Peter S. Park
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Misinformation and Its Impacts 2
- Evolutionary Game Theory and Cooperation 2
- Media Influence and Politics 1
- Co-authors
- Philipp Schoenegger (3 shared papers)Michael Chen (1 shared paper)Dan Hendrycks (1 shared paper)Simon Goldstein (1 shared paper)Martin A. Nowak (1 shared paper)Christian Hilbe (1 shared paper)Arun Vishwanath (1 shared paper)Bruce Schneier (1 shared paper)
- Journals
- Behavior Research Methods (1 paper)IEEE Access (1 paper)Patterns (1 paper)International Journal of Number Theory (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Peter S. Park
7 papers receiving 243 citations
Peter S. Park's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 14
- Safety Research 42
- General Social Sciences 13
- General Decision Sciences 5
- Artificial Intelligence 82
Countries citing papers authored by Peter S. Park
This map shows the geographic impact of Peter S. Park'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 Peter S. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter S. Park more than expected).
Fields of papers citing papers by Peter S. Park
This network shows the impact of papers produced by Peter S. Park. 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 Peter S. Park. The network helps show where Peter S. Park may publish in the future.
Co-authors
The 21 scholars most cited alongside Peter S. Park, 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 | AI deception: A survey of examples, risks, and potential solutions Hit paper breakdown → | 2024 | 74 |
| 2 | Perils and opportunities in using large language models in psychological research Hit paper breakdown → | 2024 | 46 |
| 3 | Diminished diversity-of-thought in a standard large language model Hit paper breakdown → | 2024 | 40 |
| 4 | 2024 | 36 | |
| 5 | 2022 | 29 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 10 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2016 | 0 | |
| 12 | 2020 | 0 |
About Peter S. Park
Peter S. Park is a scholar working on Sociology and Political Science, Artificial Intelligence, Discrete Mathematics and Combinatorics, Social Psychology and Signal Processing, having authored 12 papers that have together received 252 indexed citations. Recurring topics across this work include Child and Animal Learning Development (2 papers), Misinformation and Its Impacts (2 papers), Cultural Differences and Values (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Mental Health via Writing (1 paper), Language and cultural evolution (1 paper), Media Influence and Politics (1 paper) and Analytic Number Theory Research (1 paper). The work is most often cited by research in Health Informatics (14 citations), Safety Research (42 citations), General Social Sciences (13 citations), General Decision Sciences (5 citations) and Artificial Intelligence (82 citations). Peter S. Park has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Philipp Schoenegger, Michael Chen, Dan Hendrycks, Simon Goldstein, Martin A. Nowak, Christian Hilbe, Arun Vishwanath, Bruce Schneier, Jeremy Bernstein and Farzan Karimi-Malekabadi. Their work appears in journals such as Behavior Research Methods, IEEE Access, Patterns, International Journal of Number Theory and Journal of Theoretical Biology.
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.