John McCoy
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Psychology of Moral and Emotional Judgment 2
- Co-authors
- Dražen Prelec (2 shared papers)H. Sebastian Seung (1 shared paper)Karen Skalla (1 shared paper)Tomer Ullman (4 shared papers)Barbara A. Mellers (3 shared papers)Philip E. Tetlock (1 shared paper)Rahul Radhakrishnan (1 shared paper)M J Liao (1 shared paper)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal for the Scientific Study of Religion (1 paper)Cognition (1 paper)Nature (1 paper)Perspectives on Psychological Science (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
John McCoy
12 papers receiving 253 citations
Peers
Comparison fields: 5 of 85
- General Decision Sciences 40
- Computer Science Applications 38
- Management Science and Operations Research 71
- Health 24
- Health Informatics 4
Countries citing papers authored by John McCoy
This map shows the geographic impact of John McCoy'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 John McCoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McCoy more than expected).
Fields of papers citing papers by John McCoy
This network shows the impact of papers produced by John McCoy. 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 John McCoy. The network helps show where John McCoy may publish in the future.
Co-authors
The 25 scholars most cited alongside John McCoy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 176 | |
| 2 | 2006 | 26 | |
| 3 | 1983 | 11 | |
| 4 | 2019 | 10 | |
| 5 | 2023 | 8 | |
| 6 | 1971 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2018 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2017 | 2 | |
| 12 | People's perception of others' risk preferences. | 2019 | 1 |
| 13 | 2021 | 1 |
About John McCoy
John McCoy is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition and General Decision Sciences, having authored 13 papers that have together received 260 indexed citations. Recurring topics across this work include Data Visualization and Analytics (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Decision-Making and Behavioral Economics (2 papers), Behavioral Health and Interventions (1 paper), Trypanosoma species research and implications (1 paper), Paranormal Experiences and Beliefs (1 paper), Emotions and Moral Behavior (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in General Decision Sciences (40 citations), Computer Science Applications (38 citations), Management Science and Operations Research (71 citations), Health (24 citations) and Health Informatics (4 citations). John McCoy has collaborated with scholars based in United States and India. Frequent co-authors include Dražen Prelec, H. Sebastian Seung, Karen Skalla, Tomer Ullman, Barbara A. Mellers, Philip E. Tetlock, Rahul Radhakrishnan, M J Liao, Satoshi Noguchi and Kin-Ming Lo. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Journal for the Scientific Study of Religion, Cognition, Nature and Perspectives on Psychological Science.
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.