Yonatan Aumann

3.3k total citations
82 papers, 1.5k citations indexed

About

Yonatan Aumann is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yonatan Aumann has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Management Science and Operations Research, 25 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Yonatan Aumann's work include Auction Theory and Applications (26 papers), Game Theory and Voting Systems (15 papers) and Algorithms and Data Compression (12 papers). Yonatan Aumann is often cited by papers focused on Auction Theory and Applications (26 papers), Game Theory and Voting Systems (15 papers) and Algorithms and Data Compression (12 papers). Yonatan Aumann collaborates with scholars based in Israel, United States and United Kingdom. Yonatan Aumann's co-authors include Yuval Rabani, Yehuda Lindell, Ronen Feldman, Sarit Kraus, Amihood Amir, M. O. Rabin, Zohar Yakhini, Doron Lipson, Michael A. Bender and Amir Ben‐Dor and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and Artificial Intelligence.

In The Last Decade

Yonatan Aumann

80 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonatan Aumann Israel 19 531 479 411 370 225 82 1.5k
Shuchi Chawla United States 25 740 1.4× 430 0.9× 654 1.6× 174 0.5× 981 4.4× 72 2.6k
Stephen Swift United Kingdom 19 411 0.8× 121 0.3× 200 0.5× 505 1.4× 79 0.4× 74 1.6k
Panayiotis Tsaparas Greece 24 1.3k 2.5× 194 0.4× 299 0.7× 932 2.5× 194 0.9× 63 2.5k
Luca de Alfaro United States 22 1.3k 2.4× 1.1k 2.2× 317 0.8× 707 1.9× 114 0.5× 80 2.5k
Wen−Lian Hsu Taiwan 23 532 1.0× 445 0.9× 207 0.5× 132 0.4× 53 0.2× 122 1.8k
Marek Sergot United Kingdom 22 1.5k 2.8× 211 0.4× 216 0.5× 318 0.9× 149 0.7× 74 2.0k
Robert W. Irving United Kingdom 24 427 0.8× 1.1k 2.3× 374 0.9× 86 0.2× 950 4.2× 52 2.5k
Yanghua Xiao China 23 1.3k 2.4× 107 0.2× 413 1.0× 445 1.2× 188 0.8× 168 2.1k
Sourav S. Bhowmick Singapore 25 1.0k 2.0× 172 0.4× 587 1.4× 757 2.0× 122 0.5× 224 2.4k
Yun Peng United States 22 1.5k 2.9× 184 0.4× 492 1.2× 759 2.1× 258 1.1× 93 2.2k

Countries citing papers authored by Yonatan Aumann

Since Specialization
Citations

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

Fields of papers citing papers by Yonatan Aumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonatan Aumann

This figure shows the co-authorship network connecting the top 25 collaborators of Yonatan Aumann. A scholar is included among the top collaborators of Yonatan Aumann 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 Yonatan Aumann. Yonatan Aumann 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.
Aumann, Yonatan, et al.. (2024). Contest partitioning in binary contests. Autonomous Agents and Multi-Agent Systems. 38(1).
2.
Sarne, David, et al.. (2023). Tractable Binary Contests. 12(1). 1–24. 1 indexed citations
3.
Segal-Halevi, Erel, Avinatan Hassidim, & Yonatan Aumann. (2016). A Random-Sampling Double-Auction Mechanism.. arXiv (Cornell University). 4 indexed citations
4.
Aumann, Yonatan, et al.. (2014). Efficiency and fairness in team search with self-interested agents. Adaptive Agents and Multi-Agents Systems. 30(3). 365–372. 8 indexed citations
5.
Aumann, Yonatan, et al.. (2014). Auctioning a cake: truthful auctions of heterogeneous divisible goods. Adaptive Agents and Multi-Agents Systems. 1045–1052. 1 indexed citations
6.
Aumann, Yonatan, et al.. (2013). Computing socially-efficient cake divisions. Adaptive Agents and Multi-Agents Systems. 343–350. 22 indexed citations
7.
Hazon, Noam, Yonatan Aumann, Sarit Kraus, & David Sarne. (2013). Physical search problems with probabilistic knowledge. Artificial Intelligence. 196. 26–52. 13 indexed citations
8.
Sarne, David & Yonatan Aumann. (2012). The benefits of search costs in multiagent exploration. Adaptive Agents and Multi-Agents Systems. 1293–1294. 1 indexed citations
9.
Aumann, Yonatan, et al.. (2010). Pareto efficiency and approximate pareto efficiency in routing and load balancing games. 66–77. 7 indexed citations
10.
Aumann, Yonatan, et al.. (2010). On agent types in coalition formation problems. Adaptive Agents and Multi-Agents Systems. 757–764. 20 indexed citations
11.
Hazon, Noam, Yonatan Aumann, & Sarit Kraus. (2009). Collaborative multi agent physical search with Probabilistic knowledge. International Joint Conference on Artificial Intelligence. 167–174. 15 indexed citations
12.
Aumann, Yonatan, et al.. (2009). Easy and hard coalition resource game formation problems: a parameterized complexity analysis. Adaptive Agents and Multi-Agents Systems. 433–440. 10 indexed citations
13.
Hazon, Noam, Yonatan Aumann, Sarit Kraus, & Michael Wooldridge. (2008). Evaluation of election outcomes under uncertainty. Adaptive Agents and Multi-Agents Systems. 959–966. 26 indexed citations
14.
Amir, Amihood, Yonatan Aumann, Gary Benson, et al.. (2006). Pattern matching with address errors: rearrangement distances. Symposium on Discrete Algorithms. 1221–1229. 15 indexed citations
15.
Aumann, Yonatan, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, & Zohar Yakhini. (2005). Dotted interval graphs and high throughput genotyping. Symposium on Discrete Algorithms. 339–348. 7 indexed citations
16.
Aumann, Yonatan, et al.. (1999). Cooperative sharing and asynchronous consensus using single-reader single-writer registers. Symposium on Discrete Algorithms. 61–70. 5 indexed citations
17.
Feldman, Ronen, et al.. (1998). Knowledge Management: A Text Mining Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 62 indexed citations
18.
Aumann, Yonatan & Yuval Rabani. (1995). Improved bounds for all optical routing. Symposium on Discrete Algorithms. 567–576. 67 indexed citations
19.
Aumann, Yonatan & Michael O. Rabin. (1994). Clock construction in fully asynchronous parallel systems and PRAM simulation. Theoretical Computer Science. 128(1-2). 3–30. 13 indexed citations
20.
Aumann, Yonatan & H. Parnas. (1991). Evaluation of the time course of neurotransmitter release from the measured PSC and MPSC. Bulletin of Mathematical Biology. 53(4). 537–555. 9 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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