Robert S. DeWitte

9 papers receiving 459 citations

Peers

Robert S. DeWitte
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 246
  • Physical and Theoretical Chemistry 63
  • Molecular Biology 328
  • Organic Chemistry 110
  • Pharmacology 24
Replace Fredrik Österberg with:
Fredrik Österberg Sweden
Paulius Mikulskis Sweden
Richard A. Sykes United Kingdom
Tang Youqi China
Joseph M. Leonard United States
Theresa R. Phillips United Kingdom
Tobias Fink Switzerland
Steven A. Spronk United States
Edward E. Hodgkin United States
Jagna Witek Poland
Robert S. DeWitte relative to Fredrik Österberg Sweden Fredrik Österberg's profile →
Citations per field
00.5×1.5×1.8×
Fredrik Österberg · 1×
Citations per year

Countries citing papers authored by Robert S. DeWitte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Robert S. DeWitte Line = papers co-authored together Robert S. DeWitte links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1996220
2 199472
3 199753
4 199445
5 200037
6 199134
7 200624
8 19959
9 20063

About Robert S. DeWitte

Robert S. DeWitte is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Filtration and Separation, having authored 9 papers that have together received 497 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), Chemical and Physical Properties in Aqueous Solutions (1 paper), Machine Learning in Bioinformatics (1 paper) and Crystallization and Solubility Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (246 citations), Physical and Theoretical Chemistry (63 citations), Molecular Biology (328 citations), Organic Chemistry (110 citations) and Pharmacology (24 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 V. Ishchenko, Ian Bytheway, Ronald James Gillespie, Richard F. W. Bader, George M. Whitesides, Bartosz A. Grzybowski, Adam P. Hitchcock and Richard T. Oakley. Their work appears in journals such as Protein Science, Journal of the American Chemical Society, The Journal of Physical Chemistry B, Expert Opinion on Drug Metabolism & Toxicology and Journal of Electron Spectroscopy and Related Phenomena.

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.

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