M. V. Johns
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
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- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Methods and Inference 6
- Advanced Statistical Methods and Models 5
- Statistical Distribution Estimation and Applications 3
- Statistical Methods and Bayesian Inference 2
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- Advanced Statistical Process Monitoring 5
- Probabilistic and Robust Engineering Design 2
- Co-authors
- Joseph L. Gastwirth (1 shared paper)Herman Chernoff (1 shared paper)John Van Ryzin (2 shared papers)G. J. Lieberman (3 shared papers)Douglas Guthrie (1 shared paper)Rupert G. Miller (1 shared paper)Ronald Pyke (1 shared paper)Cyrus Derman (1 shared paper)
- Journals
- Journal of the American Statistical Association (4 papers)Technometrics (2 papers)Pacific Journal of Mathematics (1 paper)The Annals of Mathematical Statistics (6 papers)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
M. V. Johns
18 papers receiving 591 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 487
- Statistics, Probability and Uncertainty 221
- Management Science and Operations Research 131
- Finance 81
- Artificial Intelligence 144
Countries citing papers authored by M. V. Johns
This map shows the geographic impact of M. V. Johns'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 M. V. Johns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. V. Johns more than expected).
Fields of papers citing papers by M. V. Johns
This network shows the impact of papers produced by M. V. Johns. 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 M. V. Johns. The network helps show where M. V. Johns may publish in the future.
Co-authors
The 8 scholars most cited alongside M. V. Johns, 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 | 1967 | 242 | |
| 2 | 1988 | 74 | |
| 3 | 1972 | 61 | |
| 4 | 1966 | 53 | |
| 5 | 1959 | 50 | |
| 6 | 1957 | 42 | |
| 7 | 1963 | 37 | |
| 8 | 1971 | 33 | |
| 9 | AN EMPIRICAL BAYES APPROACH TO NON-PARAMETRIC TWO-WAY CLASSIFICATION, | 1959 | 28 |
| 10 | 1959 | 27 | |
| 11 | 1959 | 20 | |
| 12 | 1966 | 19 | |
| 13 | Two-action compound decision problems | 1967 | 18 |
| 14 | 1988 | 18 | |
| 15 | 1974 | 14 | |
| 16 | 1979 | 12 | |
| 17 | 1974 | 3 | |
| 18 | Feasible Objective Confidence Bounds for System Reliability | 1981 | 2 |
About M. V. Johns
M. V. Johns is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 18 papers that have together received 753 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (3 papers), Reliability and Maintenance Optimization (3 papers), Bayesian Methods and Mixture Models (3 papers), Probabilistic and Robust Engineering Design (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (487 citations), Statistics, Probability and Uncertainty (221 citations), Management Science and Operations Research (131 citations), Finance (81 citations) and Artificial Intelligence (144 citations). M. V. Johns has collaborated with scholars based in United States. Frequent co-authors include Joseph L. Gastwirth, Herman Chernoff, John Van Ryzin, G. J. Lieberman, Douglas Guthrie, Rupert G. Miller, Ronald Pyke and Cyrus Derman. Their work appears in journals such as Journal of the American Statistical Association, Technometrics, Pacific Journal of Mathematics, The Annals of Mathematical Statistics and Elsevier eBooks.
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.