Roberto C. Budzinski
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Neural dynamics and brain function 24
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- stochastic dynamics and bifurcation 19
- Chaos control and synchronization 4
- Co-authors
- S. R. Lopes (19 shared papers)B. R. R. Boaretto (22 shared papers)Thiago de Lima Prado (18 shared papers)Jürgen Kurths (4 shared papers)Cristina Masoller (4 shared papers)Lyle Muller (12 shared papers)Ján Mináč (6 shared papers)Elbert E. N. Macau (2 shared papers)
In The Last Decade
Roberto C. Budzinski
31 papers receiving 320 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 202
- Cognitive Neuroscience 227
- Computer Networks and Communications 188
- Cellular and Molecular Neuroscience 40
- Signal Processing 16
Countries citing papers authored by Roberto C. Budzinski
This map shows the geographic impact of Roberto C. Budzinski'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 Roberto C. Budzinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto C. Budzinski more than expected).
Fields of papers citing papers by Roberto C. Budzinski
This network shows the impact of papers produced by Roberto C. Budzinski. 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 Roberto C. Budzinski. The network helps show where Roberto C. Budzinski may publish in the future.
Co-authors
The 24 scholars most cited alongside Roberto C. Budzinski, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 29 | |
| 2 | 2021 | 24 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2025 | 5 |
About Roberto C. Budzinski
Roberto C. Budzinski is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Biomedical Engineering and Artificial Intelligence, having authored 33 papers that have together received 325 indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Nonlinear Dynamics and Pattern Formation (22 papers), stochastic dynamics and bifurcation (19 papers), Slime Mold and Myxomycetes Research (5 papers), Chaos control and synchronization (4 papers), Neuroscience and Neural Engineering (2 papers), Complex Systems and Time Series Analysis (2 papers) and Neural Networks Stability and Synchronization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (202 citations), Cognitive Neuroscience (227 citations), Computer Networks and Communications (188 citations), Cellular and Molecular Neuroscience (40 citations) and Signal Processing (16 citations). Roberto C. Budzinski has collaborated with scholars based in Brazil, Canada and Germany. Frequent co-authors include S. R. Lopes, B. R. R. Boaretto, Thiago de Lima Prado, Jürgen Kurths, Cristina Masoller, Lyle Muller, Ján Mináč, Elbert E. N. Macau, Terrence J. Sejnowski and Ulrike Feudel. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, Physica A Statistical Mechanics and its Applications, Physical Review Research and Chaos Solitons & Fractals.
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.