Peter S. Park

605 total citations · 3 hit papers
8 papers, 190 citations indexed

About

Peter S. Park is a scholar working on Sociology and Political Science, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Peter S. Park has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Peter S. Park's work include Misinformation and Its Impacts (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Language and cultural evolution (1 paper). Peter S. Park is often cited by papers focused on Misinformation and Its Impacts (2 papers), Evolutionary Game Theory and Cooperation (2 papers) and Language and cultural evolution (1 paper). Peter S. Park collaborates with scholars based in United States, United Kingdom and Australia. Peter S. Park's co-authors include Philipp Schoenegger, Dan Hendrycks, Simon Goldstein, Michael Chen, Martin A. Nowak, Christian Hilbe, Jeremy Bernstein, Bruce Schneier, Arun Vishwanath and Philip E. Tetlock and has published in prestigious journals such as Nature Communications, Science Advances and IEEE Access.

In The Last Decade

Peter S. Park

7 papers receiving 183 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI deception: A survey of examples, risks, and potential solutions

2024 51 citations Peter S. Park, Simon Goldstein et al. Patterns profile →
Perils and opportunities in using large language models in psychological research

2024 37 citations Mohammad Atari, Farzan Karimi-Malekabadi et al. PNAS Nexus profile →
Diminished diversity-of-thought in a standard large language model

2024 35 citations Peter S. Park, Philipp Schoenegger et al. Behavior Research Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter S. Park United States	7	69	53	33	26	17	8	190
Jonathan Stray United States	6	78 1.1×	88 1.7×	49 1.5×	24 0.9×	11 0.6×	11	251
Yuling Gu United States	4	93 1.3×	41 0.8×	20 0.6×	11 0.4×	12 0.7×	12	215
Ilia Sucholutsky Canada	8	103 1.5×	33 0.6×	13 0.4×	15 0.6×	17 1.0×	16	219
Claudia Müller-Birn Germany	9	79 1.1×	35 0.7×	33 1.0×	56 2.2×	14 0.8×	45	231
Nan‐Chen Chen United States	7	139 2.0×	34 0.6×	50 1.5×	41 1.6×	11 0.6×	11	280
Kevin R. McKee United Kingdom	9	70 1.0×	65 1.2×	71 2.2×	8 0.3×	12 0.7×	16	191
Kaitlyn Zhou United States	9	127 1.8×	100 1.9×	16 0.5×	34 1.3×	9 0.5×	12	244
Simone Conia Italy	10	270 3.9×	18 0.3×	21 0.6×	14 0.5×	19 1.1×	25	352
Omaima Almatrafi United States	7	134 1.9×	22 0.4×	20 0.6×	69 2.7×	12 0.7×	15	337

Countries citing papers authored by Peter S. Park

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter S. Park

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Schoenegger, Philipp, Peter S. Park, Ezra Karger, Sean Trott, & Philip E. Tetlock. (2024). AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy. ACM Transactions on Interactive Intelligent Systems. 15(1). 1–25. 6 indexed citations

2.

Schneier, Bruce, et al.. (2024). Devising and Detecting Phishing Emails Using Large Language Models. IEEE Access. 12. 42131–42146. 25 indexed citations

3.

Atari, Mohammad, et al.. (2024). Perils and opportunities in using large language models in psychological research. PNAS Nexus. 3(7). pgae245–pgae245. 37 indexed citations breakdown →

4.

Schoenegger, Philipp, et al.. (2024). Wisdom of the silicon crowd: LLM ensemble prediction capabilities rival human crowd accuracy. Science Advances. 10(45). eadp1528–eadp1528. 13 indexed citations

5.

Park, Peter S., et al.. (2024). Diminished diversity-of-thought in a standard large language model. Behavior Research Methods. 56(6). 5754–5770. 35 indexed citations breakdown →

6.

Park, Peter S., et al.. (2024). AI deception: A survey of examples, risks, and potential solutions. Patterns. 5(5). 100988–100988. 51 indexed citations breakdown →

7.

Park, Peter S., Martin A. Nowak, & Christian Hilbe. (2022). Cooperation in alternating interactions with memory constraints. Nature Communications. 13(1). 737–737. 23 indexed citations

8.

Park, Peter S.. (2022). The evolution of cognitive biases in human learning. Journal of Theoretical Biology. 541. 111031–111031.

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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