Brian Chin

1.6k total citations
40 papers, 977 citations indexed

About

Brian Chin is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Social Psychology. According to data from OpenAlex, Brian Chin has authored 40 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 12 papers in Clinical Psychology and 11 papers in Social Psychology. Recurrent topics in Brian Chin's work include COVID-19 and Mental Health (9 papers), Psychological Well-being and Life Satisfaction (8 papers) and Sleep and related disorders (8 papers). Brian Chin is often cited by papers focused on COVID-19 and Mental Health (9 papers), Psychological Well-being and Life Satisfaction (8 papers) and Sleep and related disorders (8 papers). Brian Chin collaborates with scholars based in United States, Canada and United Kingdom. Brian Chin's co-authors include J. David Creswell, Emily K. Lindsay, Daniella K. Villalba, Kirk Warren Brown, Carol M. Greco, Joshua M. Smyth, Aidan G.C. Wright, Sheldon Cohen, Todd Millstein and Shinzen Young and has published in prestigious journals such as Journal of Personality and Social Psychology, PLoS ONE and Scientific Reports.

In The Last Decade

Brian Chin

37 papers receiving 944 citations

Peers

Brian Chin
Comparison fields: 5 of 111
  • Clinical Psychology 508
  • Experimental and Cognitive Psychology 245
  • Social Psychology 185
  • Artificial Intelligence 84
  • General Health Professions 83
Rie Tamagawa Canada
Jacob J. Crouse Australia
Tian Lin United States
Janine M. Dutcher United States
Tracy D. Gunter United States
Kounseok Lee South Korea
Thomas W. Pierce United States
Renato de Filippis Italy
Tomas Toft Denmark
Łukasz Okruszek Poland
Rie Tamagawa Canada View profile →
Citations per field, relative to Brian Chin
Brian Chin · 1×
Citations per year, relative to Brian Chin
Brian Chin · 1×

Countries citing papers authored by Brian Chin

Since Specialization
Citations

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

Fields of papers citing papers by Brian Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Chin. A scholar is included among the top collaborators of Brian Chin 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 Brian Chin. Brian Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 2
5 2
6 4
7 5
8 2
9 5
10 2
11 28
12 14
13 154
14 63
15 12
16 62
17 154
18 13
19 46
20
Inference of User-Defined Type Qualifiers and Qualifier Rules
2

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

Rankless by CCL
2026