Analysis of published research in IP Indian Journal of Library Science and Information Technology: A Bibliometric Study during 2016-2020

Bibliometrics is the discipline where quantitative methods were employed to probe the scientific communication process by measuring and analyzing various aspects of written documents. It helps to monitor the growth of literature and patterns of research. The present paper is based on the analysis of IP Indian Journal of Library Science and Information Technology (IJLSIT) with the help of bibliometrics parameters during the period 2016 to 2020. Among the several bibliometric parameters, the study utilizes mainly the number of articles per volume or year, authorship pattern, collaborative pattern, top-most authors, state-, designation-& affiliation-wise contribution, reference per article count, cited resources type, research trends and research interests. The research data of this study collected manually, analysed with the help of an MS Excel spreadsheet and distinguished according to different types of bibliometric elements. The findings of the study suggested that in IJLSIT, the maximum number of articles published in the year 2019 (25.74%), 53.47% (54) articles contributed by a single author, and the overall collaboration rate is 0.47. Furthermore, 90% (91) of articles contributed by Indian authors and Hemantha Kumar G.H. is the most productive author. Maharastra (18.81%) being the most contributed Indian state, Benue State University & Rayalaseema University (4.95%) being the most contributed institutions and College Librarians are the most designated contributors (20.79%). The study further revealed that 0-5 pages are the most common length, 6-10 references are the most common references used per article, and periodicals are the most commonly cited reference types. The area “Digital Library” is nurtured most among researchers, whereas, the year 2018, vol. 3, issue 1 consists of the maximum views number (18.01%) and the year 2020, vol. 5, issue 1 has the most number of downloads (22.92%). Keywords: Bibliometrics, Research Productivity, IP Indian Journal of