Self-citation pattern among world's top 2 % of the scientists

Although self-citation is a common practice among scholars, its impact and significance remain under scrutiny within the academic community. The current study aimed to provide a detailed analysis and ranking of the top 2 % scientists on self-citation, ranked by Stanford University researchers. Data extraction and organisation were performed between January and February 2024. Self-citation percentages were collected for authors belonging to 20 fields and 174 subfields using Excel spreadsheets. Entities were categorised into quartiles based on their self-citation percentages and rankings were assigned accordingly. Comparative analyses were conducted to assess the impact of self-citations on overall rankings. The study focused on data published by a group of researchers from Stanford University regarding the top 2 % of researchers, analysing the career-long records of 204,643 scholars and 210,198 scholars for the most recent year, 2022. Notably, in the single-year analysis, among the top 20 countries, approximately eight (40 %) exhibited self-citation percentages exceeding the average of 25.96 %. The self-citation percentages ranged from 4.47 % in Economics and Business to 20.88 % in Physics and Astronomy. Regarding career-long analysis, the percentage of self-citations ranged from 22.84 % in Poland to 41.31 % in Armenia, with significant drop in rankings among most entities when self-citations were excluded. These findings highlight the dramatic impact of self-citation exclusion on the rankings of the top 2 % of the researchers, underscoring the critical importance of accounting for self-citation in ranking assessments.

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Publication Details

Journal
Heliyon
Published
2025-02-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e42471
Citations
3
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
4.20
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Self-citation pattern among world's top 2 % of the scientists

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3 citations
Heliyon
scientometrics and bibliometrics research
4.20
article

Self-citation pattern among world's top 2 % of the scientists

Kayhan A. Najar, Shvan H. Mohammed, Sasan M. Ahmed, Rawa Bapir, Ameer M. Salih, Fattah H. Fattah, Karokh K. Mohammed, Sami S. Omar, Fahmi hussein Kakamad, Jaafar Omer Ahmed, Aso S. Muhialdeen, Ayman M. Mustafa, Berun A. Abdalla, Hiwa O. Baba, Shevan M. Mustafa
article en
3 citations

Abstract

Although self-citation is a common practice among scholars, its impact and significance remain under scrutiny within the academic community. The current study aimed to provide a detailed analysis and ranking of the top 2 % scientists on self-citation, ranked by Stanford University researchers. Data extraction and organisation were performed between January and February 2024. Self-citation percentages were collected for authors belonging to 20 fields and 174 subfields using Excel spreadsheets. Entities were categorised into quartiles based on their self-citation percentages and rankings were assigned accordingly. Comparative analyses were conducted to assess the impact of self-citations on overall rankings. The study focused on data published by a group of researchers from Stanford University regarding the top 2 % of researchers, analysing the career-long records of 204,643 scholars and 210,198 scholars for the most recent year, 2022. Notably, in the single-year analysis, among the top 20 countries, approximately eight (40 %) exhibited self-citation percentages exceeding the average of 25.96 %. The self-citation percentages ranged from 4.47 % in Economics and Business to 20.88 % in Physics and Astronomy. Regarding career-long analysis, the percentage of self-citations ranged from 22.84 % in Poland to 41.31 % in Armenia, with significant drop in rankings among most entities when self-citations were excluded. These findings highlight the dramatic impact of self-citation exclusion on the rankings of the top 2 % of the researchers, underscoring the critical importance of accounting for self-citation in ranking assessments.

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scientometrics and bibliometrics research
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