Victor Bapst
Impact in
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- Glass properties and applications
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
Papers in
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- Theoretical and Computational Physics 5
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- Quantum many-body systems 2
- Co-authors
- Annette Obika (2 shared papers)Craig Donner (2 shared papers)Ekin D. Cubuk (2 shared papers)Alexander Nelson (2 shared papers)Thomas M. Keck (2 shared papers)Pushmeet Kohli (2 shared papers)Agnieszka Grabska‐Barwińska (2 shared papers)Samuel S. Schoenholz (1 shared paper)
- Journals
- Nature Physics (2 papers)Physical Review A (1 paper)Nature Reviews Physics (1 paper)Journal of Statistical Physics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Victor Bapst
15 papers receiving 433 citations
Victor Bapst's Hit Papers
Peers
Comparison fields: 5 of 83
- Ceramics and Composites 45
- Condensed Matter Physics 91
- Materials Chemistry 170
- Atomic and Molecular Physics, and Optics 91
- Statistical and Nonlinear Physics 34
Countries citing papers authored by Victor Bapst
This map shows the geographic impact of Victor Bapst'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 Victor Bapst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Bapst more than expected).
Fields of papers citing papers by Victor Bapst
This network shows the impact of papers produced by Victor Bapst. 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 Victor Bapst. The network helps show where Victor Bapst may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Bapst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Unveiling the predictive power of static structure in glassy systems Hit paper breakdown → | 2020 | 238 |
| 2 | 2010 | 59 | |
| 3 | Deep reinforcement learning with relational inductive biases | 2018 | 48 |
| 4 | Generating Interpretable Images with Controllable Structure | 2017 | 22 |
| 5 | 2025 | 17 | |
| 6 | 2014 | 13 | |
| 7 | 2015 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2011 | 7 | |
| 10 | Combining Q-Learning and Search with Amortized Value Estimates | 2020 | 6 |
| 11 | 2013 | 6 | |
| 12 | Relational inductive bias for physical construction in humans and machines | 2018 | 2 |
| 13 | 2013 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2020 | 1 |
About Victor Bapst
Victor Bapst is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Mathematical Physics and Statistics and Probability, having authored 15 papers that have together received 442 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (5 papers), Markov Chains and Monte Carlo Methods (2 papers), Reinforcement Learning in Robotics (2 papers), Quantum many-body systems (2 papers), Material Dynamics and Properties (2 papers), Stochastic processes and statistical mechanics (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Ceramics and Composites (45 citations), Condensed Matter Physics (91 citations), Materials Chemistry (170 citations), Atomic and Molecular Physics, and Optics (91 citations) and Statistical and Nonlinear Physics (34 citations). Victor Bapst has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Annette Obika, Craig Donner, Ekin D. Cubuk, Alexander Nelson, Thomas M. Keck, Pushmeet Kohli, Agnieszka Grabska‐Barwińska, Samuel S. Schoenholz, Demis Hassabis and Trevor Back. Their work appears in journals such as Nature Physics, Physical Review A, Nature Reviews Physics, Journal of Statistical Physics 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.