Robert S. DeWitte
Impact in
-
- Computational Drug Discovery Methods
-
- Crystallography and molecular interactions
Papers in
-
- Machine Learning in Materials Science 2
- Enzyme Structure and Function 2
-
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Eugene I. Shakhnovich (2 shared papers)Eugene I. Shakhnovich (3 shared papers)Alexey Ishchenko (2 shared papers)R. J. Gillespie (1 shared paper)Ian Bytheway (1 shared paper)Richard F. W. Bader (1 shared paper)Bartosz A. Grzybowski (1 shared paper)George M. Whitesides (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Protein Science (2 papers)Journal of Electron Spectroscopy and Related Phenomena (1 paper)Expert Opinion on Drug Metabolism & Toxicology (1 paper)Inorganic Chemistry (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Robert S. DeWitte
9 papers receiving 408 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 209
- Physical and Theoretical Chemistry 61
- Molecular Biology 293
- Organic Chemistry 90
- Spectroscopy 41
Countries citing papers authored by Robert S. DeWitte
This map shows the geographic impact of Robert S. DeWitte'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 Robert S. DeWitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. DeWitte more than expected).
Fields of papers citing papers by Robert S. DeWitte
This network shows the impact of papers produced by Robert S. DeWitte. 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 Robert S. DeWitte. The network helps show where Robert S. DeWitte may publish in the future.
Co-authors
The 14 scholars most cited alongside Robert S. DeWitte, 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 | 1996 | 180 | |
| 2 | 1994 | 70 | |
| 3 | 1997 | 41 | |
| 4 | 1994 | 39 | |
| 5 | 2000 | 37 | |
| 6 | 1991 | 33 | |
| 7 | 2006 | 22 | |
| 8 | 1995 | 9 | |
| 9 | 2006 | 3 |
About Robert S. DeWitte
Robert S. DeWitte is a scholar working on Materials Chemistry, Molecular Biology, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 9 papers that have together received 434 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers), Advanced Chemical Physics Studies (2 papers), Machine Learning in Materials Science (2 papers), Enzyme Structure and Function (2 papers), Machine Learning in Bioinformatics (1 paper), Photochemistry and Electron Transfer Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (209 citations), Physical and Theoretical Chemistry (61 citations), Molecular Biology (293 citations), Organic Chemistry (90 citations) and Spectroscopy (41 citations). Robert S. DeWitte has collaborated with scholars based in United States and Canada. Frequent co-authors include Eugene I. Shakhnovich, Eugene I. Shakhnovich, Alexey Ishchenko, R. J. Gillespie, Ian Bytheway, Richard F. W. Bader, Bartosz A. Grzybowski, George M. Whitesides, P. Aebi and Nicholas P. C. Westwood. Their work appears in journals such as Journal of the American Chemical Society, Protein Science, Journal of Electron Spectroscopy and Related Phenomena, Expert Opinion on Drug Metabolism & Toxicology and Inorganic Chemistry.
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.