M. V. Johns
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Finance top 10%
- Co-authors
- Joseph L. GastwirthHerman ChernoffJohn Van RyzinG. J. LiebermanDouglas GuthrieRupert G. MillerRonald PykeCyrus Derman
- Topics
- Statistical Methods and Inference (5 papers)Advanced Statistical Methods and Models (4 papers)Advanced Statistical Process Monitoring (4 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
M. V. Johns
17 papers receiving 538 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 432
- Statistics, Probability and Uncertainty 195
- Artificial Intelligence 125
- Management Science and Operations Research 124
- Finance 73
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-authorship network of co-authors of M. V. Johns
This figure shows the co-authorship network connecting the top 25 collaborators of M. V. Johns. A scholar is included among the top collaborators of M. V. Johns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. V. Johns. M. V. Johns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 14 | |
| 3 | Feasible Objective Confidence Bounds for System Reliability | 1 |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 58 | |
| 7 | 31 | |
| 8 | Two-action compound decision problems | 16 |
| 9 | 220 | |
| 10 | 46 | |
| 11 | 18 | |
| 12 | 34 | |
| 13 | 20 | |
| 14 | AN EMPIRICAL BAYES APPROACH TO NON-PARAMETRIC TWO-WAY CLASSIFICATION, | 24 |
| 15 | 27 | |
| 16 | 47 | |
| 17 | 39 |
About M. V. Johns
M. V. Johns is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 17 papers that have together received 672 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Advanced Statistical Methods and Models (4 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (432 citations), Statistics, Probability and Uncertainty (195 citations) and Management Science and Operations Research (124 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 and Pacific Journal of Mathematics.
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.