Jennifer K. Vrabel

37 total papers · 863 total citations
21 papers, 537 citations indexed

About

Jennifer K. Vrabel is a scholar working on Clinical Psychology, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Jennifer K. Vrabel has authored 21 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Psychology, 13 papers in Social Psychology and 7 papers in Sociology and Political Science. Recurrent topics in Jennifer K. Vrabel's work include Personality Traits and Psychology (17 papers), Personality Disorders and Psychopathology (7 papers) and Social and Intergroup Psychology (4 papers). Jennifer K. Vrabel is often cited by papers focused on Personality Traits and Psychology (17 papers), Personality Disorders and Psychopathology (7 papers) and Social and Intergroup Psychology (4 papers). Jennifer K. Vrabel collaborates with scholars based in United States, Israel and Brazil. Jennifer K. Vrabel's co-authors include Virgil Zeigler‐Hill, Ashton C. Southard, Gillian A. McCabe, Kelsey A. Hobbs, Melissa M. McDonald, Martha Escobar, Avi Besser, Amy E. Noser, Lisa L. M. Welling and Justin K. Mogilski and has published in prestigious journals such as Personality and Individual Differences, Journal of Personality and Journal of Research in Personality.

In The Last Decade

Jennifer K. Vrabel

21 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
Jennifer K. Vrabel	324	248	149	138	48	21	537
Björn Persson	301 0.9×	183 0.7×	139 0.9×	121 0.9×	60 1.3×	18	575
Michael P. Grosz	356 1.1×	245 1.0×	164 1.1×	188 1.4×	17 0.4×	23	597
Bertil Törestad	186 0.6×	178 0.7×	96 0.6×	150 1.1×	28 0.6×	18	521
Kelly N. Clark	225 0.7×	334 1.3×	117 0.8×	149 1.1×	43 0.9×	26	542
Jeremy Tost	466 1.4×	162 0.7×	137 0.9×	242 1.8×	19 0.4×	13	577
Leila Selimbegović	221 0.7×	235 0.9×	183 1.2×	153 1.1×	49 1.0×	37	599
Michael T. Warren	229 0.7×	226 0.9×	130 0.9×	70 0.5×	45 0.9×	27	536
Maria D’Alessio	162 0.5×	277 1.1×	134 0.9×	144 1.0×	57 1.2×	18	594
Max Hammer	153 0.5×	225 0.9×	109 0.7×	112 0.8×	59 1.2×	16	479
Vello Sermat	107 0.3×	259 1.0×	187 1.3×	134 1.0×	70 1.5×	18	592

Countries citing papers authored by Jennifer K. Vrabel

Since Specialization

Citations

This map shows the geographic impact of Jennifer K. Vrabel'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 Jennifer K. Vrabel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer K. Vrabel more than expected).

Fields of papers citing papers by Jennifer K. Vrabel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Vrabel. 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 Jennifer K. Vrabel. The network helps show where Jennifer K. Vrabel may publish in the future.

Co-authorship network of co-authors of Jennifer K. Vrabel

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Vrabel. A scholar is included among the top collaborators of Jennifer K. Vrabel 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 Jennifer K. Vrabel. Jennifer K. Vrabel 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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