Ron Kohavi
Impact in
- Artificial Intelligence top 0.05%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Information Systems top 0.05%
- Data Mining Algorithms and Applications
Papers in
-
- Machine Learning and Data Classification 11
- Algorithms and Data Compression 8
- Machine Learning and Algorithms 8
- Imbalanced Data Classification Techniques 6
-
- Data Mining Algorithms and Applications 23
- Co-authors
- George H. John (2 shared papers)Foster Provost (4 shared papers)Dan Sommerfield (7 shared papers)Tom Fawcett (1 shared paper)Roger Longbotham (7 shared papers)David H. Wolpert (1 shared paper)Llew Mason (5 shared papers)Zijian Zheng (5 shared papers)
- Journals
- Machine Learning (5 papers)Data Mining and Knowledge Discovery (3 papers)Computer (2 papers)Trials (1 paper)The American Statistician (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Ron Kohavi
65 papers receiving 20.2k citations
Ron Kohavi's Hit Papers
Peers
Comparison fields: 5 of 229
- Artificial Intelligence 9.5k
- Information Systems 4.2k
- Computer Vision and Pattern Recognition 3.6k
- Signal Processing 1.8k
- Software 489
Countries citing papers authored by Ron Kohavi
This map shows the geographic impact of Ron Kohavi'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 Ron Kohavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Kohavi more than expected).
Fields of papers citing papers by Ron Kohavi
This network shows the impact of papers produced by Ron Kohavi. 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 Ron Kohavi. The network helps show where Ron Kohavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ron Kohavi, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection Hit paper breakdown → | 1995 | 7804 |
| 2 | Wrappers for feature subset selection Hit paper breakdown → | 1997 | 6202 |
| 3 | An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants Hit paper breakdown → | 1999 | 1757 |
| 4 | Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybrid Hit paper breakdown → | 1996 | 834 |
| 5 | The Case against Accuracy Estimation for Comparing Induction Algorithms Hit paper breakdown → | 1998 | 716 |
| 6 | Bias plus variance decomposition for zero-one loss functions | 1996 | 387 |
| 7 | 2008 | 380 | |
| 8 | 2001 | 309 | |
| 9 | 1998 | 264 | |
| 10 | 2007 | 230 | |
| 11 | 2002 | 193 | |
| 12 | 2013 | 190 | |
| 13 | 1995 | 179 | |
| 14 | 2000 | 173 | |
| 15 | Error-based and entropy-based discretization of continuous features | 1996 | 168 |
| 16 | Data Mining Using MLC a Machine Learning Library in C | 1997 | 167 |
| 17 | Wrappers for Performance Enhancements and Oblivious Decision Graphs. | 1995 | 163 |
| 18 | 2012 | 122 | |
| 19 | 2020 | 106 | |
| 20 | 2014 | 99 |
About Ron Kohavi
Ron Kohavi is a scholar working on Artificial Intelligence, Information Systems, Statistics and Probability, Computational Theory and Mathematics and Computer Networks and Communications, having authored 66 papers that have together received 21.9k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Statistical Methods in Clinical Trials (12 papers), Machine Learning and Data Classification (11 papers), Algorithms and Data Compression (8 papers), Machine Learning and Algorithms (8 papers), Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Artificial Intelligence (9.5k citations), Information Systems (4.2k citations), Computer Vision and Pattern Recognition (3.6k citations), Signal Processing (1.8k citations) and Software (489 citations). Ron Kohavi has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include George H. John, Foster Provost, Dan Sommerfield, Tom Fawcett, Roger Longbotham, David H. Wolpert, Llew Mason, Zijian Zheng, Ya Xu and Alex Deng. Their work appears in journals such as Machine Learning, Data Mining and Knowledge Discovery, Computer, Trials and The American Statistician.
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.