Matthias Rupp
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
-
- Computational Drug Discovery Methods 35
-
- Machine Learning in Materials Science 29
- X-ray Diffraction in Crystallography 5
- Co-authors
- O. Anatole von LilienfeldKlaus‐Robert MüllerRaghunathan RamakrishnanAlexandre TkatchenkoPavlo O. DralKatja HansenKieron BurkeJohn Snyder
- Journals
- Molecular Informatics (6 papers)Journal of Cheminformatics (4 papers)International Journal of Quantum Chemistry (4 papers)npj Computational Materials (3 papers)The Journal of Chemical Physics (3 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Matthias Rupp
48 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computational Theory and Mathematics 3.2k
- Materials Chemistry 5.2k
- Physical and Theoretical Chemistry 596
- Catalysis 388
- Atomic and Molecular Physics, and Optics 1.0k
Countries citing papers authored by Matthias Rupp
This map shows the geographic impact of Matthias Rupp'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 Matthias Rupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Rupp more than expected).
Fields of papers citing papers by Matthias Rupp
This network shows the impact of papers produced by Matthias Rupp. 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 Matthias Rupp. The network helps show where Matthias Rupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Rupp, 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 | 0 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 41 | |
| 4 | Unified Representation for Machine Learning of Molecules and Crystals | 2017 | 20 |
| 5 | 2014 | 30 | |
| 6 | Quantum chemistry structures and properties of 134 kilo molecules Hit paper breakdown → | 2014 | 1164 |
| 7 | Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies Hit paper breakdown → | 2013 | 443 |
| 8 | Finding Density Functionals with Machine Learning Hit paper breakdown → | 2012 | 414 |
| 9 | 2012 | 6 | |
| 10 | 2012 | 6 | |
| 11 | 2012 | 181 | |
| 12 | 2011 | 6 | |
| 13 | 2011 | 36 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2010 | 11 | |
| 17 | 2010 | 33 | |
| 18 | 2009 | 22 | |
| 19 | 2009 | 45 | |
| 20 | 2007 | 29 |
About Matthias Rupp
Matthias Rupp is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Physical and Theoretical Chemistry, Metals and Alloys and Molecular Biology, having authored 49 papers that have together received 6.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Machine Learning in Materials Science (29 papers), Protein Structure and Dynamics (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), X-ray Diffraction in Crystallography (5 papers), Advanced Chemical Physics Studies (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Computational Theory and Mathematics (3.2k citations), Materials Chemistry (5.2k citations), Physical and Theoretical Chemistry (596 citations), Catalysis (388 citations) and Atomic and Molecular Physics, and Optics (1.0k citations). Matthias Rupp has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include O. Anatole von Lilienfeld, Klaus‐Robert Müller, Raghunathan Ramakrishnan, Alexandre Tkatchenko, Pavlo O. Dral, Katja Hansen, Kieron Burke, John Snyder, Grégoire Montavon and Gisbert Schneider. Their work appears in journals such as Molecular Informatics, Journal of Cheminformatics, International Journal of Quantum Chemistry, npj Computational Materials 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.