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.
Authors
- Oleg V. Varlamov (ORCID: https://orcid.org/0000-0002-3996-9156)
- Svetlana Dymkova (ORCID: https://orcid.org/0000-0003-1945-9850)
- Irina S. Kretova
Institutions
- Moscow Technical University of Communication and Informatics (RU)
- Institute of Radio and Information Systems (IRIS)
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