H. Peyton Young

6.6k total citations · 3 hit papers
44 papers, 3.6k citations indexed

About

H. Peyton Young is a scholar working on Management Science and Operations Research, Economics and Econometrics and Safety Research. According to data from OpenAlex, H. Peyton Young has authored 44 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 13 papers in Economics and Econometrics and 10 papers in Safety Research. Recurrent topics in H. Peyton Young's work include Game Theory and Applications (26 papers), Experimental Behavioral Economics Studies (10 papers) and Auction Theory and Applications (8 papers). H. Peyton Young is often cited by papers focused on Game Theory and Applications (26 papers), Experimental Behavioral Economics Studies (10 papers) and Auction Theory and Applications (8 papers). H. Peyton Young collaborates with scholars based in United States, United Kingdom and Australia. H. Peyton Young's co-authors include Dean P. Foster, Jason R. Marden, Gabriel Kreindler, Gürdal Arslan, Jeff S. Shamma, Bary Pradelski, Lucy Y. Pao, Heinrich H. Nax, Itai Arieli and Stuart A. West and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Economic Review and The Quarterly Journal of Economics.

In The Last Decade

H. Peyton Young

44 papers receiving 3.4k citations

Hit Papers

The Evolution of Conventions 1993 2026 2004 2015 1993 2009 2015 400 800 1.2k
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.

  1. The Evolution of Conventions
    1993 1.4k citations H. Peyton Young Econometrica profile →
  2. Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning
    2009 423 citations H. Peyton Young profile →
  3. The Evolution of Social Norms
    2015 278 citations H. Peyton Young profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Peyton Young United States 22 1.9k 1.1k 1.0k 895 675 44 3.6k
William H. Sandholm United States 27 1.9k 1.0× 1.3k 1.1× 1.1k 1.0× 665 0.7× 442 0.7× 56 3.2k
Fernando Vega‐Redondo Spain 24 1.4k 0.7× 1.0k 0.9× 1.5k 1.4× 724 0.8× 1.1k 1.7× 87 3.6k
Lawrence E. Blume United States 31 1.8k 0.9× 1.2k 1.1× 3.6k 3.6× 1.1k 1.2× 505 0.7× 67 6.2k
George J. Mailath United States 27 2.9k 1.5× 1.2k 1.1× 2.9k 2.9× 1.5k 1.6× 310 0.5× 108 5.5k
Jörgen W. Weibull Sweden 29 1.4k 0.7× 1.8k 1.6× 1.9k 1.9× 1.3k 1.4× 427 0.6× 102 5.2k
Sanjeev Goyal United Kingdom 27 2.3k 1.2× 1.0k 0.9× 1.4k 1.4× 840 0.9× 1.6k 2.4× 77 4.4k
Michihiro Kandori Japan 12 1.7k 0.9× 1.1k 1.0× 1.3k 1.3× 1.1k 1.2× 306 0.5× 25 3.0k
John H. Miller United States 24 949 0.5× 1.4k 1.2× 1.2k 1.2× 1.6k 1.8× 282 0.4× 58 4.6k
H. Peyton Young United States 18 795 0.4× 734 0.6× 1.2k 1.2× 467 0.5× 255 0.4× 42 2.6k
Daniel Friedman United States 37 2.0k 1.0× 1.2k 1.0× 2.2k 2.2× 1.7k 1.9× 240 0.4× 122 6.9k

Countries citing papers authored by H. Peyton Young

Since Specialization
Citations

This map shows the geographic impact of H. Peyton Young'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 H. Peyton Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Peyton Young more than expected).

Fields of papers citing papers by H. Peyton Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Peyton Young. 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 H. Peyton Young. The network helps show where H. Peyton Young may publish in the future.

Co-authorship network of co-authors of H. Peyton Young

This figure shows the co-authorship network connecting the top 25 collaborators of H. Peyton Young. A scholar is included among the top collaborators of H. Peyton Young 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 H. Peyton Young. H. Peyton Young 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
1.
Gulesci, Selim, et al.. (2023). A Stepping Stone Approach to Norm Transitions. SSRN Electronic Journal. 1 indexed citations
2.
Gulesci, Selim, et al.. (2021). A Stepping Stone Approach to Understanding Harmful Norms. SSRN Electronic Journal. 7 indexed citations
3.
Young, H. Peyton & Shmuel Zamir. (2015). Handbook of game theory. North-Holland eBooks. 7 indexed citations
4.
Kreindler, Gabriel & H. Peyton Young. (2014). Rapid innovation diffusion in social networks. Proceedings of the National Academy of Sciences. 111(supplement_3). 10881–10888. 67 indexed citations
5.
Nax, Heinrich H., Bary Pradelski, & H. Peyton Young. (2013). Decentralized dynamics to optimal and stable states in the assignment game. Zurich Open Repository and Archive (University of Zurich). 2391–2397. 10 indexed citations
6.
Marden, Jason R., H. Peyton Young, & Lucy Y. Pao. (2012). Achieving pareto optimality through distributed learning. 29 indexed citations
7.
Foster, Dean P. & H. Peyton Young. (2010). Gaming Performance Fees By Portfolio Managers. The Quarterly Journal of Economics. 125(4). 1435–1458. 27 indexed citations
8.
Marden, Jason R., H. Peyton Young, Gürdal Arslan, & Jeff S. Shamma. (2009). Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games. SIAM Journal on Control and Optimization. 48(1). 373–396. 169 indexed citations
9.
Young, H. Peyton. (2009). Commentary: John Nash and evolutionary game theory. Games and Economic Behavior. 71(1). 12–13. 13 indexed citations
10.
Young, H. Peyton. (2007). The Possible and the Impossible in Multi-Agent Learning. SSRN Electronic Journal. 1 indexed citations
11.
Young, H. Peyton. (2006). Innovation Diffusion in Heterogeneous Populations. SSRN Electronic Journal. 10 indexed citations
12.
Foster, Dean P. & H. Peyton Young. (2006). Regret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an Opponent. Theoretical Economics. 1(3). 341–367. 92 indexed citations
13.
14.
Henrich, Joseph, Wulf Albers, Robert Boyd, et al.. (2001). What is the role of culture in bounded rationality. Max Planck Digital Library. 343–359. 20 indexed citations
15.
Foster, Dean P. & H. Peyton Young. (2001). On the impossibility of predicting the behavior of rational agents. Proceedings of the National Academy of Sciences. 98(22). 12848–12853. 53 indexed citations
16.
Kaniovski, Yuri M., A. V. Kryazhimskii, & H. Peyton Young. (2000). Adaptive Dynamics in Games Played by Heterogeneous Populations. Games and Economic Behavior. 31(1). 50–96. 11 indexed citations
17.
Young, H. Peyton. (1998). Individual learning and social rationality. European Economic Review. 42(3-5). 651–663. 15 indexed citations
18.
Young, H. Peyton. (1995). Dividing the Indivisible. American Behavioral Scientist. 38(6). 904–920. 25 indexed citations
19.
Young, H. Peyton. (1993). The Evolution of Conventions. Econometrica. 61(1). 57–57. 1393 indexed citations breakdown →
20.
Young, H. Peyton, Naoki Okada, & T. Hashimoto. (1981). Sharing Costs Fairly. A Practical Introduction to Cooperative Game Theory. IIASA PURE (International Institute of Applied Systems Analysis). 4 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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Breakdown of academic impact, for papers by William H. Sandholm Breakdown of academic impact, for papers by Fernando Vega‐Redondo Breakdown of academic impact, for papers by Lawrence E. Blume Breakdown of academic impact, for papers by George J. Mailath Breakdown of academic impact, for papers by Jörgen W. Weibull Breakdown of academic impact, for papers by Sanjeev Goyal Breakdown of academic impact, for papers by Michihiro Kandori Breakdown of academic impact, for papers by John H. Miller Breakdown of academic impact, for papers by H. Peyton Young Breakdown of academic impact, for papers by Daniel Friedman
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