Nir Ailon
Impact in
- Computational Theory and Mathematics top 0.5%
- Complexity and Algorithms in Graphs
- Computational Mathematics top 5%
Papers in
-
- Complexity and Algorithms in Graphs 28
-
- Stochastic Gradient Optimization Techniques 7
- Advanced Clustering Algorithms Research 6
- Algorithms and Data Compression 5
- Co-authors
- Elad Hoffer (1 shared paper)Bernard Chazelle (12 shared papers)Moses Charikar (4 shared papers)Alantha Newman (2 shared papers)Edo Liberty (9 shared papers)Ragesh Jaiswal (4 shared papers)Claire Monteleoni (1 shared paper)Comandur Seshadhri (6 shared papers)
- Journals
- SIAM Journal on Computing (3 papers)Theoretical Computer Science (3 papers)Discrete & Computational Geometry (3 papers)Information and Computation (2 papers)Journal of Machine Learning Research (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nir Ailon
51 papers receiving 3.4k citations
Nir Ailon's Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 728
- Computational Mathematics 24
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 897
- Signal Processing 160
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Metric Learning Using Triplet Network Hit paper breakdown → | 2015 | 1458 |
| 2 | Aggregating inconsistent information Hit paper breakdown → | 2008 | 425 |
| 3 | 2009 | 288 | |
| 4 | 2006 | 239 | |
| 5 | 2005 | 136 | |
| 6 | 2008 | 134 | |
| 7 | Streaming k-means approximation | 2009 | 99 |
| 8 | 2008 | 94 | |
| 9 | 2010 | 56 | |
| 10 | 2013 | 55 | |
| 11 | 2013 | 43 | |
| 12 | 2005 | 42 | |
| 13 | 2007 | 40 | |
| 14 | 2012 | 31 | |
| 15 | 2007 | 30 | |
| 16 | 2008 | 29 | |
| 17 | Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity | 2011 | 28 |
| 18 | 2005 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2004 | 22 |
About Nir Ailon
Nir Ailon is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computational Mechanics, Applied Mathematics and Information Systems, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (28 papers), Sparse and Compressive Sensing Techniques (9 papers), Stochastic Gradient Optimization Techniques (7 papers), Advanced Clustering Algorithms Research (6 papers), Mathematical Analysis and Transform Methods (6 papers), Information Retrieval and Search Behavior (6 papers), Algorithms and Data Compression (5 papers) and Advanced Bandit Algorithms Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (728 citations), Computational Mathematics (24 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (897 citations) and Signal Processing (160 citations). Nir Ailon has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Elad Hoffer, Bernard Chazelle, Moses Charikar, Alantha Newman, Edo Liberty, Ragesh Jaiswal, Claire Monteleoni, Comandur Seshadhri, Ding Liu and Amit Singer. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science, Discrete & Computational Geometry, Information and Computation and Journal of Machine Learning 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.