Ron Kohavi
- Artificial Intelligence top 0.05%
- Machine Learning and Data Classification 11
- Machine Learning and Algorithms 8
- Algorithms and Data Compression 8
- Imbalanced Data Classification Techniques 6
- Information Systems top 0.05%
- Data Mining Algorithms and Applications 23
- Signal Processing top 0.2%
- Software top 1%
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- Statistical Methods in Clinical Trials 13
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- Rough Sets and Fuzzy Logic 5
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- Advanced Database Systems and Queries 5
Ron Kohavi
65 papers receiving 20.0k citations
Hit Papers
Peers
Comparison fields: 5 of 229
- Artificial Intelligence 9.6k
- Information Systems 4.2k
- Computer Vision and Pattern Recognition 3.6k
- Signal Processing 1.8k
- Software 483
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 13 | |
| 2 | Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004 | 2004 | 18 |
| 3 | WEBKDD 2001 -- mining web log data across all customers touch points : Third International Workshop, San Francisco, CA, USA, August 26, 2001 : revised papers | 2002 | 2 |
| 4 | Visualizing the simple Baysian classifier | 2001 | 4 |
| 5 | 2000 | 3 | |
| 6 | Targeting business users with decision table classifiers | 1998 | 33 |
| 7 | The Case against Accuracy Estimation for Comparing Induction Algorithmsbreakdown → | 1998 | 715 |
| 8 | Option Decision Trees with Majority Votes | 1997 | 57 |
| 9 | Data Mining Using MLC a Machine Learning Library in C | 1997 | 167 |
| 10 | Improving Simple Bayes | 1997 | 46 |
| 11 | 1997 | 58 | |
| 12 | Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybridbreakdown → | 1996 | 826 |
| 13 | Bias plus variance decomposition for zero-one loss functions | 1996 | 386 |
| 14 | Error-based and entropy-based discretization of continuous features | 1996 | 169 |
| 15 | A study of cross-validation and bootstrap for accuracy estimation and model selectionbreakdown → | 1995 | 7770 |
| 16 | Oblivious decision trees graphs and top down pruning | 1995 | 47 |
| 17 | 1995 | 178 | |
| 18 | Bottom-up induction of oblivious read-once decision graphs: strengths and limitations | 1994 | 25 |
| 19 | Useful Feature Subsets and Rough Set Reducts | 1994 | 22 |
| 20 | Feature Subset Selection as Search with Probabilistic Estimates | 1994 | 36 |
About Ron Kohavi
Ron Kohavi is a scholar working on Statistics and Probability, Information Systems and Artificial Intelligence, having authored 66 papers that have together received 21.8k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Statistical Methods in Clinical Trials (13 papers), Machine Learning and Data Classification (11 papers), Machine Learning and Algorithms (8 papers), Algorithms and Data Compression (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 (9.6k citations), Information Systems (4.2k citations) and Computer Vision and Pattern Recognition (3.6k 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, The American Statistician and Artificial Intelligence.
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.