Tomáš Gedeon
Impact in
- Modeling and Simulation top 5%
Papers in
-
- Gene Regulatory Network Analysis 45
- Microbial Metabolic Engineering and Bioproduction 18
- Bioinformatics and Genomic Networks 15
- Genetics 23
- Evolution and Genetic Dynamics 17
- Co-authors
- Bree Cummins (22 shared papers)Konstantin Mischaikow (22 shared papers)Dustin P. Patterson (1 shared paper)Benjamin Schwarz (1 shared paper)Alexander G. Dimitrov (11 shared papers)Trevor Douglas (1 shared paper)Jeffrey J. Heys (8 shared papers)Pavol Bokes (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (9 papers)PLoS Computational Biology (6 papers)SIAM Journal on Applied Dynamical Systems (6 papers)Journal of Mathematical Biology (5 papers)Journal of Theoretical Biology (5 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Tomáš Gedeon
108 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 87
- Statistical and Nonlinear Physics 140
- Molecular Biology 713
- Genetics 220
- Cellular and Molecular Neuroscience 145
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-authors
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
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 210 | |
| 2 | 2020 | 63 | |
| 3 | 2012 | 61 | |
| 4 | 2016 | 47 | |
| 5 | 2007 | 47 | |
| 6 | 2005 | 42 | |
| 7 | 1998 | 41 | |
| 8 | 2011 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 2014 | 33 | |
| 11 | 2016 | 31 | |
| 12 | 2005 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2008 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 1995 | 24 | |
| 19 | 2011 | 23 | |
| 20 | 1999 | 22 |
About Tomáš Gedeon
Tomáš Gedeon is a scholar working on Molecular Biology, Genetics, Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 114 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (45 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Evolution and Genetic Dynamics (17 papers), Nonlinear Dynamics and Pattern Formation (15 papers), Bioinformatics and Genomic Networks (15 papers), Quantum chaos and dynamical systems (10 papers), Mathematical Biology Tumor Growth (9 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Modeling and Simulation (87 citations), Statistical and Nonlinear Physics (140 citations), Molecular Biology (713 citations), Genetics (220 citations) and Cellular and Molecular Neuroscience (145 citations). Tomáš Gedeon has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Bree Cummins, Konstantin Mischaikow, Dustin P. Patterson, Benjamin Schwarz, Alexander G. Dimitrov, Trevor Douglas, Jeffrey J. Heys, Pavol Bokes, John P. Miller and Zane Aldworth. Their work appears in journals such as Bulletin of Mathematical Biology, PLoS Computational Biology, SIAM Journal on Applied Dynamical Systems, Journal of Mathematical Biology and Journal of Theoretical Biology.
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.