Measuring the growth and impact of library and information science research in India: a multidimensional scientometric assessment

Muzamil Mushtaq · Basharat Ahmad Malik

6 citations0/0 files storedGlobal Knowledge, Memory and Communication

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scientometrics and bibliometrics research Library Science and Information Psychology Research and Bibliometrics

Abstract

Purpose This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used for data retrieval. The study examines productivity in terms of source types, gender distribution, document formats, authorship and other factors. In addition, this study sought to identify trends or patterns in the research preferences of LIS scientists through text analysis. Design/methodology/approach Data were downloaded from the WoS and Scopus databases over 22 years and analysed using VOSviewer, Orange, Biblioshiny and CRExplorer softwares. Findings The findings reveal that 5,692 out of the 9,384 documents in both databases underwent the final examination. In total, 466 different sources produced all of those papers. Author analysis revealed that 6,603 different authors authored 5,692 documents. There were 4,209 male and 1,063 female authors. Furthermore, India shares maximum collaborations with the USA and England. The spectrogram features nine significant peaks corresponding to Lotka’s, Bradford’s and similar laws. Text analysis revealed that Indian LIS researchers have consistently investigated open access and digital or open libraries. Research limitations/implications The findings of this study will provide readers with a better understanding of India’s contribution to LIS. In addition, the study will help academics identify research gaps and undiscovered areas in the Indian context that require further investigation. Originality/value Not many studies highlight Indian research trends and international collaboration in LIS. This study highlights research trends, collaboration and gender productivity in LIS. The most cited references and trending topics were also identified using reference publication year spectroscopy and text analysis techniques.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1963Little Science, Big Science 1926The frequency distribution of scientific productivity 1983Bibliometric studies of research collaboration: A review 1969DOCUMENTATION NOTES 2019Web of Science and Scopus language coverage 1988Collaborative coefficient: A single measure of the degree of collaboration in research 2013Detecting the historical roots of research fields by reference publication year spectroscopy ( RPYS )

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