Lloyd S. Shapley

97 papers receiving 11.8k citations

Hit Papers

Potential Games19512026197620011996196219531971197150010001.5k2.0k

Peers

Lloyd S. Shapley
Comparison fields: 5 of 184
  • Economics and Econometrics 7.3k
  • Management Science and Operations Research 6.6k
  • Computer Networks and Communications 1.8k
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 1.2k
Replace Robert J. Aumann with:
Robert J. Aumann Israel
Harry M. Markowitz United States
Martín Shubik United States
John C. Harsanyi United States
Morris H. DeGroot United States
Martin J. Osborne United Kingdom
D. Gale United States
Gérard Debreu United States
Ehud Kalai United States
Hervé Moulin United States
Lloyd S. Shapley relative to Robert J. Aumann Israel Robert J. Aumann's profile →
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Citations per year

Countries citing papers authored by Lloyd S. Shapley

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd S. Shapley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lloyd S. Shapley. 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 Lloyd S. Shapley. The network helps show where Lloyd S. Shapley may publish in the future.

Co-authorship network of co-authors of Lloyd S. Shapley

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd S. Shapley. A scholar is included among the top collaborators of Lloyd S. Shapley 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 Lloyd S. Shapley. Lloyd S. Shapley 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
#WorkIndexed citations
1
Potential Gamesbreakdown →
2385
2
Stochastic games and related topics : in honor of Professor L.S. Shapley
5
3 33
4 50
5 11
6 4
7
Game Theory in Economics: Chapter 6, Characteristic Function, Core, and Stable Set
16
8
Game Theory in Economics
18
9
The Assignment Game
31
10
On the Core of Economic Systems with Externalities
3
11 88
12 191
13 94
14
THE CORE OF AN ECONOMY WITH NONCONVEX PREFERENCES
6
15 1
16 1
17
Values of Large Games, I
25
18
Values of Large Games, IV: Evaluating the Electoral College by Montecarlo Techniques
45
19 1
20 7

About Lloyd S. Shapley

Lloyd S. Shapley is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Decision Sciences, having authored 99 papers that have together received 12.7k indexed citations. Recurring topics across this work include Game Theory and Applications (42 papers), Economic theories and models (40 papers) and Game Theory and Voting Systems (33 papers). The work is most often cited by research in Management Science and Operations Research (6.6k citations), Economics and Econometrics (7.3k citations) and General Decision Sciences (363 citations). Lloyd S. Shapley has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Dov Monderer, Martín Shubik, D. Gale, Herbert E. Scarf, Pradeep Dubey, Michael Maschler, Bezalel Peleg, Robert J. Aumann, Bernard Grofman and Norman Shapiro. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Economic Review and Econometrica.

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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