Michael Gastegger
- Materials Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Alexandre TkatchenkoKristof T. SchüttKlaus‐Robert MüllerPhilipp MarquetandStefan ChmielaK. MüllerBingqing ChengValentín Vassilev-Galindo
- Topics
- Machine Learning in Materials Science (21 papers)Computational Drug Discovery Methods (12 papers)Protein Structure and Dynamics (7 papers)
- Partner nations
- GermanyAustriaSouth Korea
In The Last Decade
Michael Gastegger
23 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Materials Chemistry 1.7k
- Computational Theory and Mathematics 877
- Molecular Biology 583
- Atomic and Molecular Physics, and Optics 376
- Electrical and Electronic Engineering 227
Countries citing papers authored by Michael Gastegger
This map shows the geographic impact of Michael Gastegger'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 Michael Gastegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gastegger more than expected).
Fields of papers citing papers by Michael Gastegger
This network shows the impact of papers produced by Michael Gastegger. 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 Michael Gastegger. The network helps show where Michael Gastegger may publish in the future.
Co-authorship network of co-authors of Michael Gastegger
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gastegger. A scholar is included among the top collaborators of Michael Gastegger 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 Michael Gastegger. Michael Gastegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragmentsbreakdown → | 67 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 55 | |
| 7 | 32 | |
| 8 | 123 | |
| 9 | SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effectsbreakdown → | 215 |
| 10 | Equivariant message passing for the prediction of tensorial properties and molecular spectra | 2 |
| 11 | Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systemsbreakdown → | 546 |
| 12 | 34 | |
| 13 | 129 | |
| 14 | Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules | 6 |
| 15 | Modeling Molecular Spectra with Interpretable Atomistic Neural Networks | 1 |
| 16 | Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctionsbreakdown → | 303 |
| 17 | 205 | |
| 18 | 0 | |
| 19 | 46 | |
| 20 | 32 |
About Michael Gastegger
Michael Gastegger is a scholar working on Computational Theory and Mathematics, Structural Biology and Materials Chemistry, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), Computational Drug Discovery Methods (12 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Computational Theory and Mathematics (877 citations), Materials Chemistry (1.7k citations) and Structural Biology (28 citations). Michael Gastegger has collaborated with scholars based in Germany, Austria and South Korea. Frequent co-authors include Alexandre Tkatchenko, Kristof T. Schütt, Klaus‐Robert Müller, Philipp Marquetand, Stefan Chmiela, K. Müller, Bingqing Cheng, Valentín Vassilev-Galindo, John A. Keith and Reinhard J. Maurer. Their work appears in journals such as Chemical Reviews, Nature Communications and The Journal of Chemical Physics.
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.