Andreas Singraber
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- Material Dynamics and Properties
- Fusion materials and technologies
-
- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
Papers in
-
- Machine Learning in Materials Science 5
- Material Dynamics and Properties 3
-
- Advanced Physical and Chemical Molecular Interactions 2
- Co-authors
- Christoph Dellago A (8 shared papers)Jörg Behler (5 shared papers)Tobias Morawietz (3 shared papers)Swetlana Jungblut (1 shared paper)Walter Grimus (1 shared paper)L. Lavoura (1 shared paper)Ferenc Karsai (1 shared paper)Martin P. Bircher (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (2 papers)Journal of Physics Condensed Matter (1 paper)Machine Learning Science and Technology (1 paper)Physics Letters B (1 paper)Physical Review Letters (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Andreas Singraber
10 papers receiving 991 citations
Andreas Singraber's Hit Papers
Peers
Comparison fields: 5 of 54
- Materials Chemistry 634
- Atomic and Molecular Physics, and Optics 252
- Physical and Theoretical Chemistry 86
- Atmospheric Science 74
- Metals and Alloys 6
Countries citing papers authored by Andreas Singraber
This map shows the geographic impact of Andreas Singraber'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 Andreas Singraber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Singraber more than expected).
Fields of papers citing papers by Andreas Singraber
This network shows the impact of papers produced by Andreas Singraber. 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 Andreas Singraber. The network helps show where Andreas Singraber may publish in the future.
Co-authors
The 16 scholars most cited alongside Andreas Singraber, 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 | How van der Waals interactions determine the unique properties of water Hit paper breakdown → | 2016 | 408 |
| 2 | 2019 | 258 | |
| 3 | 2019 | 191 | |
| 4 | 2023 | 43 | |
| 5 | 2013 | 33 | |
| 6 | 2018 | 18 | |
| 7 | 2010 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2025 | 7 |
About Andreas Singraber
Andreas Singraber is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Atmospheric Science, Atomic and Molecular Physics, and Optics and Geophysics, having authored 10 papers that have together received 1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Material Dynamics and Properties (3 papers), nanoparticles nucleation surface interactions (2 papers), Advanced Chemical Physics Studies (2 papers), Advanced Physical and Chemical Molecular Interactions (2 papers), Particle physics theoretical and experimental studies (1 paper), Neutrino Physics Research (1 paper) and High-pressure geophysics and materials (1 paper). The work is most often cited by research in Materials Chemistry (634 citations), Atomic and Molecular Physics, and Optics (252 citations), Physical and Theoretical Chemistry (86 citations), Atmospheric Science (74 citations) and Metals and Alloys (6 citations). Andreas Singraber has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christoph Dellago A, Jörg Behler, Tobias Morawietz, Swetlana Jungblut, Walter Grimus, L. Lavoura, Ferenc Karsai, Martin P. Bircher, Peitao Liu and Carla Verdi. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Physics Condensed Matter, Machine Learning Science and Technology, Physics Letters B 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.