Epaminondas Rosa
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Edward OttMark HessCelso GrebogiMarco MontiC. M. TicoşScott HayesElbert E. N. MacauMurilo S. Baptista
- Topics
- Chaos control and synchronization (26 papers)Nonlinear Dynamics and Pattern Formation (24 papers)Neural dynamics and brain function (20 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Epaminondas Rosa
50 papers receiving 952 citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 712
- Computer Networks and Communications 586
- Cognitive Neuroscience 241
- Molecular Biology 102
- Electrical and Electronic Engineering 81
Countries citing papers authored by Epaminondas Rosa
This map shows the geographic impact of Epaminondas Rosa'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 Epaminondas Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Epaminondas Rosa more than expected).
Fields of papers citing papers by Epaminondas Rosa
This network shows the impact of papers produced by Epaminondas Rosa. 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 Epaminondas Rosa. The network helps show where Epaminondas Rosa may publish in the future.
Co-authorship network of co-authors of Epaminondas Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Epaminondas Rosa. A scholar is included among the top collaborators of Epaminondas Rosa 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 Epaminondas Rosa. Epaminondas Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 16 | |
| 5 | 26 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 37 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 107 | |
| 19 | 74 | |
| 20 | 4 |
About Epaminondas Rosa
Epaminondas Rosa is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 51 papers that have together received 980 indexed citations. Recurring topics across this work include Chaos control and synchronization (26 papers), Nonlinear Dynamics and Pattern Formation (24 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (712 citations), Computer Networks and Communications (586 citations) and Cognitive Neuroscience (241 citations). Epaminondas Rosa has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Edward Ott, Mark Hess, Celso Grebogi, Marco Monti, C. M. Ticoş, Scott Hayes, Elbert E. N. Macau, Murilo S. Baptista, Wolfgang Stein and Gilberto M. Kremer. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Physics Letters A.
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.