Patricia Chen

21 papers receiving 374 citations

Peers

Patricia Chen
Comparison fields: 5 of 78
  • Applied Psychology 36
  • Computer Science Applications 36
  • Social Psychology 124
  • Experimental and Cognitive Psychology 77
  • Organizational Behavior and Human Resource Management 58
Replace Maureen A. Conard with:
Maureen A. Conard United States
Paul Redford United Kingdom
Nicholas Sorensen United States
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April McGrath Canada
Jinhee Choi United States
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Citations per field
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Citations per year

Countries citing papers authored by Patricia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201843
3 201539
4 201939
5 201538
6 202032
7 202031
8 201829
9 202123
10 201111
11 202210
12 20217
13 20226
14 20214
15 20214
16 20242
17 20232
18 20231
19 20231
20 20251

About Patricia Chen

Patricia Chen is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Sociology and Political Science, Clinical Psychology and Education, having authored 24 papers that have together received 396 indexed citations. Recurring topics across this work include Education, Achievement, and Giftedness (5 papers), Motivation and Self-Concept in Sports (4 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Social and Intergroup Psychology (4 papers), Cultural Differences and Values (4 papers), Online and Blended Learning (2 papers), Behavioral Health and Interventions (2 papers) and Creativity in Education and Neuroscience (2 papers). The work is most often cited by research in Applied Psychology (36 citations), Computer Science Applications (36 citations), Social Psychology (124 citations), Experimental and Cognitive Psychology (77 citations) and Organizational Behavior and Human Resource Management (58 citations). Patricia Chen has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Desmond C. Ong, Stephen M. Garcia, Mary E. Gallagher, Kimberlee Weaver, Norbert Schwarz, Phoebe C. Ellsworth, Sandy Lim, Jamil Zaki, Christina Chwyl and Timothy A. McKay. Their work appears in journals such as Personality and Social Psychology Bulletin, npj Science of Learning, Psychological Science, Social Psychological and Personality Science and Proceedings of the National Academy of Sciences.

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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