Browsing by Author "Verma, Manoj Kumar"

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    Gender Discrepancy in Open Access LIS Research: A Case Study of Journal of Scientometric Research
    (INFLIBNET Centre Gandhinagar, 2024-09-19) Daimari, Viv Ringsar; Verma, Manoj Kumar
    The present study deals in mapping the published literature in the reputed open access LIS journal, i.e. Journal of Scientometric Research. The research publications of the selected journal during 2019-2023 have been extracted from the Scopus database. Only the articles and review papers consisting of 249 documents are being considered for the study. The identification of gender has been performed using the Namsor software. The study assesses the annual growth of published literature on the basis of first authors’ gender, investigates the first authors’ productivity and citation received to the published literature through gender lens and revealed the number of single-authored research publications and their impact on gender perspective. The findings revealed that there is a significant gender gap in the research productivity and impact among the authors. Male authors are found to be dominant over female authors significantly in the research output and also in the case of citation. The female LIS professionals need to contribute more in the research productivity of reputed LIS journals and improve the quality of the research works to have more influence among the information seekers.
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    Global Research Trends in “Big Data” during 2012-21: A Data Mining based on Scientometric Tools
    (INFLIBNET Centre, Gandhinagar, 2022-11) Borgohain, Dhruba Jyoti; Yadav, Sunil Kumar; Verma, Manoj Kumar
    The term “big data” is becoming widespread throughout the world, as it has wide usage because it is no longer limited to the IT industry and entrepreneurship but has entered every aspect of media and communications. But the reason for using big data is only it’s ability in searching, collecting and interpreting huge datasets. Now, the purpose of this paper is to scrutinize the papers related to big data and other relevant fields. Using bibliometric methods and techniques these papers are analyzed and reviewed. The author examined the citation behavior, co-authorship patterns, research hot spots, and trending topics using both traditional and state-of-the-art network visualization and text mining in bibliometric techniques. From the analysis of keyword co-occurrence, a set of 12 clusters of keywords are discovered. Each cluster with identical color and theme. The research hot spots discovered are blockchain, digital twin, artificial intelligence, and the internet of things. The emergence of these keywords indicate that these areas are having lot of scope for future research. To best of knowledge, this study is a first attempt to discover the research streams and will help the researchers to work in these areas to explore new areas and applications of big data in relevant fields.
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    Perception and Use of Social Networking Sites (SNSs) by the Students of Mizoram University (MZU): A Survey
    (INFLIBNET Centre, Gandhinagar, 2016-11) Verma, Manoj Kumar; Devi, Ksh. Krishna
    Social networking sites have become a part of life for almost everyone where people use to communicate their ideas and thoughts with one another. The present study is focused on the use of social networking sites by the students of Mizoram University (MZU), Aizawl, India. The survey method and random sampling technique has been used for the collection of data for the present study. 300 detailed questionnaires were distributed among the students of Under Graduate (UG), Post Graduate (PG), and Ph.D. Scholars of MZU where 262 duly filled-in questionnaires were received in total where 35% are UG, 38% are PG, and 27% is Ph.D. scholars. The analysis of the collected data is presented in tables and charts followed by the interpretation. The present study reveals that the majority of the students are aware of SNSs and using one or more than one social networking sites, where Facebook and YouTube are found as the most commonly used SNSs by the students of MZU.
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    Webometric Analysis of Selected Library Consortium Websites of India: An Evaluative Study
    (INFLIBNET Centre, 2017-08) Verma, Manoj Kumar; Brahma, Krishna
    Nowadays, due to increase in the cost of the information resources, it is quite difficult for the libraries to procure all the information sources are required by the users. When the Library Consortium, for the dissemination of electronic resources got initiated, many institutional problems got solved by financial assistance to the university libraries. Many consortia in India are running well and many library consortium members are benefited too. The present study is an attempt to examine the websites of 9 Selected Library Consortia in India by analyzing the total number of webpages, domain authority, equity-links, internal & external links and based on that to calculate the web impact factor and to rank it. The study observed that Consortium like e-ShodhSindhu and DeLCon are the most popular among the 9 selected consortia of India.