Lotka law applied to the scientific production of Information Science area

Sobrino, Maria Isabel Martín; Caldes, Ana Isabel Pestana; Guerrero, Antonio Pulgarín

doi:10.36311/1981-1640.2008.v2n1.03.p16

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…Braithwaite J was the top local cited author, followed by Gavris C (45) and Liu Z (36). The study supported Lotka's law ( Martín Sobrino et al, 2009 ). Two thousand five hundred fifty-two authors contributed at least one paper to the theme of the study, 173 authors contributed two articles, and 65 authors contributed three papers.…”

supporting

confidence: 78%

Schizophrenia and COVID-19: A bibliometric analysis of trends and themes

Shekhar

2023

Schizophrenia Research

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supporting

confidence: 78%

Schizophrenia and COVID-19: A bibliometric analysis of trends and themes

Shekhar

2023

Schizophrenia Research

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“…In the similar vein, in another study on LISA database, Singh et al (2007) could not correlate Lotka’s law in the author productivity data of papers on digital libraries from LISA for the period of 1998–2004. On the other hand, Sobrino et al (2008) examine the applicability of Lotka’s law in the papers of LISA published between 1996 and 2008 and find an excellent fit to the author productivity data. Barik and Jena (2014) in their study growth of LIS research papers in India seen through Scopus reveal the inapplicability of Lotka’s law with author productivity data of LIS journals.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This law has been extensively used in the field of science, social science and humanities particularly in the field of library and information science (LIS). Askew (2008), Sobrino et al (2008); Maz-Machado et al (2017), Sen et al (2017); and Sahoo et al (2019) have already tested the law with the scientific productivity of authors in LIS. The said studies are of different dimensions regarding selection of journals, coverage years and databases used.…”

Section: Introductionmentioning

confidence: 99%

Author productivity pattern and applicability of Lotka’s inverse square law: a bibliometric appraisal of selected LIS open access journals

Barik

Jena

2021

DLP

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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 open access journals. Design/methodology/approach The publication data of selected ten LIS open access journals pertain to authorship, citations were downloaded from the Scopus database and analysed using bibliometric indicators like authorship pattern, collaborative index (CI), degree of collaboration (DC), collaborative coefficient (CC) and citation counts. This study has applied Lotka’s inverse square law to assess authors’ productivity pattern of LIS open access journals and further Kolmogorov-Smirnov (K-S) goodness-of-fit test applied for testing of observed and expected author productivity data. Findings Inferences were drawn for the set objectives on authorship pattern, collaboration trend and authors’ productivity pattern of LIS open access journals covered in this study. The single authorship pattern is dominant in LIS open access journals covered in this study. The CI, DC and CC are found to be 1.95, 0.47 and 0.29, respectively. The expected values as per Lotka’s law (n = −2) significantly vary from the observed values as per the chi-square test and K-S goodness-of-fit test. Hence, this study does not adhere to Lotka’s inverse square law of scientific productivity. Practical implications Researchers may find an idea about the authors’ productivity patterns of LIS open access journals. This study has used the K-S goodness-of-fit test and the chi-square test to validate the authors’ productivity data. The inferences found out from this study will be a baseline for future research on author productivity of LIS open access journals. Originality/value This study is significant from the viewpoint of the growing research on open access journals in the field of LIS and to identify the authorship pattern, collaboration trend and author productivity pattern of such journals.

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“…Voos (1974), for example, researched authors' effectiveness in the field of information science. Two recent books guide librarians on bibliometrics and altmetrics, and the contested area of research evaluation using metrics linked to publications tested a version of Lotka's law for writers writing in the field of knowledge science between 1996(Sobrino et al, 2009. Roemer and Borchardt (2015) present a guide for librarians on bibliometrics, altmetrics and research impact, Cronin and Sugimoto (2015) discussed multidimensional indicators of scholarly impact.…”

Section: Overview Of Bibliometric Researchmentioning

confidence: 99%

Mapping of research output in the Indian veterinary journal through Google Scholar

2021

DSI

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This paper presents a scientometric study of Indian Veterinary Journal (IVJ) using Publish or Perish (PoP) during the period 1977-2016 (39 years). The study used Google Scholar to obtain raw citations and analyze various citation metrics to find the impact of Indian Veterinary Journal on emerging research. The growth of contributions by year, authorship trends, author productivity by Lotka's law, single and multi-authored papers by year, and the most prolific contributors was examined in a total of thousands of research papers. Also, the relative IVJ growth rate and doubling time are evaluated for the period of the sample. The data analysis revealed that the highest number of submissions, i.e. 223 (22.30 percent), was published in the years 1992-1996. The total number of authors per paper is 2.97, the highest number of the output of authors, i.e. 15 research papers; the collaboration degree is 0.91% . For a more comprehensive evaluation of the effects of research and scholarly production, the paper suggests journal and author productivity collaborative practice using sensibly selected metrics.

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Lotka law applied to the scientific production of Information Science area

Cited by 6 publications

References 16 publications

Schizophrenia and COVID-19: A bibliometric analysis of trends and themes

Schizophrenia and COVID-19: A bibliometric analysis of trends and themes

Author productivity pattern and applicability of Lotka’s inverse square law: a bibliometric appraisal of selected LIS open access journals

Mapping of research output in the Indian veterinary journal through Google Scholar

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