Paulo C. Rech
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 2%
- Public Health, Environmental and Occupational Health
- Cognitive Neuroscience top 10%
- Mathematical Physics top 10%
- Co-authors
- Holokx A. AlbuquerqueR. M. RubingerJason A. C. GallasMarcus W. BeimsMárcia Russman GallasN. C. PatiRodrigo A. da SilvaG. C. Layek
- Topics
- Chaos control and synchronization (78 papers)Nonlinear Dynamics and Pattern Formation (70 papers)Quantum chaos and dynamical systems (60 papers)
In The Last Decade
Paulo C. Rech
92 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 897
- Computer Networks and Communications 727
- Public Health, Environmental and Occupational Health 123
- Cognitive Neuroscience 114
- Mathematical Physics 87
Countries citing papers authored by Paulo C. Rech
This map shows the geographic impact of Paulo C. Rech'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 Paulo C. Rech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo C. Rech more than expected).
Fields of papers citing papers by Paulo C. Rech
This network shows the impact of papers produced by Paulo C. Rech. 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 Paulo C. Rech. The network helps show where Paulo C. Rech may publish in the future.
Co-authorship network of co-authors of Paulo C. Rech
This figure shows the co-authorship network connecting the top 25 collaborators of Paulo C. Rech. A scholar is included among the top collaborators of Paulo C. Rech 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 Paulo C. Rech. Paulo C. Rech 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | CHAOS AND PERIODICITY IN A DISCRETE-TIME BAIER-SAHLE MODEL | 1 |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 67 | |
| 14 | 9 | |
| 15 | 40 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 11 |
About Paulo C. Rech
Paulo C. Rech is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos control and synchronization (78 papers), Nonlinear Dynamics and Pattern Formation (70 papers) and Quantum chaos and dynamical systems (60 papers). The work is most often cited by research in Statistical and Nonlinear Physics (897 citations), Computer Networks and Communications (727 citations) and Mathematical Physics (87 citations). Paulo C. Rech has collaborated with scholars based in Brazil, India and Germany. Frequent co-authors include Holokx A. Albuquerque, R. M. Rubinger, Jason A. C. Gallas, Marcus W. Beims, Márcia Russman Gallas, N. C. Pati, Rodrigo A. da Silva, G. C. Layek, Sudarshan Dhua and Abel André Cândido Recco. Their work appears in journals such as Physical Review Letters, Physics Letters A and Neurocomputing.
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.