Catherine Verniers

28 total papers · 1.5k total citations
12 papers, 171 citations indexed

About

Catherine Verniers is a scholar working on Gender Studies, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Catherine Verniers has authored 12 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Gender Studies, 6 papers in Sociology and Political Science and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Catherine Verniers's work include Gender Roles and Identity Studies (4 papers), Education, Achievement, and Giftedness (4 papers) and Gender Diversity and Inequality (4 papers). Catherine Verniers is often cited by papers focused on Gender Roles and Identity Studies (4 papers), Education, Achievement, and Giftedness (4 papers) and Gender Diversity and Inequality (4 papers). Catherine Verniers collaborates with scholars based in France, United States and Switzerland. Catherine Verniers's co-authors include Delphine Martinot, Jorge Vala, Virginie Bonnot, Benoìt Dompnier, Laurent Sovet, Thomas Breda, Cristina Aelenei, Joseph R. Cimpian and Andrei Cimpian and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Acta Psychologica.

In The Last Decade

Catherine Verniers

12 papers receiving 158 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Catherine Verniers 85 80 34 34 32 12 171
Frances Cherry 118 1.4× 66 0.8× 65 1.9× 30 0.9× 24 0.8× 19 208
Sylvia Shaw 37 0.4× 77 1.0× 24 0.7× 12 0.4× 33 1.0× 12 203
Thomas S. Henricks 130 1.5× 90 1.1× 24 0.7× 12 0.4× 35 1.1× 18 225
Sophie L. Kuchynka 96 1.1× 122 1.5× 64 1.9× 47 1.4× 49 1.5× 14 271
Samantha Holland 191 2.2× 151 1.9× 42 1.2× 20 0.6× 21 0.7× 17 285
Timothy W. Elig 113 1.3× 80 1.0× 69 2.0× 55 1.6× 47 1.5× 14 263
Daniela V. Negraia 126 1.5× 39 0.5× 49 1.4× 14 0.4× 30 0.9× 11 217
Eleanor S. Boll 59 0.7× 36 0.5× 34 1.0× 33 1.0× 28 0.9× 17 194
Martin M. Grossack 93 1.1× 30 0.4× 60 1.8× 15 0.4× 70 2.2× 20 254
Karen Grover Duffy 87 1.0× 30 0.4× 28 0.8× 14 0.4× 24 0.8× 17 195

Countries citing papers authored by Catherine Verniers

Since Specialization
Citations

This map shows the geographic impact of Catherine Verniers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Catherine Verniers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Verniers more than expected).

Fields of papers citing papers by Catherine Verniers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Verniers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Catherine Verniers. The network helps show where Catherine Verniers may publish in the future.

Co-authorship network of co-authors of Catherine Verniers

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Verniers. A scholar is included among the top collaborators of Catherine Verniers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine Verniers. Catherine Verniers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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