Jay L. Devore
Impact in
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- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
- Statistics and Probability top 2%
Papers in
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- Statistics Education and Methodologies 6
- Markov Chains and Monte Carlo Methods 1
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- Imbalanced Data Classification Techniques 2
- Bayesian Modeling and Causal Inference 2
- Co-authors
- A. Goldman (1 shared paper)Roxy Peck (3 shared papers)Stephen B. Vardeman (1 shared paper)Eric R. Ziegel (1 shared paper)Graham Clarke (1 shared paper)Kenneth N. Berk (2 shared papers)Chris Olsen (2 shared papers)Matthew A. Carlton (3 shared papers)
- Journals
- The American Statistician (8 papers)Journal of the American Statistical Association (5 papers)Technometrics (3 papers)Biometrics (2 papers)Journal of Applied Probability (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jay L. Devore
34 papers receiving 4.0k citations
Jay L. Devore's Hit Papers
Peers
Comparison fields: 5 of 216
- Statistics, Probability and Uncertainty 254
- Statistics and Probability 213
- Software 82
- Management Science and Operations Research 225
- Environmental Engineering 236
Countries citing papers authored by Jay L. Devore
This map shows the geographic impact of Jay L. Devore'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 Jay L. Devore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay L. Devore more than expected).
Fields of papers citing papers by Jay L. Devore
This network shows the impact of papers produced by Jay L. Devore. 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 Jay L. Devore. The network helps show where Jay L. Devore may publish in the future.
Co-authors
The 10 scholars most cited alongside Jay L. Devore, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Probability and Statistics for Engineering and the Sciences. Hit paper breakdown → | 1991 | 1883 |
| 2 | Statistics: The Exploration and Analysis of Data Hit paper breakdown → | 1988 | 480 |
| 3 | Probability and Statistics for Engineering and the Sciences Hit paper breakdown → | 1988 | 452 |
| 4 | 1982 | 314 | |
| 5 | 1992 | 218 | |
| 6 | 1983 | 172 | |
| 7 | 2002 | 144 | |
| 8 | 2011 | 140 | |
| 9 | 2006 | 124 | |
| 10 | 2006 | 120 | |
| 11 | Introduction to Statistics and Data Analysis | 2000 | 118 |
| 12 | 2007 | 52 | |
| 13 | Probability and Statistics for Engineering and the Sciences, Eighth Edition | 1987 | 34 |
| 14 | Probabilidad y Estadistica para Ingenieria y Ciencias | 2012 | 29 |
| 15 | 2021 | 24 | |
| 16 | 2017 | 17 | |
| 17 | 1976 | 16 | |
| 18 | 1977 | 15 | |
| 19 | 1974 | 15 | |
| 20 | 2014 | 12 |
About Jay L. Devore
Jay L. Devore is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Condensed Matter Physics, having authored 35 papers that have together received 4.4k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (6 papers), Blind Source Separation Techniques (3 papers), Fault Detection and Control Systems (3 papers), Imbalanced Data Classification Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers), Wireless Communication Security Techniques (1 paper), Theoretical and Computational Physics (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (254 citations), Statistics and Probability (213 citations), Software (82 citations), Management Science and Operations Research (225 citations) and Environmental Engineering (236 citations). Jay L. Devore has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include A. Goldman, Roxy Peck, Stephen B. Vardeman, Eric R. Ziegel, Graham Clarke, Kenneth N. Berk, Chris Olsen, Matthew A. Carlton, Jay R. Campbell and B. J. N. Blight. Their work appears in journals such as The American Statistician, Journal of the American Statistical Association, Technometrics, Biometrics and Journal of Applied Probability.
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.