J. M. Deutch
- Materials Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 1%
- Biomedical Engineering top 2%
- Statistical and Nonlinear Physics top 0.5%
- Molecular Biology top 10%
- Co-authors
- B. U. FelderhofGeorge M. WhitesidesPaul MeakinDaniel F. CalefG. NienhuisIrwin OppenheimMathai MammenEugene I. Shakhnovich
- Topics
- Material Dynamics and Properties (37 papers)Advanced Thermodynamics and Statistical Mechanics (33 papers)Spectroscopy and Quantum Chemical Studies (24 papers)
- Cited by
- Fluid Flow and Transfer ProcessesPhysical and Theoretical ChemistryStatistical and Nonlinear Physics
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
J. M. Deutch
173 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 170
- Materials Chemistry 2.0k
- Atomic and Molecular Physics, and Optics 1.9k
- Biomedical Engineering 1.3k
- Statistical and Nonlinear Physics 1.1k
- Molecular Biology 889
Countries citing papers authored by J. M. Deutch
This map shows the geographic impact of J. M. Deutch'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 J. M. Deutch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Deutch more than expected).
Fields of papers citing papers by J. M. Deutch
This network shows the impact of papers produced by J. M. Deutch. 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 J. M. Deutch. The network helps show where J. M. Deutch may publish in the future.
Co-authorship network of co-authors of J. M. Deutch
This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Deutch. A scholar is included among the top collaborators of J. M. Deutch 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 J. M. Deutch. J. M. Deutch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 107 | |
| 2 | 135 | |
| 3 | 30 | |
| 4 | 69 | |
| 5 | 21 | |
| 6 | 55 | |
| 7 | The Good News About Gas | 8 |
| 8 | 38 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | Building Capability from the Technical Revolution That has Happened | 2 |
| 12 | 3 | |
| 13 | Commercializing Technology: What Should DOD Learn from DOE? | 3 |
| 14 | 18 | |
| 15 | 28 | |
| 16 | 21 | |
| 17 | 68 | |
| 18 | 44 | |
| 19 | 134 | |
| 20 | 4 |
About J. M. Deutch
J. M. Deutch is a scholar working on Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 177 papers that have together received 6.7k indexed citations. Recurring topics across this work include Material Dynamics and Properties (37 papers), Advanced Thermodynamics and Statistical Mechanics (33 papers) and Spectroscopy and Quantum Chemical Studies (24 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (725 citations), Physical and Theoretical Chemistry (866 citations) and Statistical and Nonlinear Physics (1.1k citations). J. M. Deutch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include B. U. Felderhof, George M. Whitesides, Paul Meakin, Daniel F. Calef, G. Nienhuis, Irwin Oppenheim, Mathai Mammen, Eugene I. Shakhnovich, S. A. Adelman and Zhongying Chen. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.