Thomas Dahms
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Chaos control and synchronization 6
- stochastic dynamics and bifurcation 3
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- Nonlinear Dynamics and Pattern Formation 15
- Neural Networks Stability and Synchronization 5
- Co-authors
- Eckehard SchöllJudith LehnertPhilipp HövelValentín FlunkertAnton SelivanovАlexander L. FradkovCaitlin R. S. WilliamsThomas E. Murphy
- Journals
- Physical Review Letters (3 papers)Dynamical Systems (1 paper)Journal of Mathematical Sciences (1 paper)IFAC Proceedings Volumes (1 paper)Physical Review E (8 papers)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Thomas Dahms
14 papers receiving 591 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 358
- Computer Networks and Communications 552
- Cognitive Neuroscience 146
- Atomic and Molecular Physics, and Optics 55
- Artificial Intelligence 56
Countries citing papers authored by Thomas Dahms
This map shows the geographic impact of Thomas Dahms'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 Dahms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dahms more than expected).
Fields of papers citing papers by Thomas Dahms
This network shows the impact of papers produced by Thomas Dahms. 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 Dahms. The network helps show where Thomas Dahms may publish in the future.
Co-authors
The 19 scholars most cited alongside Thomas Dahms, 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 | 2014 | 0 | |
| 2 | 2014 | 6 | |
| 3 | 2013 | 77 | |
| 4 | 2013 | 19 | |
| 5 | 2013 | 5 | |
| 6 | 2013 | 15 | |
| 7 | 2013 | 7 | |
| 8 | 2013 | 2 | |
| 9 | 2012 | 88 | |
| 10 | 2012 | 141 | |
| 11 | 2011 | 93 | |
| 12 | 2010 | 98 | |
| 13 | 2009 | 1 | |
| 14 | 2008 | 25 | |
| 15 | 2007 | 38 | |
| 16 | Stabilization of fixed points by extended time-delayed feedback control | 2007 | 4 |
About Thomas Dahms
Thomas Dahms is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Geometry and Topology and Economics and Econometrics, having authored 16 papers that have together received 619 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (6 papers), Neural dynamics and brain function (5 papers), Neural Networks Stability and Synchronization (5 papers), stochastic dynamics and bifurcation (3 papers), Complex Systems and Time Series Analysis (2 papers), Photoreceptor and optogenetics research (1 paper) and Semiconductor Lasers and Optical Devices (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (358 citations), Computer Networks and Communications (552 citations), Cognitive Neuroscience (146 citations), Atomic and Molecular Physics, and Optics (55 citations) and Artificial Intelligence (56 citations). Thomas Dahms has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Eckehard Schöll, Judith Lehnert, Philipp Hövel, Valentín Flunkert, Anton Selivanov, Аlexander L. Fradkov, Caitlin R. S. Williams, Thomas E. Murphy, Francesco Sorrentino and Rajarshi Roy. Their work appears in journals such as Physical Review Letters, Dynamical Systems, Journal of Mathematical Sciences, IFAC Proceedings Volumes and Physical Review E.
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.