Vello Sermat

784 citations
18 papers · 592 · h-index 12

Impact in

Papers in

Vello Sermat

17 papers receiving 492 citations

Peers

Vello Sermat
Comparison fields: 5 of 75
  • Computational Mathematics 8
  • Social Psychology 259
  • Neuropsychology and Physiological Psychology 18
  • Experimental and Cognitive Psychology 134
  • Health 80
Replace Asghar Iran‐Nejad with:
Asghar Iran‐Nejad United States
P. S. Vivekananthan Netherlands
Floyd L. Ruch United States
Monte M. Page United States
Bradley M. Waite United States
Theo L. Dawson United States
Fred H. Wallbrown United States
Ralph Mason Dreger United States
John Sachs Hong Kong
Christopher S. Nave United States
Vello Sermat relative to Asghar Iran‐Nejad United States Asghar Iran‐Nejad's profile →
Citations per field
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Asghar Iran‐Nejad · 1×
Citations per year

Countries citing papers authored by Vello Sermat

Since Specialization
Citations

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

Fields of papers citing papers by Vello Sermat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Vello Sermat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vello Sermat Line = papers co-authored together Vello Sermat links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1962173
2 1983132
3 197378
4 196728
5 196926
6 196425
7 197823
8 196623
9 197022
10 198314
11 195911
12 196811
13 196710
14 19687
15 19665
16 19842
17 19791
18 19651

About Vello Sermat

Vello Sermat is a scholar working on Sociology and Political Science, Safety Research, Experimental and Cognitive Psychology, Management Science and Operations Research and Social Psychology, having authored 18 papers that have together received 592 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (6 papers), Evolutionary Psychology and Human Behavior (4 papers), Game Theory and Applications (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Decision-Making and Behavioral Economics (2 papers), Opinion Dynamics and Social Influence (2 papers), Plant and animal studies (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computational Mathematics (8 citations), Social Psychology (259 citations), Neuropsychology and Physiological Psychology (18 citations), Experimental and Cognitive Psychology (134 citations) and Health (80 citations). Vello Sermat has collaborated with scholars based in Canada and United States. Frequent co-authors include Robert P. Abelson, Nancy J. Schmidt, Jerry G. Ells and Esther R. Greenglass. Their work appears in journals such as Journal of Personality and Social Psychology, The Journal of Social Psychology, Canadian Psychology/Psychologie canadienne, Systems Research and Behavioral Science and Journal of Conflict Resolution.

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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