Tomáš Gedeon
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth 10
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- Quantum chaos and dynamical systems 9
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- Gene Regulatory Network Analysis 43
- Microbial Metabolic Engineering and Bioproduction 16
- Bioinformatics and Genomic Networks 14
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 9
- Genetics top 10%
- Evolution and Genetic Dynamics 16
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- Nonlinear Dynamics and Pattern Formation 14
- Co-authors
- Bree CumminsKonstantin MischaikowBenjamin SchwarzTrevor DouglasDustin P. PattersonAlexander G. DimitrovJeffrey J. HeysPavol Bokes
- Journals
- Bulletin of Mathematical Biology (8 papers)SIAM Journal on Applied Dynamical Systems (6 papers)PLoS Computational Biology (6 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Tomáš Gedeon
101 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 82
- Statistical and Nonlinear Physics 130
- Molecular Biology 684
- Cognitive Neuroscience 141
- Genetics 203
Countries citing papers authored by Tomáš Gedeon
This map shows the geographic impact of Tomáš Gedeon'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 Tomáš Gedeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Gedeon more than expected).
Fields of papers citing papers by Tomáš Gedeon
This network shows the impact of papers produced by Tomáš Gedeon. 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 Tomáš Gedeon. The network helps show where Tomáš Gedeon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomáš Gedeon, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 8 | |
| 9 | 2019 | 2 | |
| 10 | 2015 | 19 | |
| 11 | 2011 | 6 | |
| 12 | 2009 | 20 | |
| 13 | 2007 | 2 | |
| 14 | 2007 | 15 | |
| 15 | 2005 | 4 | |
| 16 | 1999 | 11 | |
| 17 | Heuristic pattern reduction II | 1993 | 1 |
| 18 | 1992 | 5 | |
| 19 | 1992 | 12 | |
| 20 | Stable and non-stable non-chaotic maps of the interval | 1991 | 2 |
About Tomáš Gedeon
Tomáš Gedeon is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Mathematical Physics, Molecular Biology and Genetics, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (43 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Evolution and Genetic Dynamics (16 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Bioinformatics and Genomic Networks (14 papers), Mathematical Biology Tumor Growth (10 papers), Neural dynamics and brain function (9 papers) and Quantum chaos and dynamical systems (9 papers). The work is most often cited by research in Modeling and Simulation (82 citations), Statistical and Nonlinear Physics (130 citations), Molecular Biology (684 citations), Cognitive Neuroscience (141 citations) and Genetics (203 citations). Tomáš Gedeon has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Bree Cummins, Konstantin Mischaikow, Benjamin Schwarz, Trevor Douglas, Dustin P. Patterson, Alexander G. Dimitrov, Jeffrey J. Heys, Pavol Bokes, John P. Miller and Zane Aldworth. Their work appears in journals such as Bulletin of Mathematical Biology, SIAM Journal on Applied Dynamical Systems, PLoS Computational Biology, Journal of Mathematical Biology and Physica D Nonlinear Phenomena.
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.