Lotka's Law and Pattern of Author Productivity in the Field of Brain Concussion Research: A Scientometric Analysis

Fuente: arXiv
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Détails bibliographiques
Auteurs principaux: Jahina, S. Roselin, Batcha, M Sadik, Ahmad, Muneer
Format: Preprint
Publié: 2021
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author Jahina, S. Roselin
Batcha, M Sadik
Ahmad, Muneer
author_facet Jahina, S. Roselin
Batcha, M Sadik
Ahmad, Muneer
contents The present study deals a scientometric analysis of 8486 bibliometric publications retrieved from the Web of Science database during the period 2008 to 2017. Data is collected and analyzed using Bibexcel software. The study focuses on various aspect of the quantitative research such as growth of papers (year wise), Collaborative Index (CI), Degree of Collaboration (DC), Co-authorship Index (CAI), Collaborative Co-efficient (CC), Modified Collaborative Co-Efficient (MCC), Lotka's Exponent value, Kolmogorov-Smirnov test (K-S Test).
format Preprint
id arxiv_https___arxiv_org_abs_2102_11983
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Lotka's Law and Pattern of Author Productivity in the Field of Brain Concussion Research: A Scientometric Analysis
Jahina, S. Roselin
Batcha, M Sadik
Ahmad, Muneer
Digital Libraries
The present study deals a scientometric analysis of 8486 bibliometric publications retrieved from the Web of Science database during the period 2008 to 2017. Data is collected and analyzed using Bibexcel software. The study focuses on various aspect of the quantitative research such as growth of papers (year wise), Collaborative Index (CI), Degree of Collaboration (DC), Co-authorship Index (CAI), Collaborative Co-efficient (CC), Modified Collaborative Co-Efficient (MCC), Lotka's Exponent value, Kolmogorov-Smirnov test (K-S Test).
title Lotka's Law and Pattern of Author Productivity in the Field of Brain Concussion Research: A Scientometric Analysis
topic Digital Libraries
url https://arxiv.org/abs/2102.11983