Matthew G. Chin

830 total citations
49 papers, 518 citations indexed

About

Matthew G. Chin is a scholar working on Social Psychology, Cognitive Neuroscience and General Health Professions. According to data from OpenAlex, Matthew G. Chin has authored 49 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Social Psychology, 15 papers in Cognitive Neuroscience and 9 papers in General Health Professions. Recurrent topics in Matthew G. Chin's work include Social Robot Interaction and HRI (10 papers), Human-Animal Interaction Studies (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Matthew G. Chin is often cited by papers focused on Social Robot Interaction and HRI (10 papers), Human-Animal Interaction Studies (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Matthew G. Chin collaborates with scholars based in United States and Malaysia. Matthew G. Chin's co-authors include Valerie K. Sims, Jorge L. Mendoza, Emilio J. C. Lobato, Charles G. McClintock, Brian Fisak, Neal Finkelstein, Daniel Barber, Stella S. Yi, Anne M. Sinatra and Lan N. Ðoàn and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Social Psychology and Cancer Causes & Control.

In The Last Decade

Matthew G. Chin

46 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew G. Chin United States 11 222 206 124 75 60 49 518
Ana C. Leite United Kingdom 12 327 1.5× 145 0.7× 172 1.4× 50 0.7× 52 0.9× 23 578
Annelie J. Harvey United Kingdom 9 324 1.5× 120 0.6× 190 1.5× 60 0.8× 13 0.2× 19 453
Janis Zickfeld Norway 13 176 0.8× 285 1.4× 204 1.6× 19 0.3× 21 0.3× 32 636
Mariëtte Berndsen Australia 14 411 1.9× 311 1.5× 129 1.0× 13 0.2× 21 0.3× 29 789
Hedwig te Molder Netherlands 16 182 0.8× 107 0.5× 31 0.3× 37 0.5× 49 0.8× 69 954
Kate O’Riordan United Kingdom 11 306 1.4× 67 0.3× 25 0.2× 24 0.3× 45 0.8× 37 684
Andreas Hergovich Austria 17 112 0.5× 373 1.8× 111 0.9× 24 0.3× 135 2.3× 36 739
Jillian J.M. O’Connor Canada 17 245 1.1× 120 0.6× 185 1.5× 54 0.7× 8 0.1× 23 972
Manuel Bohn Germany 16 152 0.7× 174 0.8× 77 0.6× 39 0.5× 21 0.3× 38 657
Alicia Hofelich Mohr United States 10 74 0.3× 188 0.9× 122 1.0× 54 0.7× 13 0.2× 26 687

Countries citing papers authored by Matthew G. Chin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Chin, Matthew G., et al.. (2024). A Culturally Specific Community Supported Agriculture (CSA) Program to Improve Diet in Immigrant Communities in Brooklyn, New York. Health Promotion Practice. 26(2). 243–248. 4 indexed citations
3.
Chin, Matthew G. & Roberto Corizzo. (2024). Continual Semi-Supervised Malware Detection. SHILAP Revista de lepidopterología. 6(4). 2829–2854. 1 indexed citations
4.
Chebli, Perla, Lan N. Ðoàn, Matthew G. Chin, et al.. (2023). Identifying opportunities for collective action around community nutrition programming through participatory systems science. Cancer Causes & Control. 34(12). 1043–1058. 4 indexed citations
5.
Yi, Stella S., Lan N. Ðoàn, Jennifer A. Wong, et al.. (2021). With no data, there's no equity: addressing the lack of data on COVID-19 for asian american communities. EClinicalMedicine. 41. 101165–101165. 16 indexed citations
6.
Sinatra, Anne M., Valerie K. Sims, Maxine B. Najle, & Matthew G. Chin. (2011). An Examination of the Impact of Synthetic Speech on Unattended Recall in a Dichotic Listening Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 55(1). 1245–1249. 2 indexed citations
7.
Sims, Valerie K., et al.. (2010). Developmental Human Factors: Children's Mental Models of Computers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54(19). 1450–1453. 3 indexed citations
8.
Sims, Valerie K., et al.. (2009). Robots' Auditory Cues are Subject to Anthropomorphism. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53(18). 1418–1421. 16 indexed citations
9.
Sims, Valerie K., et al.. (2008). Go, Dog, Go: Maze Training AIBO vs. a Live Dog, An Exploratory Study. Anthrozoös. 21(1). 71–83. 13 indexed citations
10.
Sims, Valerie K., et al.. (2008). Robot Features are Examined as Artifacts, not as “Faces”. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 52(19). 1384–1388. 1 indexed citations
11.
Chin, Matthew G., et al.. (2008). Relating Low Perceived Control and Attitudes toward Animal Training: An Exploratory Study. Anthrozoös. 21(3). 257–269. 3 indexed citations
12.
Sims, Valerie K., et al.. (2007). Evidence for the Use of Minimal Anthropomorphic Features in Attributions for Automobiles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 51(18). 1101–1104. 1 indexed citations
13.
Sims, Valerie K., et al.. (2007). Don't Be Cruel: Assessing Beliefs About Punishments for Crimes Against Animals. Anthrozoös. 20(3). 251–259. 24 indexed citations
14.
Sims, Valerie K., et al.. (2006). Effects of Eye Structure and Color on Attributions for Intelligent Agents. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(17). 1849–1852. 3 indexed citations
15.
Barber, Daniel, et al.. (2006). Anthropomorphism of Textured “Faces”. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(17). 1932–1935. 1 indexed citations
16.
Chin, Matthew G., et al.. (2005). Developing and Anthropomorphic Tendencies Scale. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(13). 1266–1268. 23 indexed citations
17.
Chin, Matthew G., et al.. (2004). Achieving a New Standard in Primary Care for Low-Income Populations: Case Study 2: Advanced Access Learning. 3 indexed citations
18.
Chin, Matthew G., Brian Fisak, & Valerie K. Sims. (2002). Development of the Attitudes Toward Vegetarians Scale. Anthrozoös. 15(4). 332–342. 39 indexed citations
19.
Sims, Valerie K., et al.. (2001). Caregiver attributions are not just for children: Evidence for generalized low power schemas. Journal of Applied Developmental Psychology. 22(5). 527–541. 5 indexed citations
20.
Chin, Matthew G. & Charles G. McClintock. (1993). The effects of intergroup discrimination and social values on level of self‐esteem in the minimal group paradigm. European Journal of Social Psychology. 23(1). 63–75. 30 indexed citations

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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