Matthew G. Chin
- Sociology and Political Science top 10%
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Genetics
- Co-authors
- Valerie K. SimsJorge L. MendozaEmilio J. C. LobatoCharles G. McClintockBrian FisakNeal FinkelsteinAnne M. SinatraDaniel Barber
- Topics
- Social Robot Interaction and HRI (10 papers)Human-Animal Interaction Studies (7 papers)Psychology of Moral and Emotional Judgment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Social PsychologyCancer Causes & Control
- Partner nations
- United StatesMalaysia
In The Last Decade
Matthew G. Chin
46 papers receiving 483 citations
Peers
Comparison fields: 5 of 88
- Sociology and Political Science 222
- Social Psychology 206
- Cognitive Neuroscience 124
- Artificial Intelligence 75
- Genetics 60
Countries citing papers authored by Matthew G. Chin
This map shows the geographic impact of Matthew G. 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 Matthew G. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew G. Chin more than expected).
Fields of papers citing papers by Matthew G. Chin
This network shows the impact of papers produced by Matthew G. 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 Matthew G. Chin. The network helps show where Matthew G. Chin may publish in the future.
Co-authorship network of co-authors of Matthew G. Chin
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Chin. A scholar is included among the top collaborators of Matthew G. 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 Matthew G. Chin. Matthew G. Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Natural Speech Toward Humans and Intelligent Agents During a Simulated Search and Rescue Mission | 0 |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | Achieving a New Standard in Primary Care for Low-Income Populations: Case Study 2: Advanced Access Learning | 3 |
| 20 | 30 |
About Matthew G. Chin
Matthew G. Chin is a scholar working on Social Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 49 papers that have together received 518 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (10 papers), Human-Animal Interaction Studies (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). The work is most often cited by research in Social Psychology (206 citations), General Decision Sciences (12 citations) and Cognitive Neuroscience (124 citations). Matthew G. Chin has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Valerie K. Sims, Jorge L. Mendoza, Emilio J. C. Lobato, Charles G. McClintock, Brian Fisak, Neal Finkelstein, Anne M. Sinatra, Daniel Barber, Stella S. Yi and Simona C. Kwon. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Social Psychology and Cancer Causes & Control.
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.