Ofer Dekel
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Algorithms
- Topic Modeling
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Stochastic Gradient Optimization Techniques
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- Advanced Bandit Algorithms Research
Papers in
-
- Machine Learning and Algorithms 30
- Text and Document Classification Technologies 9
- Imbalanced Data Classification Techniques 7
- Machine Learning and Data Classification 7
- Algorithms and Data Compression 4
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- Advanced Bandit Algorithms Research 18
- Co-authors
- Yoram Singer (17 shared papers)Shai Shalev‐Shwartz (7 shared papers)Joseph Keshet (4 shared papers)Ohad Shamir (10 shared papers)Koby Crammer (2 shared papers)Lin Xiao (4 shared papers)Ran Gilad-Bachrach (2 shared papers)Christopher D. Manning (1 shared paper)
- Journals
- Journal of Machine Learning Research (3 papers)Machine Learning (1 paper)SIAM Journal on Computing (1 paper)Journal of Computer and System Sciences (1 paper)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Ofer Dekel
44 papers receiving 2.9k citations
Ofer Dekel's Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 2.5k
- Management Science and Operations Research 634
- Computer Science Applications 198
- Computer Vision and Pattern Recognition 675
- Signal Processing 256
Countries citing papers authored by Ofer Dekel
This map shows the geographic impact of Ofer Dekel'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 Ofer Dekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ofer Dekel more than expected).
Fields of papers citing papers by Ofer Dekel
This network shows the impact of papers produced by Ofer Dekel. 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 Ofer Dekel. The network helps show where Ofer Dekel may publish in the future.
Co-authors
The 25 scholars most cited alongside Ofer Dekel, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Online Passive-Aggressive Algorithms Hit paper breakdown → | 2006 | 1126 |
| 2 | 2010 | 325 | |
| 3 | 2004 | 172 | |
| 4 | 2008 | 129 | |
| 5 | Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. | 2010 | 127 |
| 6 | Log-Linear Models for Label Ranking | 2003 | 125 |
| 7 | Vox Populi: Collecting High-Quality Labels from a Crowd | 2009 | 106 |
| 8 | 2009 | 86 | |
| 9 | 2010 | 72 | |
| 10 | 2009 | 71 | |
| 11 | Online Passive-Aggressive Algorithms | 2003 | 65 |
| 12 | The Forgetron: A Kernel-Based Perceptron on a Fixed Budget | 2005 | 64 |
| 13 | 2006 | 54 | |
| 14 | Selective sampling and active learning from single and multiple teachers | 2012 | 51 |
| 15 | 2007 | 48 | |
| 16 | 2012 | 46 | |
| 17 | Multiclass-Multilabel Classification with More Classes than Examples. | 2010 | 42 |
| 18 | 2005 | 41 | |
| 19 | Optimal Distributed Online Prediction | 2011 | 41 |
| 20 | 2008 | 40 |
About Ofer Dekel
Ofer Dekel is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (30 papers), Advanced Bandit Algorithms Research (18 papers), Optimization and Search Problems (9 papers), Text and Document Classification Technologies (9 papers), Imbalanced Data Classification Techniques (7 papers), Machine Learning and Data Classification (7 papers), Algorithms and Data Compression (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Management Science and Operations Research (634 citations), Computer Science Applications (198 citations), Computer Vision and Pattern Recognition (675 citations) and Signal Processing (256 citations). Ofer Dekel has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Yoram Singer, Shai Shalev‐Shwartz, Joseph Keshet, Ohad Shamir, Koby Crammer, Lin Xiao, Ran Gilad-Bachrach, Christopher D. Manning, Alekh Agarwal and Philip M. Long. Their work appears in journals such as Journal of Machine Learning Research, Machine Learning, SIAM Journal on Computing, Journal of Computer and System Sciences and IEEE Transactions on Information Theory.
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.