Umit Tokac

41 total papers · 571 total citations
19 papers, 374 citations indexed

About

Umit Tokac is a scholar working on Clinical Psychology, Social Psychology and Radiological and Ultrasound Technology. According to data from OpenAlex, Umit Tokac has authored 19 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 4 papers in Social Psychology and 3 papers in Radiological and Ultrasound Technology. Recurrent topics in Umit Tokac's work include Behavioral Health and Interventions (3 papers), COVID-19 and Mental Health (3 papers) and Motivation and Self-Concept in Sports (3 papers). Umit Tokac is often cited by papers focused on Behavioral Health and Interventions (3 papers), COVID-19 and Mental Health (3 papers) and Motivation and Self-Concept in Sports (3 papers). Umit Tokac collaborates with scholars based in United States, South Africa and China. Umit Tokac's co-authors include Christopher G. Thompson, Elena Novak, Selen Razón, Anne F. Fish, Güler Arsal, Gershon Tenenbaum, Erin D. Bigler, Alfred L. Ochs, David E. Ross and David F. Tate and has published in prestigious journals such as Medicine & Science in Sports & Exercise, International Journal of Environmental Research and Public Health and World Journal of Surgery.

In The Last Decade

Umit Tokac

18 papers receiving 353 citations

Hit Papers

Effects of game‐based lea... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Umit Tokac 181 86 65 52 50 19 374
William Harris Ressler 137 0.8× 44 0.5× 39 0.6× 47 0.9× 83 1.7× 15 348
Margaret Edwards 135 0.7× 254 3.0× 54 0.8× 38 0.7× 42 0.8× 33 415
Kyle Heyne 240 1.3× 64 0.7× 50 0.8× 22 0.4× 79 1.6× 13 377
Alberto Sanmiguel-Rodríguez 153 0.8× 73 0.8× 32 0.5× 59 1.1× 64 1.3× 34 354
Helen Jossberger 115 0.6× 186 2.2× 36 0.6× 29 0.6× 35 0.7× 20 392
Darlene E. Crone‐Todd 122 0.7× 133 1.5× 36 0.6× 19 0.4× 23 0.5× 15 335
Sónia Fuentes 80 0.4× 179 2.1× 33 0.5× 45 0.9× 53 1.1× 25 357
Manuela Tomai 67 0.4× 105 1.2× 28 0.4× 24 0.5× 77 1.5× 28 357
Eva Jiménez-García 52 0.3× 157 1.8× 35 0.5× 51 1.0× 35 0.7× 26 389
Charles J. Ansorge 93 0.5× 94 1.1× 48 0.7× 22 0.4× 67 1.3× 21 397

Countries citing papers authored by Umit Tokac

Since Specialization
Citations

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

Fields of papers citing papers by Umit Tokac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umit Tokac. 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 Umit Tokac. The network helps show where Umit Tokac may publish in the future.

Co-authorship network of co-authors of Umit Tokac

This figure shows the co-authorship network connecting the top 25 collaborators of Umit Tokac. A scholar is included among the top collaborators of Umit Tokac 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 Umit Tokac. Umit Tokac 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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