David F. Hahn
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Spectroscopy
- Co-authors
- Gary TresadernDavid L. MobleyVytautas GapsysPhilippe H. HünenbergerJohn D. ChoderaMichael R. ShirtsChristopher I. BaylyBert L. de Groot
- Topics
- Protein Structure and Dynamics (14 papers)Computational Drug Discovery Methods (12 papers)Spectroscopy and Quantum Chemical Studies (4 papers)
- Journals
- Journal of Chemical Theory and ComputationJournal of Chemical Information and ModelingComputers & Chemical Engineering
- Partner nations
- BelgiumUnited StatesSwitzerland
In The Last Decade
David F. Hahn
23 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 344
- Computational Theory and Mathematics 258
- Materials Chemistry 212
- Atomic and Molecular Physics, and Optics 99
- Spectroscopy 56
Countries citing papers authored by David F. Hahn
This map shows the geographic impact of David F. Hahn'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 F. Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Hahn more than expected).
Fields of papers citing papers by David F. Hahn
This network shows the impact of papers produced by David F. Hahn. 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 F. Hahn. The network helps show where David F. Hahn may publish in the future.
Co-authorship network of co-authors of David F. Hahn
This figure shows the co-authorship network connecting the top 25 collaborators of David F. Hahn. A scholar is included among the top collaborators of David F. Hahn 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 F. Hahn. David F. Hahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Fieldbreakdown → | 111 |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 13 | |
| 8 | 46 | |
| 9 | 33 | |
| 10 | 113 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | A Nonlinearity Measure for Principal Component Models | 1 |
About David F. Hahn
David F. Hahn is a scholar working on Computational Theory and Mathematics, Architecture and Molecular Biology, having authored 23 papers that have together received 546 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (12 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (258 citations), Molecular Biology (344 citations) and Materials Chemistry (212 citations). David F. Hahn has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Gary Tresadern, David L. Mobley, Vytautas Gapsys, Philippe H. Hünenberger, John D. Chodera, Michael R. Shirts, Christopher I. Bayly, Bert L. de Groot, Jeffrey Wagner and Lee‐Ping Wang. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling and Computers & Chemical Engineering.
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.