Or Sheffet
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 9
- Cryptography and Data Security 7
- Machine Learning and Algorithms 4
- Stochastic Gradient Optimization Techniques 3
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- Auction Theory and Applications 5
- Game Theory and Applications 4
- Co-authors
- Avrim L. Blum (9 shared papers)Jeremiah Blocki (4 shared papers)Pranjal Awasthi (8 shared papers)Anupam Datta (2 shared papers)Ariel D. Procaccia (4 shared papers)Tyler Lu (2 shared papers)Ioannis Caragiannis (2 shared papers)Craig E. Boutilier (2 shared papers)
- Journals
- ACM Transactions on Economics and Computation (1 paper)Computational Complexity (1 paper)Artificial Intelligence (1 paper)Combinatorics Probability Computing (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Or Sheffet
28 papers receiving 685 citations
Peers
Comparison fields: 5 of 65
- Management Science and Operations Research 209
- Computer Science Applications 65
- Artificial Intelligence 386
- Computational Theory and Mathematics 152
- Economics and Econometrics 186
Countries citing papers authored by Or Sheffet
This map shows the geographic impact of Or Sheffet'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 Or Sheffet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Or Sheffet more than expected).
Fields of papers citing papers by Or Sheffet
This network shows the impact of papers produced by Or Sheffet. 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 Or Sheffet. The network helps show where Or Sheffet may publish in the future.
Co-authors
The 25 scholars most cited alongside Or Sheffet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 127 | |
| 2 | 2015 | 107 | |
| 3 | 2012 | 89 | |
| 4 | 2012 | 78 | |
| 5 | 2011 | 60 | |
| 6 | 2010 | 46 | |
| 7 | 2012 | 42 | |
| 8 | 2012 | 34 | |
| 9 | 2008 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2013 | 18 | |
| 12 | 2013 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2007 | 7 | |
| 16 | 2010 | 5 | |
| 17 | 2007 | 5 | |
| 18 | 2020 | 4 | |
| 19 | Predicting Consumer Behavior in Commerce Search. | 2012 | 4 |
| 20 | Old Techniques in Differentially Private Linear Regression. | 2019 | 4 |
About Or Sheffet
Or Sheffet is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 29 papers that have together received 715 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Cryptography and Data Security (7 papers), Complexity and Algorithms in Graphs (7 papers), Auction Theory and Applications (5 papers), Game Theory and Voting Systems (4 papers), Game Theory and Applications (4 papers), Machine Learning and Algorithms (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (209 citations), Computer Science Applications (65 citations), Artificial Intelligence (386 citations), Computational Theory and Mathematics (152 citations) and Economics and Econometrics (186 citations). Or Sheffet has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Avrim L. Blum, Jeremiah Blocki, Pranjal Awasthi, Anupam Datta, Ariel D. Procaccia, Tyler Lu, Ioannis Caragiannis, Craig E. Boutilier, Simi Haber and Peter Bro Miltersen. Their work appears in journals such as ACM Transactions on Economics and Computation, Computational Complexity, Artificial Intelligence, Combinatorics Probability Computing and Lecture notes in computer science.
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.