John Van Ryzin
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 0.1%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- Bayesian Methods and Mixture Models
Papers in
-
- Statistical Methods and Inference 32
- Statistical Methods and Bayesian Inference 16
- Statistical Distribution Estimation and Applications 9
- Advanced Statistical Methods and Models 8
- Statistical Methods in Clinical Trials 5
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- Bayesian Methods and Mixture Models 20
- Co-authors
- Richard A. Olshen (1 shared paper)Jerome H. Friedman (1 shared paper)Leo Breiman (1 shared paper)Charles J. Stone (1 shared paper)V. Susarla (16 shared papers)Hira L. Koul (1 shared paper)Robert F. Ling (1 shared paper)Min-Chiang Wang (2 shared papers)
- Journals
- The Annals of Statistics (9 papers)Journal of the American Statistical Association (9 papers)Journal of Statistical Planning and Inference (4 papers)Biometrics (4 papers)Biometrika (3 papers)
- Partner nations
- United StatesCanadaMexico
In The Last Decade
John Van Ryzin
67 papers receiving 16.2k citations
John Van Ryzin's Hit Papers
Peers
Comparison fields: 5 of 233
- Statistics and Probability 2.1k
- Artificial Intelligence 5.7k
- Information Systems 2.3k
- Ecological Modeling 436
- Signal Processing 1.0k
Countries citing papers authored by John Van Ryzin
This map shows the geographic impact of John Van Ryzin'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 John Van Ryzin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Van Ryzin more than expected).
Fields of papers citing papers by John Van Ryzin
This network shows the impact of papers produced by John Van Ryzin. 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 John Van Ryzin. The network helps show where John Van Ryzin may publish in the future.
Co-authors
The 25 scholars most cited alongside John Van Ryzin, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification and Regression Trees. Hit paper breakdown → | 1986 | 15930 |
| 2 | 1981 | 350 | |
| 3 | 1979 | 163 | |
| 4 | 1981 | 147 | |
| 5 | 1980 | 139 | |
| 6 | 1976 | 120 | |
| 7 | 1981 | 105 | |
| 8 | 1969 | 78 | |
| 9 | 1985 | 65 | |
| 10 | 1972 | 58 | |
| 11 | 1980 | 53 | |
| 12 | 1984 | 46 | |
| 13 | 1986 | 45 | |
| 14 | 1973 | 45 | |
| 15 | 1981 | 35 | |
| 16 | 1976 | 34 | |
| 17 | 1966 | 33 | |
| 18 | 1978 | 33 | |
| 19 | 1978 | 32 | |
| 20 | 1971 | 31 |
About John Van Ryzin
John Van Ryzin is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 70 papers that have together received 17.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (32 papers), Bayesian Methods and Mixture Models (20 papers), Statistical Methods and Bayesian Inference (16 papers), Statistical Distribution Estimation and Applications (9 papers), Advanced Statistical Methods and Models (8 papers), Carcinogens and Genotoxicity Assessment (6 papers), Advanced Statistical Process Monitoring (5 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Artificial Intelligence (5.7k citations), Information Systems (2.3k citations), Ecological Modeling (436 citations) and Signal Processing (1.0k citations). John Van Ryzin has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Richard A. Olshen, Jerome H. Friedman, Leo Breiman, Charles J. Stone, V. Susarla, Hira L. Koul, Robert F. Ling, Min-Chiang Wang, J. A. Hartigan and M. V. Johns. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Journal of Statistical Planning and Inference, Biometrics and Biometrika.
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.