Scientometric Analysis of the TIRVED-2024 Conference Papers Reviewing Results

The use of technology for analyzing scientometric indicators of individual scientists and universities plays an important role in organizational systems management in terms of scientific organizations' publication programs implementation. This article continues a series of studies by the authors aimed at establishing a connection between formal scientometric indicators of article authors and the success of peer-review process. In article analyzes the results of peer-reviewing from TIRVED-2024 international conference, held with the technical support of IEEE, whose articles are being prepared for publication in the IEEEXplore electronic library. The distribution of indicators by conference sections and scientometric analysis of conference materials by the Hirsch index of authors and organizations are carried out.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/tirved63561.2024.10769930
Citations
5
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.45
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article

Scientometric Analysis of the TIRVED-2024 Conference Papers Reviewing Results

Oleg V. Varlamov, Svetlana Dymkova, Irina S. Kretova
5 citations
Impact of AI and Big Data on Business and Society
2.45
article

Scientometric Analysis of the TIRVED-2024 Conference Papers Reviewing Results

Oleg V. Varlamov, Svetlana Dymkova, Irina S. Kretova
article en
5 citations

Abstract

The use of technology for analyzing scientometric indicators of individual scientists and universities plays an important role in organizational systems management in terms of scientific organizations' publication programs implementation. This article continues a series of studies by the authors aimed at establishing a connection between formal scientometric indicators of article authors and the success of peer-review process. In article analyzes the results of peer-reviewing from TIRVED-2024 international conference, held with the technical support of IEEE, whose articles are being prepared for publication in the IEEEXplore electronic library. The distribution of indicators by conference sections and scientometric analysis of conference materials by the Hirsch index of authors and organizations are carried out.

Moscow Technical University of Communication and Informatics (RU), Institute of Radio and Information Systems (IRIS)
Openalex Percentile: Top 10%
Impact of AI and Big Data on Business and Society
2.45
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