William C. Witt
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Aerospace Engineering
- Computational Theory and Mathematics
- Co-authors
- Emily A. CarterJohannes M. DieterichBeatriz G. del RioWen LiGeorge LauderChris J. PickardGábor CśanyiVenkat Kapil
- Topics
- Machine Learning in Materials Science (9 papers)Advanced Chemical Physics Studies (5 papers)X-ray Diffraction in Crystallography (4 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of Chemical PhysicsJournal of Applied Psychology
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
William C. Witt
22 papers receiving 374 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Materials Chemistry 204
- Atomic and Molecular Physics, and Optics 130
- Electrical and Electronic Engineering 51
- Aerospace Engineering 49
- Computational Theory and Mathematics 32
Countries citing papers authored by William C. Witt
This map shows the geographic impact of William C. Witt'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 William C. Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Witt more than expected).
Fields of papers citing papers by William C. Witt
This network shows the impact of papers produced by William C. Witt. 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 William C. Witt. The network helps show where William C. Witt may publish in the future.
Co-authorship network of co-authors of William C. Witt
This figure shows the co-authorship network connecting the top 25 collaborators of William C. Witt. A scholar is included among the top collaborators of William C. Witt 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 William C. Witt. William C. Witt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 28 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 115 | |
| 13 | 9 | |
| 14 | 49 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 15 | |
| 20 | 2 |
About William C. Witt
William C. Witt is a scholar working on General Social Sciences, Surfaces, Coatings and Films and Materials Chemistry, having authored 24 papers that have together received 390 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Advanced Chemical Physics Studies (5 papers) and X-ray Diffraction in Crystallography (4 papers). The work is most often cited by research in Materials Chemistry (204 citations), Atomic and Molecular Physics, and Optics (130 citations) and Condensed Matter Physics (29 citations). William C. Witt has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Emily A. Carter, Johannes M. Dieterich, Beatriz G. del Rio, Wen Li, George Lauder, Chris J. Pickard, Gábor Cśanyi, Venkat Kapil, Ilyes Batatia and Joshua T. Horton. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Applied Psychology.
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.