T. Geisel

188 papers and 8.7k indexed citations
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About

T. Geisel is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. Geisel has authored 188 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Statistical and Nonlinear Physics, 80 papers in Cognitive Neuroscience and 41 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. Geisel’s work include Neural dynamics and brain function (68 papers), Quantum chaos and dynamical systems (50 papers) and Nonlinear Dynamics and Pattern Formation (37 papers). T. Geisel is often cited by papers focused on Neural dynamics and brain function (68 papers), Quantum chaos and dynamical systems (50 papers) and Nonlinear Dynamics and Pattern Formation (37 papers). T. Geisel collaborates with scholars based in Germany, United States and United Kingdom. T. Geisel's co-authors include Dirk Brockmann, Lars Hufnagel, Fred Wolf, Roland Ketzmerick, J. Nierwetberg, Ragnar Fleischmann, J. Michael Herrmann, Klaus Pawelzik, G. Petschel and Günter Radons and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Co-authorship network of co-authors of T. Geisel

This figure shows the co-authorship network connecting the top 25 collaborators of T. Geisel. A scholar is included among the top collaborators of T. Geisel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Geisel. T. Geisel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by T. Geisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Geisel. 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 T. Geisel. The network helps show where T. Geisel may publish in the future.

Countries citing papers authored by T. Geisel

Since Specialization
Citations

This map shows the geographic impact of T. Geisel'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 T. Geisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Geisel 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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2026