Ran El‐Yaniv
- Computer Networks and Communications top 0.5%
- Optimization and Search Problems 14
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- Auction Theory and Applications 10
- Advanced Bandit Algorithms Research 8
- Artificial Intelligence top 1%
- Machine Learning and Algorithms 20
- Machine Learning and Data Classification 13
- Algorithms and Data Compression 10
- Neural Networks and Applications 7
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- Face and Expression Recognition 8
- Co-authors
- Allan BorodinRon BekkermanNaftali TishbyYoad WinterRichard M. KarpZiv Bar‐JosephYoram BaramDani Lischinski
- Cited by
- Computer Networks and CommunicationsManagement Science and Operations ResearchComputer Graphics and Computer-Aided Design
- Journals
- Journal of Machine Learning Research (7 papers)Journal of Artificial Intelligence Research (4 papers)Machine Learning (3 papers)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ran El‐Yaniv
65 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Networks and Communications 1.4k
- Management Science and Operations Research 680
- Computer Graphics and Computer-Aided Design 133
- Artificial Intelligence 1.1k
- Industrial and Manufacturing Engineering 342
Countries citing papers authored by Ran El‐Yaniv
This map shows the geographic impact of Ran El‐Yaniv'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 Ran El‐Yaniv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran El‐Yaniv more than expected).
Fields of papers citing papers by Ran El‐Yaniv
This network shows the impact of papers produced by Ran El‐Yaniv. 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 Ran El‐Yaniv. The network helps show where Ran El‐Yaniv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ran El‐Yaniv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs | 2020 | 0 |
| 2 | Deep Active Learning with a Neural Architecture Search | 2019 | 7 |
| 3 | Deep Anomaly Detection Using Geometric Transformations | 2018 | 62 |
| 4 | Selective Classification for Deep Neural Networks | 2017 | 33 |
| 5 | A compression technique for analyzing disagreement-based active learning | 2015 | 4 |
| 6 | Concept Drift Detection Through Resampling | 2014 | 50 |
| 7 | Pointwise Tracking the Optimal Regression Function | 2012 | 4 |
| 8 | Active learning via perfect selective classification | 2012 | 12 |
| 9 | Agnostic Selective Classification | 2011 | 16 |
| 10 | On the Foundations of Noise-free Selective Classification | 2010 | 94 |
| 11 | Error Bounds for Transductive Learning via Compression and Clustering | 2003 | 6 |
| 12 | Online Choice of Active Learning Algorithms | 2003 | 142 |
| 13 | Distributional word clusters vs. words for text categorization | 2003 | 186 |
| 14 | Variance Optimized Bagging | 2002 | 2 |
| 15 | Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation | 2001 | 6 |
| 16 | Smooth Online Learning of Expert Advice | 2001 | 0 |
| 17 | Localized Boosting | 2000 | 17 |
| 18 | Granular Synthesis of Sound Textures Using Statistical Learning | 1999 | 9 |
| 19 | 1997 | 16 | |
| 20 | Agnostic Classification of Markovian Sequences | 1997 | 30 |
About Ran El‐Yaniv
Ran El‐Yaniv is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 69 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (20 papers), Optimization and Search Problems (14 papers), Machine Learning and Data Classification (13 papers), Auction Theory and Applications (10 papers), Algorithms and Data Compression (10 papers), Face and Expression Recognition (8 papers), Advanced Bandit Algorithms Research (8 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Management Science and Operations Research (680 citations), Computer Graphics and Computer-Aided Design (133 citations), Artificial Intelligence (1.1k citations) and Industrial and Manufacturing Engineering (342 citations). Ran El‐Yaniv has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Allan Borodin, Ron Bekkerman, Naftali Tishby, Yoad Winter, Richard M. Karp, Ziv Bar‐Joseph, Yoram Baram, Dani Lischinski, Michael Werman and Amos Fiat. Their work appears in journals such as Journal of Machine Learning Research, Journal of Artificial Intelligence Research, Machine Learning, Pattern Recognition Letters and Algorithmica.
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.