Kyle Richardson

2.6k citations
75 papers · 862 · h-index 18

Impact in

Papers in

Kyle Richardson

72 papers receiving 833 citations

Peers

Kyle Richardson
Comparison fields: 5 of 66
  • Clinical Psychology 356
  • Social Psychology 299
  • Applied Psychology 50
  • Experimental and Cognitive Psychology 130
  • Artificial Intelligence 248
Replace Juliane M. Stopfer with:
Juliane M. Stopfer Germany
Jonathan E. Ramsay Singapore
Lesa A. Stern United States
Leesa Dillman United States
Hyisung C. Hwang United States
Janet Walker United States
Jordan Carpenter United States
Johanna Fleckenstein Germany
Bingjie Liu United States
T. Makana Chock United States
Kyle Richardson relative to Juliane M. Stopfer Germany Juliane M. Stopfer's profile →
Citations per field
00.5×3.8×
Juliane M. Stopfer · 1×
Citations per year

Countries citing papers authored by Kyle Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Richardson, 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 Kyle Richardson Line = papers co-authored together Kyle Richardson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 201840
3 202039
4 201439
5 201634
6 201729
7 201828
8 201525
9 202125
10 202022
11 202222
12 201822
13 201522
14 201921
15 201721
16 201919
17 201818
18 201917
19 201917
20 201817

About Kyle Richardson

Kyle Richardson is a scholar working on Clinical Psychology, Artificial Intelligence, Social Psychology, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 75 papers that have together received 862 indexed citations. Recurring topics across this work include Personality Traits and Psychology (32 papers), Natural Language Processing Techniques (23 papers), Topic Modeling (21 papers), Social and Intergroup Psychology (15 papers), Evolutionary Psychology and Human Behavior (10 papers), Personality Disorders and Psychopathology (8 papers), Multimodal Machine Learning Applications (7 papers) and Emotional Intelligence and Performance (6 papers). The work is most often cited by research in Clinical Psychology (356 citations), Social Psychology (299 citations), Applied Psychology (50 citations), Experimental and Cognitive Psychology (130 citations) and Artificial Intelligence (248 citations). Kyle Richardson has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include William Hart, Gregory K. Tortoriello, Christopher J. Breeden, Ashish Sabharwal, Thomas E. Ford, Hai Hu, Lawrence S. Moss, Alexa M. Tullett, John M. Adams and Tushar Khot. Their work appears in journals such as Personality and Individual Differences, Journal of Personality, British Journal of Psychology, Self and Identity and Journal of Interpersonal Violence.

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.

Explore authors with similar magnitude of impact