Philipp Geiger
Impact in
-
- Advanced Thermodynamics and Statistical Mechanics
-
- nanoparticles nucleation surface interactions
Papers in
-
- Bayesian Modeling and Causal Inference 4
-
- Protein Structure and Dynamics 2
- RNA modifications and cancer 1
- Co-authors
- Christoph Dellago (6 shared papers)Frédéric Caupin (2 shared papers)J. L. F. Abascal (2 shared papers)Chantal Valeriani (2 shared papers)Miguel A. González (2 shared papers)Erwin Frey (3 shared papers)Tobias Zier (1 shared paper)Eeuwe S. Zijlstra (1 shared paper)
- Journals
- The Journal of Chemical Physics (2 papers)Applied Physics A (1 paper)The Journal of Physical Chemistry C (1 paper)Chemical Physics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Philipp Geiger
16 papers receiving 489 citations
Peers
Comparison fields: 5 of 87
- Statistical and Nonlinear Physics 87
- Atmospheric Science 98
- Structural Biology 7
- Atomic and Molecular Physics, and Optics 124
- Materials Chemistry 182
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 25 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 | 132 | |
| 2 | 2013 | 123 | |
| 3 | 2013 | 37 | |
| 4 | 2010 | 33 | |
| 5 | 2020 | 33 | |
| 6 | 2014 | 30 | |
| 7 | Discovering Temporal Causal Relations from Subsampled Data | 2015 | 24 |
| 8 | 2014 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2010 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 4 | |
| 16 | Estimating causal effects by bounding confounding | 2014 | 2 |
| 17 | 2025 | 0 |
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 17 papers that have together received 501 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Protein Structure and Dynamics (2 papers), Theoretical and Computational Physics (2 papers), nanoparticles nucleation surface interactions (2 papers), Time Series Analysis and Forecasting (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), RNA modifications and cancer (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (87 citations), Atmospheric Science (98 citations), Structural Biology (7 citations), Atomic and Molecular Physics, and Optics (124 citations) and Materials Chemistry (182 citations). Philipp Geiger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christoph Dellago, Frédéric Caupin, J. L. F. Abascal, Chantal Valeriani, Miguel A. González, Erwin Frey, Tobias Zier, Eeuwe S. Zijlstra, Martı́n E. Garcia and Bernhard Schoelkopf. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics A, The Journal of Physical Chemistry C, 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.