Thomas L. Carroll
- Statistical and Nonlinear Physics top 0.01%
- Computer Networks and Communications top 0.02%
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Cognitive Neuroscience top 1%
- Co-authors
- Louis M. PecoraJames F. HeagyGregg A. JohnsonD. J. MarLou PecoraF. J. RachfordKenneth S. FinkLinda Moniz
- Topics
- Chaos control and synchronization (100 papers)Nonlinear Dynamics and Pattern Formation (74 papers)Quantum chaos and dynamical systems (30 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesItalyDenmark
In The Last Decade
Thomas L. Carroll
127 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Statistical and Nonlinear Physics 13.5k
- Computer Networks and Communications 12.9k
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 1.5k
- Cognitive Neuroscience 1.4k
Countries citing papers authored by Thomas L. Carroll
This map shows the geographic impact of Thomas L. Carroll'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 L. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas L. Carroll more than expected).
Fields of papers citing papers by Thomas L. Carroll
This network shows the impact of papers produced by Thomas L. Carroll. 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 L. Carroll. The network helps show where Thomas L. Carroll may publish in the future.
Co-authorship network of co-authors of Thomas L. Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas L. Carroll. A scholar is included among the top collaborators of Thomas L. Carroll 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 Thomas L. Carroll. Thomas L. Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 48 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 91 | |
| 20 | 11 |
About Thomas L. Carroll
Thomas L. Carroll is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 130 papers that have together received 16.5k indexed citations. Recurring topics across this work include Chaos control and synchronization (100 papers), Nonlinear Dynamics and Pattern Formation (74 papers) and Quantum chaos and dynamical systems (30 papers). The work is most often cited by research in Statistical and Nonlinear Physics (13.5k citations), Computer Networks and Communications (12.9k citations) and Computer Vision and Pattern Recognition (1.9k citations). Thomas L. Carroll has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Louis M. Pecora, James F. Heagy, Gregg A. Johnson, D. J. Mar, Lou Pecora, F. J. Rachford, Kenneth S. Fink, Linda Moniz, Jonathan M. Nichols and Ira B. Schwartz. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of Applied 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.