Nir Ailon
Impact in
- Computational Mathematics top 2%
- Signal Processing top 2%
- Data Management and Algorithms
Papers in ⓘ
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- Machine Learning and Algorithms 16
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- Optimization and Search Problems 12
- Co-authors
- Bernard Chazelle (9 shared papers)Moses Charikar (4 shared papers)Alantha Newman (2 shared papers)Edo Liberty (5 shared papers)Ragesh Jaiswal (3 shared papers)Claire Monteleoni (1 shared paper)Mehryar Mohri (2 shared papers)C. Seshadhri (4 shared papers)
- Journals
- Discrete & Computational Geometry (3 papers)SIAM Journal on Computing (3 papers)Journal of Machine Learning Research (3 papers)Algorithmica (2 papers)Theoretical Computer Science (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nir Ailon
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Computational Mathematics 44
- Signal Processing 308
- Artificial Intelligence 831
- Computational Theory and Mathematics 379
- Management Science and Operations Research 243
Countries citing papers authored by Nir Ailon
This map shows the geographic impact of Nir Ailon'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 Nir Ailon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Ailon more than expected).
Fields of papers citing papers by Nir Ailon
This network shows the impact of papers produced by Nir Ailon. 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 Nir Ailon. The network helps show where Nir Ailon may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Ailon, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 311 | |
| 2 | 2009 | 232 | |
| 3 | 2006 | 199 | |
| 4 | 2008 | 104 | |
| 5 | 2005 | 103 | |
| 6 | Streaming k-means approximation | 2009 | 88 |
| 7 | 2008 | 70 | |
| 8 | 2010 | 44 | |
| 9 | 2010 | 42 | |
| 10 | 2013 | 39 | |
| 11 | 2007 | 35 | |
| 12 | 2013 | 30 | |
| 13 | Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity | 2011 | 27 |
| 14 | 2007 | 26 | |
| 15 | 2005 | 24 | |
| 16 | 2007 | 20 | |
| 17 | 2011 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2004 | 15 | |
| 20 | 2010 | 13 |
About Nir Ailon
Nir Ailon is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research and Computational Mechanics, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (16 papers), Optimization and Search Problems (12 papers), Complexity and Algorithms in Graphs (12 papers), Sparse and Compressive Sensing Techniques (8 papers), Data Management and Algorithms (5 papers), Advanced Bandit Algorithms Research (5 papers), Game Theory and Voting Systems (5 papers) and Auction Theory and Applications (4 papers). The work is most often cited by research in Computational Mathematics (44 citations), Signal Processing (308 citations), Artificial Intelligence (831 citations), Computational Theory and Mathematics (379 citations) and Management Science and Operations Research (243 citations). Nir Ailon has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Bernard Chazelle, Moses Charikar, Alantha Newman, Edo Liberty, Ragesh Jaiswal, Claire Monteleoni, Mehryar Mohri, C. Seshadhri, Zohar Karnin and Ding Liu. Their work appears in journals such as Discrete & Computational Geometry, SIAM Journal on Computing, Journal of Machine Learning Research, Algorithmica and Theoretical 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.