Joan Feigenbaum

12.7k citations
136 papers · 5.6k · 2 hit papers · h-index 33

Impact in

Papers in

Joan Feigenbaum

128 papers receiving 5.2k citations

Joan Feigenbaum's Hit Papers

Algorithmic Game Theory 2007 · 1.4k citations
1.4k0+8+16Years since publication4008001.2k

Peers

Joan Feigenbaum
Comparison fields: 5 of 120
  • Management Science and Operations Research 1.5k
  • Computer Networks and Communications 2.3k
  • Artificial Intelligence 2.3k
  • Computational Theory and Mathematics 819
  • Information Systems 1.0k
Replace Vahab Mirrokni with:
Vahab Mirrokni United States
Xiaotie Deng China
Kunal Talwar United States
Michael P. Wellman United States
Yevgeniy Dodis United States
Ravi Kumar United States
Robert Kleinberg United States
Vijay V. Vazirani United States
Carles Sierra Spain
Toby Walsh Australia
Joan Feigenbaum relative to Vahab Mirrokni United States Vahab Mirrokni's profile →
Citations per field
00.5×1.5×
Vahab Mirrokni · 1×
Citations per year

Countries citing papers authored by Joan Feigenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Joan Feigenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Feigenbaum. 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 Joan Feigenbaum. The network helps show where Joan Feigenbaum may publish in the future.

Co-authors

The 25 scholars most cited alongside Joan Feigenbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joan Feigenbaum Line = papers co-authored together Joan Feigenbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithmic Game Theory
Hit paper breakdown →
20071441
2
Decentralized trust management
Hit paper breakdown →
2002566
3 2001257
4 2003230
5 2002229
6 2008208
7 2005181
8 2002135
9 2005120
10 1989100
11 200285
12 199384
13 200270
14 198467
15 199066
16 200565
17 200865
18 200155
19 200252
20 199747

About Joan Feigenbaum

Joan Feigenbaum is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 136 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cryptography and Data Security (36 papers), Complexity and Algorithms in Graphs (32 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Auction Theory and Applications (19 papers), Optimization and Search Problems (16 papers), Privacy-Preserving Technologies in Data (16 papers), Game Theory and Applications (11 papers) and Access Control and Trust (10 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Computer Networks and Communications (2.3k citations), Artificial Intelligence (2.3k citations), Computational Theory and Mathematics (819 citations) and Information Systems (1.0k citations). Joan Feigenbaum has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Scott Shenker, Christos H. Papadimitriou, Matt Blaze, Jack Lacy, Rahul Sami, Ninghui Li, Benjamin N. Grosof, Sampath Kannan, David C. Parkes and Noam Nisan. Their work appears in journals such as Theoretical Computer Science, SIAM Journal on Computing, Communications of the ACM, Quantitative Finance and Distributed Computing.

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.

Explore authors with similar magnitude of impact