David M. Wilkins
- Materials Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Michele CeriottiGábor CśanyiVolker L. DeringerAlbert P. BartókNoam BernsteinAndrea GrisafiSylvie RokeDavid E. Manolopoulos
- Topics
- Spectroscopy and Quantum Chemical Studies (18 papers)Machine Learning in Materials Science (6 papers)Quantum, superfluid, helium dynamics (5 papers)
- Cited by
- Computational Theory and MathematicsMaterials ChemistryAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
David M. Wilkins
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Materials Chemistry 1.1k
- Atomic and Molecular Physics, and Optics 706
- Computational Theory and Mathematics 481
- Molecular Biology 292
- Electrical and Electronic Engineering 227
Countries citing papers authored by David M. Wilkins
This map shows the geographic impact of David M. Wilkins'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 David M. Wilkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Wilkins more than expected).
Fields of papers citing papers by David M. Wilkins
This network shows the impact of papers produced by David M. Wilkins. 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 David M. Wilkins. The network helps show where David M. Wilkins may publish in the future.
Co-authorship network of co-authors of David M. Wilkins
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Wilkins. A scholar is included among the top collaborators of David M. Wilkins 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 David M. Wilkins. David M. Wilkins 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 | Dissecting the hydrogen bond network of water: Charge transfer and nuclear quantum effectsbreakdown → | 53 |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 150 | |
| 12 | 205 | |
| 13 | 4 | |
| 14 | 23 | |
| 15 | 39 | |
| 16 | 60 | |
| 17 | 163 | |
| 18 | 40 | |
| 19 | 56 | |
| 20 | Analytic Influence Functionals for Numerical Feynman Integrals in Most Open Quantum Systems | 3 |
About David M. Wilkins
David M. Wilkins is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Filtration and Separation, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (18 papers), Machine Learning in Materials Science (6 papers) and Quantum, superfluid, helium dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (481 citations), Materials Chemistry (1.1k citations) and Atomic and Molecular Physics, and Optics (706 citations). David M. Wilkins has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Michele Ceriotti, Gábor Cśanyi, Volker L. Deringer, Albert P. Bartók, Noam Bernstein, Andrea Grisafi, Sylvie Roke, David E. Manolopoulos, Halil İ. Okur and Clémence Corminbœuf. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.