W. David Wick
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Random Matrices and Applications
Papers in
-
- Theoretical and Computational Physics 7
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Anna De Masi (2 shared papers)Pablo A. Ferrari (1 shared paper)Sheldon Goldstein (1 shared paper)Otto O. Yang (3 shared papers)Steven G. Self (3 shared papers)Lawrence Corey (1 shared paper)Errico Presutti (2 shared papers)E. Presutti (1 shared paper)
- Journals
- Journal of Statistical Physics (6 papers)Journal of Virology (2 papers)Communications in Mathematical Physics (2 papers)The Annals of Probability (2 papers)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
W. David Wick
21 papers receiving 347 citations
Peers
Comparison fields: 5 of 64
- Mathematical Physics 232
- Statistics and Probability 131
- Condensed Matter Physics 154
- Virology 50
- Statistical and Nonlinear Physics 44
Countries citing papers authored by W. David Wick
This map shows the geographic impact of W. David Wick'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 W. David Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. David Wick more than expected).
Fields of papers citing papers by W. David Wick
This network shows the impact of papers produced by W. David Wick. 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 W. David Wick. The network helps show where W. David Wick may publish in the future.
Co-authors
The 25 scholars most cited alongside W. David Wick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 185 | |
| 2 | 1985 | 38 | |
| 3 | 2018 | 33 | |
| 4 | 2005 | 31 | |
| 5 | 1986 | 23 | |
| 6 | 2012 | 10 | |
| 7 | 1989 | 9 | |
| 8 | 1988 | 8 | |
| 9 | 1988 | 7 | |
| 10 | 1981 | 7 | |
| 11 | 2006 | 5 | |
| 12 | 2008 | 5 | |
| 13 | 2005 | 5 | |
| 14 | 2008 | 3 | |
| 15 | 1988 | 3 | |
| 16 | Global trends: climate change and resilience within contaminated lands rehabilitation | 2018 | 3 |
| 17 | 1982 | 3 | |
| 18 | 2008 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 1990 | 1 |
About W. David Wick
W. David Wick is a scholar working on Condensed Matter Physics, Virology, Mathematical Physics, Statistical and Nonlinear Physics and Infectious Diseases, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (7 papers), HIV Research and Treatment (7 papers), Stochastic processes and statistical mechanics (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), HIV/AIDS Research and Interventions (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Gas Dynamics and Kinetic Theory (2 papers). The work is most often cited by research in Mathematical Physics (232 citations), Statistics and Probability (131 citations), Condensed Matter Physics (154 citations), Virology (50 citations) and Statistical and Nonlinear Physics (44 citations). W. David Wick has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Anna De Masi, Pablo A. Ferrari, Sheldon Goldstein, Otto O. Yang, Steven G. Self, Lawrence Corey, Errico Presutti, E. Presutti, Herbert Spohn and Tetsuo Yasutaka. Their work appears in journals such as Journal of Statistical Physics, Journal of Virology, Communications in Mathematical Physics, The Annals of Probability and PLoS Computational Biology.
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.