Grant M. Rotskoff
- Statistical and Nonlinear Physics top 2%
- Materials Chemistry
- Molecular Biology
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Co-authors
- Phillip L. GeisslerGavin E. CrooksTodd R. GingrichEric Vanden‐EijndenJordan M. HorowitzA. Paul AlivisatosLayne B. FrechetteMatthew R. Jones
- Topics
- Advanced Thermodynamics and Statistical Mechanics (15 papers)Protein Structure and Dynamics (6 papers)stochastic dynamics and bifurcation (6 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Grant M. Rotskoff
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 327
- Materials Chemistry 324
- Molecular Biology 257
- Atomic and Molecular Physics, and Optics 222
- Biomedical Engineering 110
Countries citing papers authored by Grant M. Rotskoff
This map shows the geographic impact of Grant M. Rotskoff'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 Grant M. Rotskoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant M. Rotskoff more than expected).
Fields of papers citing papers by Grant M. Rotskoff
This network shows the impact of papers produced by Grant M. Rotskoff. 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 Grant M. Rotskoff. The network helps show where Grant M. Rotskoff may publish in the future.
Co-authorship network of co-authors of Grant M. Rotskoff
This figure shows the co-authorship network connecting the top 25 collaborators of Grant M. Rotskoff. A scholar is included among the top collaborators of Grant M. Rotskoff 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 Grant M. Rotskoff. Grant M. Rotskoff 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 23 | |
| 10 | A mean-field analysis of two-player zero-sum games | 1 |
| 11 | Neuron birth-death dynamics accelerates gradient descent and converges asymptotically | 2 |
| 12 | 7 | |
| 13 | 68 | |
| 14 | Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks | 17 |
| 15 | 49 | |
| 16 | 18 | |
| 17 | 111 | |
| 18 | 29 | |
| 19 | 217 | |
| 20 | 49 |
About Grant M. Rotskoff
Grant M. Rotskoff is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Structural Biology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Protein Structure and Dynamics (6 papers) and stochastic dynamics and bifurcation (6 papers). The work is most often cited by research in Structural Biology (87 citations), Statistical and Nonlinear Physics (327 citations) and Surfaces, Coatings and Films (59 citations). Grant M. Rotskoff has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Phillip L. Geissler, Gavin E. Crooks, Todd R. Gingrich, Eric Vanden‐Eijnden, Jordan M. Horowitz, A. Paul Alivisatos, Layne B. Frechette, Matthew R. Jones, Julien Herrou and James F. Dama. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.