJ Abdul Kalam Technology University 20 45 27
11 Swansea University 19 719 43
12 Management Development Institute 18 223 5
13 Banaras Hindu University 17 160 21
14 National Institute Technology 17 130 4
15 Bhabha Atom Research Centre, Mumbai 16 123 0
16 Thapar University 16 158 2
17 Panjab University 15 70 6
18 Indian Institute Management, Raipur 14 144 6
19 Indian Institute Management, Calcutta 13 201 5
20 University of Hyderabad 13 45 2

Table 9.

South Korean Most Prolific Institutions in LIS

Rank Institutions TP Citations Total Link Strength
TP = Total Publications
1 Yonsei University 260 6738 497
2 KAIST, South Korea 220 9947 798
3 Seoul National University 162 2619 292
4 Sungkyunkwan University 160 2726 368
5 Korea University 135 7723 342
6 Kyung Hee University 108 2106 305
7 Yeungnam University 89 1990 545
8 Hanyang University 78 1811 156
9 Konkuk University 70 664 101
10 Sogang University 63 1896 126
11 Ewha Woman's University 61 1099 81
12 Chung Ang University 52 1335 96
13 Sejong University 50 1076 60
14 Kyungpook National University 42 1026 101
15 KISTI, South Korea 37 316 83
16 Ajou University 34 623 79
17 Pohang University of Science and Technology 32 1189 93
18 Myongji University 29 357 23
19 Hankuk University of Foreign Studies 26 257 23
20 Kookmin University 25 265 55

Table 10.

Most Preferred Journals Used by Indian Researchers

Source Country Frequency NP TC JIF 2020 JIF 2019 Citation Index
NP = Number of Publications; TC = Total Citations; JIF = Journal Impact Factor
Scientometrics Netherlands Monthly 191 2211 1.08 1.24 SCIE, SSCI
Electronic Library England Bi-monthly 104 737 0.56 0.46 SSCI
International Journal of Information Management England Bi-monthly 69 1764 4.90 4.02 SSCI
Journal of Enterprise Information Management England Bi-monthly 57 714 1.27 1.11 SSCI
Journal of Knowledge Management England Bi-monthly 51 801 2.60 2.15 SSCI
Program-Electronic Library and Information Systems England Quarterly 50 407 0.57 0.36 SCIE, SSCI
Information Processing & Management England Bi-monthly 43 831 2.14 2.04 SCIE, SSCI
Journal of Global Information Management USA Quarterly 37 143 0.61 0.64 SSCI
Knowledge Organization Germany Bi-monthly 37 67 0.34 0.50 SSCI
Information Technology for Development England Quarterly 31 261 1.45 1.04 SSCI
Telecommunications Policy England Monthly 31 424 1.12 1.18 SCIE, SSCI
Data Technologies and Applications England Quarterly 28 10 0.57 0.36 SCIE, SSCI
Journal of Information Science England Bi-monthly 26 140 1.04 1.09 SCIE, SSCI
Library Hi Tech England Quarterly 26 106 0.83 0.67 SSCI
Online Information Review England Bi-monthly 26 198 0.79 0.80 SCIE, SSCI
Journal of The American Society for Information Science and Technology USA Monthly 22 70 0.99 1.32 SCIE, SSCI
Malaysian Journal of Library & Information Science Malaysia Tri-annual 21 118 0.45 0.45 SSCI
Information Technology & People England Quarterly 20 98 1.40 1.15 SSCI
Journal of Organizational and End User Computing USA Quarterly 20 151 1.04 0.70 SCIE, SSCI
Journal of Global Information Technology Management USA Quarterly 19 65 0.79 0.63 SSCI

Table 11.

Most Preferred Journals Used by South Korean Researchers

Source Country Frequency NP TC JIF 2020 JIF 2019 Citation Index
NP = Number of Publications; TC = Total Citations; JIF = Journal Impact Factor
Scientometrics Netherlands Monthly 171 2881 1.08 1.24 SCIE, SSCI
Telematics and Informatics USA Quarterly 138 2431 2.26 2.35 SSCI
Information Processing & Management England Bi-monthly 114 2038 2.14 2.04 SCIE, SSCI
Telecommunications Policy England Monthly 114 1946 1.12 1.18 SCIE, SSCI
Information and Management USA Quarterly 104 8642 0.67 0.78 SSCI
International Journal of Information Management England Bi-monthly 97 3815 4.90 4.02 SSCI
Journal of Information Science England Bi-monthly 75 724 1.04 1.09 SCIE, SSCI
Government Information Quarterly USA Quarterly 61 1513 2.63 2.61 SSCI
Information Development England Bi-monthly 58 417 0.90 0.73 SSCI
Online Information Review England Bi-monthly 54 650 0.79 0.80 SCIE, SSCI
Information Technology & Management USA Quarterly 51 362 0.67 0.78 SSCI
Journal of Health Communication USA Monthly 47 922 1.04 1.07 SSCI
MIS Quarterly USA Quarterly 36 9322 2.01 1.96 SCIE, SSCI
Information Systems Research USA Quarterly 35 1918 1.31 1.38 SSCI
Journal of The American Medical Informatics Association England Monthly 33 428 1.43 1.66 SCIE, SSCI
Journal of The American Society for Information Science and Technology USA Monthly 33 1294 0.99 1.32 SCIE, SSCI
Journal of Informetrics Netherlands Quarterly 32 602 1.72 1.88 SCIE, SSCI
Journal of Knowledge Management England Bi-monthly 32 493 2.60 2.15 SSCI
Journal of the Association for Information Science and Technology USA Monthly 31 420 0.99 1.32 SCIE, SSCI
Journal of Global Information Management USA Quarterly 27 141 0.61 0.64 SSCI

Table 12.

Top 10 Indian highly cited papers in LIS during 2001-2020

Rank Authors Article Title Journal Times Cited DOI
1 Lin, MF; Lucas, HC; Shmueli, G Too Big to Fail: Large Samples and the p-Value Problem Inf. Syst. Res. 339 10.1287/isre.2013.0480
2 Donner, J Research approaches to mobile use in the developing world: A review of the literature Inf. Soc. 327 10.1080/01972240802019970
3 Zhang, H; Lu, YB; Gupta, S; Zhao, L What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences Inf. Manage. 265 10.1016/j.im.2014.07.005
4 Gupta, MP; Jana, D E-government evaluation: A framework and case study Gov. Inf. Q. 250 10.1016/j.giq.2003.08.002
5 Gangwar, H; Date, H; Ramaswamy, R Understanding determinants of cloud computing adoption using an integrated TAM-TOE model J. Enterp. Inf. Manag. 208 10.1108/JEIM-08-2013-0065
6 Gupta, B; Dasgupta, S; Gupta, A Adoption of ICT in a government organization in a developing country: An empirical study J. Strateg. Inf. Syst. 187 10.1016/j.jsis.2007.12.004
7 Saif, H; He, YL; Fernandez, M; Alani, H Contextual semantics for sentiment analysis of Twitter Inf. Process. Manage. 172 10.1016/j.ipm.2015.01.005
8 Kim, HW; Gupta, S; Koh, J Investigating the intention to purchase digital items in social networking communities: A customer value perspective Inf. Manage 146 10.1016/j.im.2011.05.004
9 Kamboj, S; Sarmah, B; Gupta, S; Dwivedi, Y Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response Int. J. Inf. Manage. 138 10.1016/j.ijinfomgt.2017.12.001
10 Sharma, S; Thomas, VJ Inter-country R&D efficiency analysis: An application of data envelopment analysis Scientometrics 138 10.1007/s11192-007-1896-4

Table 13.

Top 10 South Korean highly cited papers in LIS during 2001-2020

Rank Authors Article Title Journal Times Cited DOI
1 Hevner, AR; March, ST; Park, J; Ram, S Design science in Information Systems research MIS Q. 4202 NA
2 Bock, GW; Zmud, RW; Kim, YG; Lee, JN Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate MIS Q. 2000 10.2307/25148669
3 Moon, JW; Kim, YG Extending the TAM for a World-Wide-Web context Inf. Manage. 1605 10.1016/S0378-7206(00)00061-6
4 Lee, H; Choi, B Knowledge management enablers, processes, and organizational performance: An integrative view and empirical examination J. Manage. Inform. Syst. 1005 NA
5 Hong, KK; Kim, YG The critical success factors for ERP implementation: an organizational fit perspective Inf. Manage. 550 10.1016/S0378-7206(01)00134-3
6 Spink, A; Wolfram, D; Jansen, MBJ; Saracevic, T Searching the Web: The public and their queries J. Am. Soc. Inf. Sci. Technol. 475 10.1002/1097-4571(2000)9999:9999<::AID-ASI1591>3.3.CO;2-I
7 Yi, MY; Jackson, JD; Park, JS; Probst, JC Understanding information technology acceptance by individual professionals: Toward an integrative view Inf. Manage. 475 10.1016/j.im.2005.08.006
8 D'Arcy, J; Hovav, A; Galletta, D User Awareness of Security Countermeasures and Its Impact on Information Systems Misuse: A Deterrence Approach Inf. Syst. Res. 474 10.1287/isre.1070.0160
9 Ahn, T; Ryu, S; Han, I The impact of Web quality and playfulness on user acceptance of online retailing Inf. Manage. 416 10.1016/j.im.2006.12.008
10 Kim, MK; Park, MC; Jeong, DH The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services Telecommun. Policy 378 10.1016/j.telpol.2003.12.003