Philipp Geiger
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
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- nanoparticles nucleation surface interactions
Papers in
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- Bayesian Modeling and Causal Inference 4
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- Protein Structure and Dynamics 2
- Co-authors
- Christoph Dellago (6 shared papers)Miguel A. González (2 shared papers)J. L. F. Abascal (2 shared papers)Chantal Valeriani (2 shared papers)Frédéric Caupin (2 shared papers)Erwin Frey (3 shared papers)Eeuwe S. Zijlstra (1 shared paper)Martı́n E. Garcia (1 shared paper)
- Journals
- The Journal of Chemical Physics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Chemical Physics (1 paper)The Journal of Physical Chemistry C (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Philipp Geiger
16 papers receiving 457 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 79
- Atmospheric Science 93
- Structural Biology 7
- Physical and Theoretical Chemistry 35
- Atomic and Molecular Physics, and Optics 121
Countries citing papers authored by Philipp Geiger
This map shows the geographic impact of Philipp Geiger'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 Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Geiger more than expected).
Fields of papers citing papers by Philipp Geiger
This network shows the impact of papers produced by Philipp Geiger. 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 Geiger. The network helps show where Philipp Geiger may publish in the future.
Co-authors
The 24 scholars most cited alongside Philipp Geiger, 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 | 2016 | 122 | |
| 2 | 2013 | 114 | |
| 3 | 2013 | 32 | |
| 4 | 2010 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2014 | 29 | |
| 7 | Discovering Temporal Causal Relations from Subsampled Data | 2015 | 23 |
| 8 | 2014 | 19 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 11 | |
| 11 | 2010 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 4 | |
| 16 | Estimating causal effects by bounding confounding | 2014 | 2 |
About Philipp Geiger
Philipp Geiger is a scholar working on Artificial Intelligence, Molecular Biology, Materials Chemistry, Condensed Matter Physics and Statistical and Nonlinear Physics, having authored 16 papers that have together received 468 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Theoretical and Computational Physics (2 papers), Protein Structure and Dynamics (2 papers), Time Series Analysis and Forecasting (2 papers), nanoparticles nucleation surface interactions (2 papers), Data Management and Algorithms (1 paper), Molecular spectroscopy and chirality (1 paper) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (79 citations), Atmospheric Science (93 citations), Structural Biology (7 citations), Physical and Theoretical Chemistry (35 citations) and Atomic and Molecular Physics, and Optics (121 citations). Philipp Geiger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Christoph Dellago, Miguel A. González, J. L. F. Abascal, Chantal Valeriani, Frédéric Caupin, Erwin Frey, Eeuwe S. Zijlstra, Martı́n E. Garcia, Bernhard Schoelkopf and Tobias Zier. Their work appears in journals such as The Journal of Chemical Physics, Proceedings of the National Academy of Sciences, Chemical Physics, The Journal of Physical Chemistry C 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.