Alexander V. Shapeev
Impact in
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science
- 2D Materials and Applications
- X-ray Diffraction in Crystallography
- MXene and MAX Phase Materials
- Thermal properties of materials
- Graphene research and applications
- Structural Biology top 2%
Papers in
-
- Machine Learning in Materials Science 53
- X-ray Diffraction in Crystallography 15
- Graphene research and applications 12
- Microstructure and mechanical properties 11
- 2D Materials and Applications 10
- MXene and MAX Phase Materials 10
- Co-authors
- Evgeny V. Podryabinkin (16 shared papers)Bohayra Mortazavi (18 shared papers)Xiaoying Zhuang (16 shared papers)Timon Rabczuk (12 shared papers)Fazel Shojaei (7 shared papers)Fritz Körmann (8 shared papers)Ivan S. Novikov (10 shared papers)Brahmanandam Javvaji (2 shared papers)
- Journals
- Physical review. B. (10 papers)npj Computational Materials (10 papers)Carbon (6 papers)Multiscale Modeling and Simulation (5 papers)Computational Materials Science (5 papers)
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
Alexander V. Shapeev
101 papers receiving 6.4k citations
Alexander V. Shapeev's Hit Papers
Peers
Comparison fields: 5 of 97
- Materials Chemistry 5.4k
- Structural Biology 89
- Metals and Alloys 155
- Computational Theory and Mathematics 653
- Mechanical Engineering 948
Countries citing papers authored by Alexander V. Shapeev
This map shows the geographic impact of Alexander V. Shapeev'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 Alexander V. Shapeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander V. Shapeev more than expected).
Fields of papers citing papers by Alexander V. Shapeev
This network shows the impact of papers produced by Alexander V. Shapeev. 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 Alexander V. Shapeev. The network helps show where Alexander V. Shapeev may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander V. Shapeev, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials Hit paper breakdown → | 2016 | 1071 |
| 2 | Performance and Cost Assessment of Machine Learning Interatomic Potentials Hit paper breakdown → | 2020 | 648 |
| 3 | Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles Hit paper breakdown → | 2020 | 505 |
| 4 | Active learning of linearly parametrized interatomic potentials Hit paper breakdown → | 2017 | 488 |
| 5 | Accelerating crystal structure prediction by machine-learning interatomic potentials with active learning Hit paper breakdown → | 2019 | 298 |
| 6 | First‐Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine‐Learning Interatomic Potentials Hit paper breakdown → | 2021 | 287 |
| 7 | Moment Tensor Potentials | 2016 | 217 |
| 8 | 2020 | 187 | |
| 9 | 2020 | 180 | |
| 10 | 2019 | 158 | |
| 11 | 2020 | 133 | |
| 12 | 2019 | 128 | |
| 13 | 2019 | 111 | |
| 14 | 2019 | 100 | |
| 15 | 2023 | 100 | |
| 16 | 2019 | 86 | |
| 17 | 2022 | 79 | |
| 18 | 2019 | 79 | |
| 19 | 2020 | 68 | |
| 20 | 2020 | 58 |
About Alexander V. Shapeev
Alexander V. Shapeev is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Mechanics of Materials, Mechanical Engineering and Computational Theory and Mathematics, having authored 104 papers that have together received 6.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (53 papers), X-ray Diffraction in Crystallography (15 papers), Graphene research and applications (12 papers), Microstructure and mechanical properties (11 papers), Metal and Thin Film Mechanics (11 papers), 2D Materials and Applications (10 papers), MXene and MAX Phase Materials (10 papers) and High Entropy Alloys Studies (9 papers). The work is most often cited by research in Materials Chemistry (5.4k citations), Structural Biology (89 citations), Metals and Alloys (155 citations), Computational Theory and Mathematics (653 citations) and Mechanical Engineering (948 citations). Alexander V. Shapeev has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Evgeny V. Podryabinkin, Bohayra Mortazavi, Xiaoying Zhuang, Timon Rabczuk, Fazel Shojaei, Fritz Körmann, Ivan S. Novikov, Brahmanandam Javvaji, Jörg Neugebauer and Artem R. Oganov. Their work appears in journals such as Physical review. B., npj Computational Materials, Carbon, Multiscale Modeling and Simulation and Computational Materials Science.
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.