Philipp Benner
Impact in
-
- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
-
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
-
- Genomics and Chromatin Dynamics 5
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
-
- Machine Learning in Materials Science 5
- Crystallization and Solubility Studies 2
- Co-authors
- Ruedi Stoop (2 shared papers)Yoko Uwate (2 shared papers)Yuan Chiang (4 shared papers)Rhys E. A. Goodall (4 shared papers)Mark Asta (4 shared papers)Martin Vingron (5 shared papers)Janosh Riebesell (4 shared papers)Kristin A. Persson (4 shared papers)
- Journals
- Bioinformatics (2 papers)Nature Machine Intelligence (2 papers)Journal of Computational Biology (2 papers)The Journal of Chemical Physics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Philipp Benner
20 papers receiving 456 citations
Philipp Benner's Hit Papers
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 81
- Materials Chemistry 220
- Computer Networks and Communications 79
- Catalysis 19
- Computational Theory and Mathematics 46
Countries citing papers authored by Philipp Benner
This map shows the geographic impact of Philipp Benner'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 Philipp Benner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Benner more than expected).
Fields of papers citing papers by Philipp Benner
This network shows the impact of papers produced by Philipp Benner. 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 Philipp Benner. The network helps show where Philipp Benner may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Benner, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A foundation model for atomistic materials chemistry Hit paper breakdown → | 2023 | 181 |
| 2 | 2010 | 83 | |
| 3 | A framework to evaluate machine learning crystal stability predictions Hit paper breakdown → | 2025 | 49 |
| 4 | A foundation model for atomistic materials chemistry Hit paper breakdown → | 2025 | 45 |
| 5 | 2012 | 20 | |
| 6 | 2023 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2014 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2025 | 7 | |
| 11 | [From beginner to expert]. | 1996 | 7 |
| 12 | 2023 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2012 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Philipp Benner
Philipp Benner is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Spectroscopy, having authored 21 papers that have together received 463 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Machine Learning in Materials Science (5 papers), Genomics and Phylogenetic Studies (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Chaos control and synchronization (2 papers) and Crystallization and Solubility Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (81 citations), Materials Chemistry (220 citations), Computer Networks and Communications (79 citations), Catalysis (19 citations) and Computational Theory and Mathematics (46 citations). Philipp Benner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ruedi Stoop, Yoko Uwate, Yuan Chiang, Rhys E. A. Goodall, Mark Asta, Martin Vingron, Janosh Riebesell, Kristin A. Persson, Janine George and Aakash Ashok Naik. Their work appears in journals such as Bioinformatics, Nature Machine Intelligence, Journal of Computational Biology, The Journal of Chemical Physics 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.