Yaron Singer

61 papers receiving 1.9k citations

Yaron Singer's Hit Papers

A Stochastic Quasi-Newton Method for Large-Scale Optimization 2016 · 241 citations
2410+3+6Years since publication50100150200

Peers

Yaron Singer
Comparison fields: 5 of 121
  • Computer Science Applications 410
  • Management Science and Operations Research 795
  • Statistical and Nonlinear Physics 313
  • Artificial Intelligence 786
  • Computer Networks and Communications 484
Replace Constantinos Daskalakis with:
Constantinos Daskalakis United States
Satyen Kale United States
Paul Fischer Germany
Martin Zinkevich United States
Mikhail Bilenko United States
Asela Gunawardana United States
Rómer Rosales United States
Ofer Dekel United States
Jun Ma China
Christopher Meek United States
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Citations per year

Countries citing papers authored by Yaron Singer

Since Specialization
Citations

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

Fields of papers citing papers by Yaron Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yaron Singer, 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 Yaron Singer Line = papers co-authored together Yaron Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Stochastic Quasi-Newton Method for Large-Scale Optimization
Hit paper breakdown →
2016241
2
Proceedings of the 20th International Conference on Neural Information Processing Systems
2007223
3 2010219
4 2013196
5 200896
6
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
202090
7 201285
8 201383
9 201269
10 199442
11 201842
12 201141
13 201036
14 201936
15 201534
16 201533
17
Pricing tasks in online labor markets
201126
18
Learnability of influence in networks
201525
19 201024
20 201520

About Yaron Singer

Yaron Singer is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Auction Theory and Applications (18 papers), Complexity and Algorithms in Graphs (14 papers), Optimization and Search Problems (12 papers), Machine Learning and Algorithms (12 papers), Complex Network Analysis Techniques (9 papers), Game Theory and Voting Systems (8 papers), Consumer Market Behavior and Pricing (7 papers) and Game Theory and Applications (6 papers). The work is most often cited by research in Computer Science Applications (410 citations), Management Science and Operations Research (795 citations), Statistical and Nonlinear Physics (313 citations), Artificial Intelligence (786 citations) and Computer Networks and Communications (484 citations). Yaron Singer has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Eric Balkanski, Samantha Hansen, Jorge Nocedal, Richard H. Byrd, Sam T. Roweis, John Platt, Daphne Koller, Michael Schapira, Lior Seeman and Aviad Rubinstein. Their work appears in journals such as Biological Cybernetics, Journal of the ACM, Sensors, IEEE/ACM Transactions on Networking and Operations Research.

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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