Philipp Benner
Impact in
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Genomics and Chromatin Dynamics 4
- Genomics and Phylogenetic Studies 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Yoko Uwate (2 shared papers)Ruedi Stoop (2 shared papers)Martin Vingron (4 shared papers)Janosh Riebesell (2 shared papers)Mark Asta (2 shared papers)Yuan Chiang (2 shared papers)Gerbrand Ceder (2 shared papers)Bowen Deng (2 shared papers)
- Journals
- Journal of Computational Biology (2 papers)Nature Machine Intelligence (2 papers)Bioinformatics (2 papers)Nature Communications (1 paper)International Journal of Bifurcation and Chaos (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Philipp Benner
17 papers receiving 222 citations
Philipp Benner's Hit Papers
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 78
- Computer Networks and Communications 74
- Materials Chemistry 53
- Mathematical Physics 7
- Molecular Biology 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 80 | |
| 2 | A framework to evaluate machine learning crystal stability predictions Hit paper breakdown → | 2025 | 48 |
| 3 | 2012 | 19 | |
| 4 | 2018 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2014 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2025 | 7 | |
| 9 | [From beginner to expert]. | 1996 | 7 |
| 10 | 2023 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2012 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | Computing the posterior expectation of phylogenetic trees | 2013 | 1 |
About Philipp Benner
Philipp Benner is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Statistical and Nonlinear Physics and Spectroscopy, having authored 18 papers that have together received 229 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (2 papers), Chaos control and synchronization (2 papers), Crystallization and Solubility Studies (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (78 citations), Computer Networks and Communications (74 citations), Materials Chemistry (53 citations), Mathematical Physics (7 citations) and Molecular Biology (46 citations). Philipp Benner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Yoko Uwate, Ruedi Stoop, Martin Vingron, Janosh Riebesell, Mark Asta, Yuan Chiang, Gerbrand Ceder, Bowen Deng, Kristin A. Persson and Anubhav Jain. Their work appears in journals such as Journal of Computational Biology, Nature Machine Intelligence, Bioinformatics, Nature Communications and International Journal of Bifurcation and Chaos.
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.