D. C. Rapaport
Impact in
- Condensed Matter Physics top 1%
- Theoretical and Computational Physics
Papers in
-
- Theoretical and Computational Physics 43
- Co-authors
- Harold A. ScheragaE. ClementiJeffrey SkolnickJohn E. JohnsonC. DombIsaac FreundWilliam R. SmithN. E. Frankel
- Journals
- Computer Physics Communications (10 papers)Physical Review Letters (7 papers)Physics Letters A (6 papers)Physica A Statistical Mechanics and its Applications (3 papers)Physical Review A (3 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
D. C. Rapaport
98 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Condensed Matter Physics 1.1k
- Fluid Flow and Transfer Processes 506
- Computational Mechanics 1.2k
- Materials Chemistry 2.5k
- Statistical and Nonlinear Physics 592
Countries citing papers authored by D. C. Rapaport
This map shows the geographic impact of D. C. Rapaport'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 D. C. Rapaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. C. Rapaport more than expected).
Fields of papers citing papers by D. C. Rapaport
This network shows the impact of papers produced by D. C. Rapaport. 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 D. C. Rapaport. The network helps show where D. C. Rapaport may publish in the future.
Co-authorship network
The 17 scholars most cited alongside D. C. Rapaport, 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 | 2018 | 12 | |
| 2 | 2012 | 35 | |
| 3 | Molecular dynamics simulation: A tool for exploration and discovery | 2009 | 1 |
| 4 | 2009 | 3 | |
| 5 | 2008 | 104 | |
| 6 | 2007 | 57 | |
| 7 | 2007 | 13 | |
| 8 | 2007 | 15 | |
| 9 | 2004 | 126 | |
| 10 | 2003 | 2 | |
| 11 | 2002 | 85 | |
| 12 | 2002 | 21 | |
| 13 | 2001 | 25 | |
| 14 | 2001 | 27 | |
| 15 | 1999 | 65 | |
| 16 | 1991 | 32 | |
| 17 | 1987 | 75 | |
| 18 | 1985 | 17 | |
| 19 | 1976 | 19 | |
| 20 | 1974 | 13 |
About D. C. Rapaport
D. C. Rapaport is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Mathematical Physics, Computational Mechanics and Physical and Theoretical Chemistry, having authored 102 papers that have together received 6.7k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (43 papers), Material Dynamics and Properties (22 papers), Granular flow and fluidized beds (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers), Phase Equilibria and Thermodynamics (11 papers), Stochastic processes and statistical mechanics (9 papers), Protein Structure and Dynamics (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). The work is most often cited by research in Condensed Matter Physics (1.1k citations), Fluid Flow and Transfer Processes (506 citations), Computational Mechanics (1.2k citations), Materials Chemistry (2.5k citations) and Statistical and Nonlinear Physics (592 citations). D. C. Rapaport has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Harold A. Scheraga, E. Clementi, Jeffrey Skolnick, John E. Johnson, C. Domb, Isaac Freund, William R. Smith, N. E. Frankel, D. P. Landau and Shlomo Havlin. Their work appears in journals such as Computer Physics Communications, Physical Review Letters, Physics Letters A, Physica A Statistical Mechanics and its Applications and Physical Review A.
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.