Albert P. Bartók
Impact in
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
- Nuclear Materials and Properties
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
Papers in
-
- Machine Learning in Materials Science 27
- X-ray Diffraction in Crystallography 11
- Material Dynamics and Properties 5
- Co-authors
- Gábor CśanyiRisi KondorM. C. PayneMichele CeriottiNoam BernsteinSandip DeJames R. KermodeVolker L. Deringer
- Journals
- The Journal of Chemical Physics (13 papers)Physical Review B (4 papers)Physical review. B. (4 papers)Physical Chemistry Chemical Physics (3 papers)Physical Review Letters (3 papers)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
Albert P. Bartók
49 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Materials Chemistry 7.0k
- Computational Theory and Mathematics 2.1k
- Structural Biology 126
- Metals and Alloys 210
- Catalysis 408
Countries citing papers authored by Albert P. Bartók
This map shows the geographic impact of Albert P. Bartók'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 Albert P. Bartók with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert P. Bartók more than expected).
Fields of papers citing papers by Albert P. Bartók
This network shows the impact of papers produced by Albert P. Bartók. 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 Albert P. Bartók. The network helps show where Albert P. Bartók may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Albert P. Bartók, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 127 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 199 | |
| 14 | Machine Learning a General-Purpose Interatomic Potential for Silicon Hit paper breakdown → | 2018 | 349 |
| 15 | 2017 | 2 | |
| 16 | 2017 | 22 | |
| 17 | Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons Hit paper breakdown → | 2010 | 2118 |
| 18 | 2008 | 26 | |
| 19 | On the performance of simple planar models of water in the vapor and the ice phases | 2007 | 1 |
| 20 | 2007 | 14 |
About Albert P. Bartók
Albert P. Bartók is a scholar working on Materials Chemistry, Structural Biology, Computational Theory and Mathematics, Atmospheric Science and Atomic and Molecular Physics, and Optics, having authored 50 papers that have together received 8.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (27 papers), Advanced Chemical Physics Studies (12 papers), X-ray Diffraction in Crystallography (11 papers), Computational Drug Discovery Methods (10 papers), nanoparticles nucleation surface interactions (10 papers), Phase Equilibria and Thermodynamics (8 papers), Protein Structure and Dynamics (6 papers) and Material Dynamics and Properties (5 papers). The work is most often cited by research in Materials Chemistry (7.0k citations), Computational Theory and Mathematics (2.1k citations), Structural Biology (126 citations), Metals and Alloys (210 citations) and Catalysis (408 citations). Albert P. Bartók has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Gábor Cśanyi, Risi Kondor, M. C. Payne, Michele Ceriotti, Noam Bernstein, Sandip De, James R. Kermode, Volker L. Deringer, Gábor Csányi and David M. Wilkins. Their work appears in journals such as The Journal of Chemical Physics, Physical Review B, Physical review. B., Physical Chemistry Chemical 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.