Igor Poltavsky
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 13
- Carbon Nanotubes in Composites 4
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- Quantum, superfluid, helium dynamics 11
- Advanced Chemical Physics Studies 4
- Co-authors
- Alexandre Tkatchenko (19 shared papers)Stefan Chmiela (6 shared papers)Huziel E. Sauceda (5 shared papers)Klaus‐Robert Müller (3 shared papers)Kristof T. Schütt (1 shared paper)Valentín Vassilev-Galindo (5 shared papers)T. N. Antsygina (10 shared papers)Majid Mortazavi (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)Physical Review B (4 papers)Journal of Low Temperature Physics (3 papers)Journal of Chemical Theory and Computation (2 papers)Nature Communications (2 papers)
- Partner nations
- LuxembourgUkraineGermany
In The Last Decade
Igor Poltavsky
29 papers receiving 1.5k citations
Igor Poltavsky's Hit Papers
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 509
- Materials Chemistry 1.2k
- Structural Biology 19
- Physical and Theoretical Chemistry 108
- Atomic and Molecular Physics, and Optics 340
Countries citing papers authored by Igor Poltavsky
This map shows the geographic impact of Igor Poltavsky'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 Igor Poltavsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Poltavsky more than expected).
Fields of papers citing papers by Igor Poltavsky
This network shows the impact of papers produced by Igor Poltavsky. 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 Igor Poltavsky. The network helps show where Igor Poltavsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Poltavsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning of accurate energy-conserving molecular force fields Hit paper breakdown → | 2017 | 852 |
| 2 | 2019 | 174 | |
| 3 | 2021 | 91 | |
| 4 | 2018 | 45 | |
| 5 | 2024 | 44 | |
| 6 | 2015 | 31 | |
| 7 | 2021 | 31 | |
| 8 | 2016 | 29 | |
| 9 | 2008 | 29 | |
| 10 | 2023 | 24 | |
| 11 | Improving molecular force fields across configurational space by combining supervised and unsupervised machine learning | 2021 | 19 |
| 12 | 2018 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2005 | 14 | |
| 15 | 2006 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2002 | 7 | |
| 20 | 2009 | 6 |
About Igor Poltavsky
Igor Poltavsky is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Molecular Biology and Biomedical Engineering, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Quantum, superfluid, helium dynamics (11 papers), Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (8 papers), Advanced Chemical Physics Studies (4 papers), Carbon Nanotubes in Composites (4 papers), Phase Equilibria and Thermodynamics (3 papers) and Physics of Superconductivity and Magnetism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (509 citations), Materials Chemistry (1.2k citations), Structural Biology (19 citations), Physical and Theoretical Chemistry (108 citations) and Atomic and Molecular Physics, and Optics (340 citations). Igor Poltavsky has collaborated with scholars based in Luxembourg, Ukraine and Germany. Frequent co-authors include Alexandre Tkatchenko, Stefan Chmiela, Huziel E. Sauceda, Klaus‐Robert Müller, Kristof T. Schütt, Valentín Vassilev-Galindo, T. N. Antsygina, Majid Mortazavi, Limin Zheng and Ángel Martín Pendás. Their work appears in journals such as The Journal of Chemical Physics, Physical Review B, Journal of Low Temperature Physics, Journal of Chemical Theory and Computation and Nature Communications.
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.