Thomas Schürmann
Impact in
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- Chaos control and synchronization
- Statistical Mechanics and Entropy
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Algorithms and Data Compression
Papers in
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- Statistical Mechanics and Entropy 3
- Noncommutative and Quantum Gravity Theories 2
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- Algorithms and Data Compression 2
- Evolutionary Algorithms and Applications 1
- Co-authors
- Peter Grassberger (1 shared paper)Hölger Kantz (1 shared paper)W Hartmann (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)Physics Letters A (1 paper)Neural Computation (1 paper)Foundations of Physics (1 paper)Physics (1 paper)
- Partner nations
- Germany
In The Last Decade
Thomas Schürmann
9 papers receiving 295 citations
Peers
Comparison fields: 5 of 93
- Statistical and Nonlinear Physics 94
- Artificial Intelligence 116
- Computational Theory and Mathematics 36
- Signal Processing 22
- Cognitive Neuroscience 39
Countries citing papers authored by Thomas Schürmann
This map shows the geographic impact of Thomas Schürmann'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 Thomas Schürmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schürmann more than expected).
Fields of papers citing papers by Thomas Schürmann
This network shows the impact of papers produced by Thomas Schürmann. 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 Thomas Schürmann. The network helps show where Thomas Schürmann may publish in the future.
Co-authors
The 3 scholars most cited alongside Thomas Schürmann, 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 | 1996 | 190 | |
| 2 | 2004 | 80 | |
| 3 | 2018 | 15 | |
| 4 | 1996 | 12 | |
| 5 | 2015 | 10 | |
| 6 | 2002 | 5 | |
| 7 | 2009 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2010 | 1 | |
| 10 | 2023 | 0 |
About Thomas Schürmann
Thomas Schürmann is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 10 papers that have together received 315 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (3 papers), Noncommutative and Quantum Gravity Theories (2 papers), Black Holes and Theoretical Physics (2 papers), Advanced Differential Geometry Research (2 papers), Cellular Automata and Applications (2 papers), Algorithms and Data Compression (2 papers), Complex Systems and Time Series Analysis (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (94 citations), Artificial Intelligence (116 citations), Computational Theory and Mathematics (36 citations), Signal Processing (22 citations) and Cognitive Neuroscience (39 citations). Thomas Schürmann has collaborated with scholars based in Germany. Frequent co-authors include Peter Grassberger, Hölger Kantz and W Hartmann. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physics Letters A, Neural Computation, Foundations of Physics and Physics.
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.