Publication Trend in DESIDOC Journal of Library and Information Technology during 2013-2017: A Scientometric Approach

Fuente: arXiv
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Autores principales: Batcha, M Sadik, Jahina, S Roselin, Ahmad, Muneer
Formato: Preprint
Publicado: 2025
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author Batcha, M Sadik
Jahina, S Roselin
Ahmad, Muneer
author_facet Batcha, M Sadik
Jahina, S Roselin
Ahmad, Muneer
contents DESIDOC Journal of Library & Information Technology (DJLIT) formerly known as DESIDOC Bulletin of Information Technology is a peer-reviewed, open access, bimonthly journal. This paper presents a Scientometric analysis of the DESIDOC Journal. The paper analyses the pattern of growth of the research output published in the journal, pattern of authorship, author productivity, and, subjects covered to the papers over the period (2013-2017). It is found that 227 papers were published during the period of study (2001-2012). The maximum numbers of articles were collaborative in nature. The subject concentration of the journal noted is Scientometrics. The maximum numbers of articles (65%) have ranged their thought contents between 6 and 10 pages. The study applied standard formula and statistical tools to bring out the factual result.
format Preprint
id arxiv_https___arxiv_org_abs_2511_04082
institution arXiv
publishDate 2025
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spellingShingle Publication Trend in DESIDOC Journal of Library and Information Technology during 2013-2017: A Scientometric Approach
Batcha, M Sadik
Jahina, S Roselin
Ahmad, Muneer
Digital Libraries
Information Retrieval
DESIDOC Journal of Library & Information Technology (DJLIT) formerly known as DESIDOC Bulletin of Information Technology is a peer-reviewed, open access, bimonthly journal. This paper presents a Scientometric analysis of the DESIDOC Journal. The paper analyses the pattern of growth of the research output published in the journal, pattern of authorship, author productivity, and, subjects covered to the papers over the period (2013-2017). It is found that 227 papers were published during the period of study (2001-2012). The maximum numbers of articles were collaborative in nature. The subject concentration of the journal noted is Scientometrics. The maximum numbers of articles (65%) have ranged their thought contents between 6 and 10 pages. The study applied standard formula and statistical tools to bring out the factual result.
title Publication Trend in DESIDOC Journal of Library and Information Technology during 2013-2017: A Scientometric Approach
topic Digital Libraries
Information Retrieval
url https://arxiv.org/abs/2511.04082