Philipp Benner
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
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- Chaos control and synchronization
Papers in
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- Statistical Methods and Bayesian Inference 1
-
- Genomics and Chromatin Dynamics 6
- Genomics and Phylogenetic Studies 2
- Co-authors
- Ruedi Stoop (2 shared papers)Yoko Uwate (2 shared papers)Martin Vingron (5 shared papers)Janosh Riebesell (1 shared paper)Gerbrand Ceder (1 shared paper)Anubhav Jain (1 shared paper)Mark Asta (1 shared paper)Bowen Deng (1 shared paper)
- Journals
- Journal of Computational Biology (2 papers)Bioinformatics (2 papers)BMC Bioinformatics (1 paper)Nature Communications (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Philipp Benner
17 papers receiving 539 citations
Philipp Benner's Hit Papers
Peers
Comparison fields: 5 of 52
- Materials Chemistry 289
- Statistical and Nonlinear Physics 75
- Mathematical Physics 41
- Molecular Biology 72
- Atomic and Molecular Physics, and Optics 34
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
| # | Work | ||
|---|---|---|---|
| 1 | A foundation model for atomistic materials chemistry Hit paper breakdown → | 2025 | 276 |
| 2 | 2010 | 86 | |
| 3 | A framework to evaluate machine learning crystal stability predictions Hit paper breakdown → | 2025 | 79 |
| 4 | 2012 | 20 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 17 | |
| 7 | 2014 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2025 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2012 | 3 | |
| 13 | 2025 | 3 | |
| 14 | Computing the posterior expectation of phylogenetic trees | 2013 | 2 |
| 15 | 2019 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 |
About Philipp Benner
Philipp Benner is a scholar working on Statistics and Probability, Molecular Biology, Materials Chemistry, Statistical and Nonlinear Physics and Mathematical Physics, having authored 19 papers that have together received 556 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Machine Learning in Materials Science (5 papers), Mathematical Dynamics and Fractals (2 papers), Chaos control and synchronization (2 papers), Genomics and Phylogenetic Studies (2 papers), Optimal Experimental Design Methods (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Materials Chemistry (289 citations), Statistical and Nonlinear Physics (75 citations), Mathematical Physics (41 citations), Molecular Biology (72 citations) and Atomic and Molecular Physics, and Optics (34 citations). Philipp Benner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ruedi Stoop, Yoko Uwate, Martin Vingron, Janosh Riebesell, Gerbrand Ceder, Anubhav Jain, Mark Asta, Bowen Deng, Yuan Chiang and Rhys E. A. Goodall. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, BMC Bioinformatics, 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.