Mario Biey
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Ljupčo KocarevA. PremoliIgor MishkovskiMarco GilliMarco RigheroFernando CorintoGiuseppe Da PratoRoberto Merletti
- Topics
- Nonlinear Dynamics and Pattern Formation (22 papers)Neural Networks Stability and Synchronization (19 papers)stochastic dynamics and bifurcation (16 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringPhysica A Statistical Mechanics and its ApplicationsElectronics Letters
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Mario Biey
56 papers receiving 368 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 184
- Statistical and Nonlinear Physics 178
- Electrical and Electronic Engineering 80
- Cognitive Neuroscience 70
- Biomedical Engineering 62
Countries citing papers authored by Mario Biey
This map shows the geographic impact of Mario Biey'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 Mario Biey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Biey more than expected).
Fields of papers citing papers by Mario Biey
This network shows the impact of papers produced by Mario Biey. 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 Mario Biey. The network helps show where Mario Biey may publish in the future.
Co-authorship network of co-authors of Mario Biey
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Biey. A scholar is included among the top collaborators of Mario Biey 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 Mario Biey. Mario Biey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | An efficient algorithm for the evaluation of master stability function in networks of coupled oscillators | 2 |
| 8 | 1 | |
| 9 | 27 | |
| 10 | Non-linear coupled CNN models for multiscale image analysis: Research Articles | 1 |
| 11 | Information Processing in Networks of Coupled Hindmarsh-Rose Neurons | 6 |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | Tables for Active Filter Design: Based on Cauer MCPER Functions | 1 |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 0 |
About Mario Biey
Mario Biey is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 62 papers that have together received 392 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural Networks Stability and Synchronization (19 papers) and stochastic dynamics and bifurcation (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (178 citations), Computer Networks and Communications (184 citations) and Signal Processing (47 citations). Mario Biey has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Ljupčo Kocarev, A. Premoli, Igor Mishkovski, Marco Gilli, Marco Righero, Fernando Corinto, Giuseppe Da Prato, Roberto Merletti, Leon O. Chua and Martin Hasler. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physica A Statistical Mechanics and its Applications and Electronics Letters.
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.