M. Tribus
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- Advanced Thermodynamics and Statistical Mechanics 1
- Statistics and Probability top 5%
- Artificial Intelligence top 10%
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- Complex Systems and Decision Making 1
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- Spacecraft and Cryogenic Technologies 1
- Nuclear Engineering Thermal-Hydraulics 1
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- Heat Transfer and Boiling Studies 1
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- Fluid Dynamics and Turbulent Flows 1
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- Quantum Mechanics and Applications 1
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- Advanced Combustion Engine Technologies 1
M. Tribus
9 papers receiving 775 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 325
- Statistics, Probability and Uncertainty 53
- Statistics and Probability 53
- Artificial Intelligence 149
- Management Science and Operations Research 53
Countries citing papers authored by M. Tribus
This map shows the geographic impact of M. Tribus'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. Tribus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Tribus more than expected).
Fields of papers citing papers by M. Tribus
This network shows the impact of papers produced by M. Tribus. 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. Tribus. The network helps show where M. Tribus may publish in the future.
Co-authorship network
The 6 scholars most cited alongside M. Tribus, 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 | 1989 | 3 | |
| 2 | WHAT CAN PRIVATE FLEETS LEARN FROM THE "JAPANESE MANAGEMENT STYLE? | 1988 | 1 |
| 3 | 1986 | 3 | |
| 4 | A theoretical comparison of the Rankine and Kalina cycles. | 1985 | 59 |
| 5 | Thermodynamic properties of water-ammonia mixtures theoretical implementation for use in power cycles analysis. | 1985 | 31 |
| 6 | 1980 | 181 | |
| 7 | The Maximum Entropy Formalismbreakdown → | 1979 | 509 |
| 8 | 1979 | 5 | |
| 9 | 1957 | 54 | |
| 10 | 1957 | 4 |
About M. Tribus
M. Tribus is a scholar working on Fluid Flow and Transfer Processes, Management Science and Operations Research, Catalysis, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 10 papers that have together received 850 indexed citations. Recurring topics across this work include Spacecraft and Cryogenic Technologies (1 paper), Complex Systems and Decision Making (1 paper), Heat Transfer and Boiling Studies (1 paper), Fluid Dynamics and Turbulent Flows (1 paper), Quantum Mechanics and Applications (1 paper), Nuclear Engineering Thermal-Hydraulics (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Advanced Combustion Engine Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (325 citations), Statistics, Probability and Uncertainty (53 citations), Statistics and Probability (53 citations), Artificial Intelligence (149 citations) and Management Science and Operations Research (53 citations). M. Tribus has collaborated with scholars based in United States. Frequent co-authors include R. D. Levine, Peter E. Jupp, José M. Bernardo, R. D. Levine, Y. M. El-Sayed and C. A. Sleicher. Their work appears in journals such as Proceedings of the IEEE, Journal of Non-Equilibrium Thermodynamics, Biometrics, Journal of the Royal Statistical Society Series A (General) and Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences.
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.