Identification of Actual Bibliometric/Scientometric Issues Based on 2018-2022 Data from the Lens Platform by Building Key Term Co-occurrence Network

Boris Chigarev

doi:10.20944/preprints202212.0533.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 26 December 2022 / Approved: 28 December 2022 / Online: 28 December 2022 (09:07:13 CET)

The purpose of this article is to demonstrate the ability of bibliometric data from the Lens platform to identify relevant bibliometric/scientometric issues based on the construction of a network of key terms co-occurrence and their clustering. The advantages of using the Lens platform for bibliometric analysis are briefly demonstrated. Key terms were selected on the basis of n-grams and noun phrases. VOSviewer, Scimago Graphica, and Sifaka text mining application were used as analytical tools. Analysis of the Lens metadata on bibliometrics/scientometrics showed their predominant use in the political, social, and medical fields of research.

bibliometrics, scientometrics, the Lens, key terms, VOSviewer, Scimago Graphica

Computer Science and Mathematics, Information Systems

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Identification of Actual Bibliometric/Scientometric Issues Based on 2018-2022 Data from the Lens Platform by Building Key Term Co-occurrence Network

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