Philipp Geiger

16 papers and 466 indexed citations i.

About

Philipp Geiger is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Philipp Geiger has authored 16 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Materials Chemistry. Recurrent topics in Philipp Geiger’s work include Bayesian Modeling and Causal Inference (4 papers), nanoparticles nucleation surface interactions (2 papers) and Protein Structure and Dynamics (2 papers). Philipp Geiger is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), nanoparticles nucleation surface interactions (2 papers) and Protein Structure and Dynamics (2 papers). Philipp Geiger collaborates with scholars based in Germany, Austria and United States. Philipp Geiger's co-authors include Christoph Dellago, Frédéric Caupin, Miguel A. González, J. L. F. Abascal, Chantal Valeriani, Erwin Frey, M.E. García, Eeuwe S. Zijlstra, Tobias Zier and Cesare Franchini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Philipp Geiger i

Fields of papers citing papers by Philipp Geiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Philipp Geiger

Since Specialization
Citations

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).

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.

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