2021
DOI: 10.1108/dlp-10-2020-0103
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Author productivity pattern and applicability of Lotka’s inverse square law: a bibliometric appraisal of selected LIS open access journals

Abstract: Purpose The purpose of this paper is to know whether the authors’ productivity pattern of library and information science (LIS) open access journals adheres to Lotka’s inverse square law of scientific productivity. Since the law was introduced, it has been tested in various fields of knowledge, and results have varied. This study has closely followed Lotka’s inverse square law in the field of LIS open access journals to find a factual result and set a baseline for future studies on author productivity of LIS o… Show more

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Cited by 8 publications
(3 citation statements)
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“…(2021), Ramos-Rodriguez et al. (2021), Barik and Jena (2021), Gupta et al. (2021), Sahoo and Pandey (2020), Garg and Kumar (2019), etc., have used these indicators and parameters to understand the research impact and collaborative authorship patterns.…”
Section: Scope Database and Methodologymentioning
confidence: 99%
“…(2021), Ramos-Rodriguez et al. (2021), Barik and Jena (2021), Gupta et al. (2021), Sahoo and Pandey (2020), Garg and Kumar (2019), etc., have used these indicators and parameters to understand the research impact and collaborative authorship patterns.…”
Section: Scope Database and Methodologymentioning
confidence: 99%
“…It suggests that a minority of authors with a large number of scientific outputs typically have a greater impact, while the majority of authors exhibit lower productivity and impact. This distribution pattern has been observed across various disciplines, including education [ 19 ], computing [ 20 ], medicine [ 21 ], and others.…”
Section: Resultsmentioning
confidence: 97%
“…We applied bibliometric analysis using Bibliometrix, a state-of-the-art tool developed using the R programming language (Aria & Cuccurullo, 2020). Bibliometric analysis is a useful tool for gaining insight into the direction, state, and operation of a journal, and has been applied to the analysis of journals in various fields (Allik, 2013; Barik & Jena, 2021; Rauniyar et al, 2021; Sharma et al, 2021; Thanuskodi, 2017; Yihua et al, 2022). Notably, several bibliometric studies on special education have been published in recent years (Comarú et al, 2021; Hernández-Torrano et al, 2022; Sezgin et al, 2022).…”
Section: Introductionmentioning
confidence: 99%