Maide Bucolo
Impact in
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- Chaos control and synchronization
- Nonlinear Photonic Systems
- Nonlinear Waves and Solitons
- Modeling and Simulation top 5%
Papers in
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- Chaos control and synchronization 15
- stochastic dynamics and bifurcation 12
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- Neural dynamics and brain function 24
- EEG and Brain-Computer Interfaces 12
- Co-authors
- Luigi FortunaArturo BuscarinoSalvina GaglianoMattia FrascaFrancesca SapuppoAlessandro RizzoRiccardo CaponettoPaolo Arena
- Journals
- International Journal of Bifurcation and Chaos (7 papers)Microfluidics and Nanofluidics (4 papers)IEEE Access (4 papers)Polymers (4 papers)Chaos Solitons & Fractals (3 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Maide Bucolo
118 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Statistical and Nonlinear Physics 226
- Modeling and Simulation 49
- Biomedical Engineering 397
- Control and Systems Engineering 203
- Computer Networks and Communications 157
Countries citing papers authored by Maide Bucolo
This map shows the geographic impact of Maide Bucolo'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 Maide Bucolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maide Bucolo more than expected).
Fields of papers citing papers by Maide Bucolo
This network shows the impact of papers produced by Maide Bucolo. 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 Maide Bucolo. The network helps show where Maide Bucolo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maide Bucolo, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2008 | 0 | |
| 13 | 2007 | 0 | |
| 14 | 2007 | 1 | |
| 15 | 2007 | 1 | |
| 16 | 2007 | 1 | |
| 17 | 2006 | 10 | |
| 18 | 2005 | 4 | |
| 19 | 2005 | 1 | |
| 20 | 2002 | 27 |
About Maide Bucolo
Maide Bucolo is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Biomedical Engineering, Computer Networks and Communications and Signal Processing, having authored 125 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (29 papers), Innovative Microfluidic and Catalytic Techniques Innovation (28 papers), Neural dynamics and brain function (24 papers), Neural Networks and Applications (16 papers), Chaos control and synchronization (15 papers), Neural Networks Stability and Synchronization (13 papers), stochastic dynamics and bifurcation (12 papers) and EEG and Brain-Computer Interfaces (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (226 citations), Modeling and Simulation (49 citations), Biomedical Engineering (397 citations), Control and Systems Engineering (203 citations) and Computer Networks and Communications (157 citations). Maide Bucolo has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Luigi Fortuna, Arturo Buscarino, Salvina Gagliano, Mattia Frasca, Francesca Sapuppo, Alessandro Rizzo, Riccardo Caponetto, Paolo Arena, Marcos Intaglietta and P. Arena. Their work appears in journals such as International Journal of Bifurcation and Chaos, Microfluidics and Nanofluidics, IEEE Access, Polymers 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.