Self-evaluation: A method for the assessment of scientific output

Tolga Yuret*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We asked social science researchers to state their top 3 publications. 2, 331 academics who work in 42 countries responded to the survey. The respondents' Google Scholar and Scopus profiles, and their biographical information are also collected. Preliminary results show that 17% of the top 3 publications are not indexed in Scopus. The ratio of the top 3 publications that are not indexed in Scopus is 74% for books and 83% for non-English publications. The best publications have more citations than the second and third-best publications in Scopus, but the same result cannot be attained when Google Scholar citations are used. This is still a project in progress. When the project is completed, we aim to fully analyze the self-evaluations by the bibliometric data and incorporate this information to improve the assessment of scientific output.

Original languageEnglish
Title of host publicationResearch in Progess
EditorsYong Yeol Ahn, Johan L. Bollen, Katy Borner, Kevin W. Boyack, Santo Fortunato, Stasa Milojevic, Filippo Radicchi, Andrea Scharnhorst, Caroline Wagner
PublisherInternational Society for Scientometrics and Informetrics
Pages521-527
Number of pages7
ISBN (Electronic)9780000000002
Publication statusPublished - 2024
Event19th International Conference on Scientometrics and Informetrics, ISSI 2023 - Bloomington, United States
Duration: 2 Jul 20235 Jul 2023

Publication series

Name19th International Conference on Scientometrics and Informetrics, ISSI 2023 - Proceedings
Volume2

Conference

Conference19th International Conference on Scientometrics and Informetrics, ISSI 2023
Country/TerritoryUnited States
CityBloomington
Period2/07/235/07/23

Bibliographical note

Publisher Copyright:
© 2024 International Society for Scientometrics and Informetrics (I.S.S.I.).

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