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.
A General Theory of Equilibrium Selection in Games
19881.3k citationsJohn C. Harsanyi, Reinhard SeltenRePEc: Research Papers in Economicsprofile →
Cardinal Welfare, Individualistic Ethics, and Interpersonal Comparisons of Utility
19551.3k citationsJohn C. HarsanyiJournal of Political Economyprofile →
Games with Incomplete Information Played by “Bayesian” Players, I–III Part I. The Basic Model
19671.3k citationsJohn C. HarsanyiManagement Scienceprofile →
Games with Incomplete Information Played by “Bayesian” Players, I–III: Part I. The Basic Model
2004901 citationsJohn C. HarsanyiManagement Scienceprofile →
A General Theory of Equilibrium Selection in Games.
1989805 citationsJohn C. Harsanyi, Reinhard Selten et al.profile →
Rational Behaviour and Bargaining Equilibrium in Games and Social Situations
1977724 citationsJohn C. HarsanyiCambridge University Press eBooksprofile →
Games with Incomplete Information Played by ‘Bayesian’ Players, Part III. The Basic Probability Distribution of the Game
1968641 citationsJohn C. HarsanyiManagement Scienceprofile →
Games with Incomplete Information Played by “Bayesian” Players Part II. Bayesian Equilibrium Points
1968581 citationsJohn C. HarsanyiManagement Scienceprofile →
Games with randomly disturbed payoffs: A new rationale for mixed-strategy equilibrium points
1973558 citationsJohn C. HarsanyiInternational Journal of Game Theoryprofile →
A General Theory of Equilibrium Selection in Games.
1989388 citationsJohn C. Harsanyi, Reinhard Selten et al.profile →
Cardinal Utility in Welfare Economics and in the Theory of Risk-taking
1953384 citationsJohn C. HarsanyiJournal of Political Economyprofile →
A Generalized Nash Solution for Two-Person Bargaining Games with Incomplete Information
1972351 citationsJohn C. Harsanyi, Reinhard SeltenManagement Scienceprofile →
Countries citing papers authored by John C. Harsanyi
Since
Specialization
Citations
This map shows the geographic impact of John C. Harsanyi'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 C. Harsanyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Harsanyi more than expected).
Fields of papers citing papers by John C. Harsanyi
This network shows the impact of papers produced by John C. Harsanyi. 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 C. Harsanyi. The network helps show where John C. Harsanyi may publish in the future.
Co-authorship network of co-authors of John C. Harsanyi
This figure shows the co-authorship network connecting the top 25 collaborators of John C. Harsanyi.
A scholar is included among the top collaborators of John C. Harsanyi 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 John C. Harsanyi. John C. Harsanyi 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
#
Work
Indexed citations
1
Games with incomplete information: Nobel Memorial Lecture
2012·El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT)·John C. Harsanyi
Determining the number and identity of spectral endmembers; an integrated approach using Neyman-Person eigen-thresholding and iterative constrained RMS error minimization
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.