Jack Moshman
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 10%
Papers in
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- Computational Physics and Python Applications 1
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- Kruppel-like factors research 1
- Co-authors
- P. K. Tien (1 shared paper)Arthur C. Upton (2 shared papers)Jacob Fürth (2 shared papers)K. W. Christenberry (1 shared paper)Harry M. Markowitz (1 shared paper)Alan S. Manne (1 shared paper)Paul Zador (1 shared paper)Mary Esther Gaulden (1 shared paper)
- Journals
- Mathematics of Computation (3 papers)Science (2 papers)Journal of the ACM (2 papers)Journal of the American Statistical Association (2 papers)Accident Analysis & Prevention (1 paper)
- Partner nations
- United States
In The Last Decade
Jack Moshman
14 papers receiving 355 citations
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 106
- Statistics and Probability 40
- Control and Systems Engineering 105
- Safety, Risk, Reliability and Quality 34
- Numerical Analysis 19
Countries citing papers authored by Jack Moshman
This map shows the geographic impact of Jack Moshman'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 Jack Moshman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Moshman more than expected).
Fields of papers citing papers by Jack Moshman
This network shows the impact of papers produced by Jack Moshman. 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 Jack Moshman. The network helps show where Jack Moshman may publish in the future.
Co-authors
The 9 scholars most cited alongside Jack Moshman, 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 | 1962 | 163 | |
| 2 | 1954 | 66 | |
| 3 | 1964 | 37 | |
| 4 | 1956 | 36 | |
| 5 | 1982 | 29 | |
| 6 | 1958 | 27 | |
| 7 | 1953 | 25 | |
| 8 | 1954 | 24 | |
| 9 | 1966 | 19 | |
| 10 | 1953 | 11 | |
| 11 | 1954 | 8 | |
| 12 | 1958 | 7 | |
| 13 | On the specificity of hypervolaemia and congestive changes in tumor-bearing mice. | 1951 | 5 |
| 14 | 1951 | 3 | |
| 15 | 1951 | 2 | |
| 16 | 1953 | 1 |
About Jack Moshman
Jack Moshman is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Statistics and Probability and Computer Networks and Communications, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Kruppel-like factors research (1 paper), Dermatologic Treatments and Research (1 paper), Superconducting and THz Device Technology (1 paper), Computational Physics and Python Applications (1 paper), Craniofacial Disorders and Treatments (1 paper), Virus-based gene therapy research (1 paper), Skin Protection and Aging (1 paper) and Hair Growth and Disorders (1 paper). The work is most often cited by research in Management Science and Operations Research (106 citations), Statistics and Probability (40 citations), Control and Systems Engineering (105 citations), Safety, Risk, Reliability and Quality (34 citations) and Numerical Analysis (19 citations). Jack Moshman has collaborated with scholars based in United States. Frequent co-authors include P. K. Tien, Arthur C. Upton, Jacob Fürth, K. W. Christenberry, Harry M. Markowitz, Alan S. Manne, Paul Zador, Mary Esther Gaulden and J. Fürth. Their work appears in journals such as Mathematics of Computation, Science, Journal of the ACM, Journal of the American Statistical Association and Accident Analysis & Prevention.
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.