Kyle Richardson

2.6k citations
79 papers · 929 · h-index 19

Impact in

Papers in

Kyle Richardson

77 papers receiving 887 citations

Peers

Kyle Richardson
Comparison fields: 5 of 67
  • Clinical Psychology 376
  • Social Psychology 317
  • Applied Psychology 54
  • Experimental and Cognitive Psychology 141
  • Artificial Intelligence 270
Replace Juliane M. Stopfer with:
Juliane M. Stopfer Germany
Jonathan E. Ramsay Singapore
Lesa A. Stern United States
Han Lin Singapore
Hyisung C. Hwang United States
Leesa Dillman United States
Janet Walker United States
Jordan Carpenter United States
André Melzer Luxembourg
Veli‐Matti Karhulahti Finland
Kyle Richardson relative to Juliane M. Stopfer Germany Juliane M. Stopfer's profile →
Citations per field
00.5×2×3×3.6×
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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202061
2 201443
3 202041
4 201840
5 201637
6 201733
7 201532
8 201829
9 201525
10 202125
11 201824
12 202023
13 202223
14 201922
15 201722
16 201819
17 201919
18 202018
19 201818
20 201917

About Kyle Richardson

Kyle Richardson is a scholar working on Clinical Psychology, Social Psychology, Artificial Intelligence, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 79 papers that have together received 929 indexed citations. Recurring topics across this work include Personality Traits and Psychology (33 papers), Natural Language Processing Techniques (24 papers), Topic Modeling (22 papers), Social and Intergroup Psychology (17 papers), Evolutionary Psychology and Human Behavior (11 papers), Personality Disorders and Psychopathology (9 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 (376 citations), Social Psychology (317 citations), Applied Psychology (54 citations), Experimental and Cognitive Psychology (141 citations) and Artificial Intelligence (270 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, Thomas E. Ford, Ashish Sabharwal, 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, Self and Identity, Journal of Interpersonal Violence, Humor - International Journal of Humor Research and Journal of Personality.

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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