Mauro Forti
- Computer Networks and Communications top 0.2%
- Statistical and Nonlinear Physics top 0.2%
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 0.5%
- Control and Systems Engineering top 2%
- Co-authors
- Paolo NistriA. TesiLuca PancioniMauro Di MarcoFernando CorintoDuccio PapiniMauro MariniS. Manetti
- Topics
- Neural Networks Stability and Synchronization (73 papers)Advanced Memory and Neural Computing (68 papers)stochastic dynamics and bifurcation (58 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ItalyHungaryUnited States
In The Last Decade
Mauro Forti
115 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 2.8k
- Statistical and Nonlinear Physics 1.7k
- Electrical and Electronic Engineering 1.6k
- Artificial Intelligence 1.6k
- Control and Systems Engineering 432
Countries citing papers authored by Mauro Forti
This map shows the geographic impact of Mauro Forti'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 Mauro Forti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Forti more than expected).
Fields of papers citing papers by Mauro Forti
This network shows the impact of papers produced by Mauro Forti. 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 Mauro Forti. The network helps show where Mauro Forti may publish in the future.
Co-authorship network of co-authors of Mauro Forti
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Forti. A scholar is included among the top collaborators of Mauro Forti 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 Mauro Forti. Mauro Forti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 24 | |
| 14 | 15 | |
| 15 | 47 | |
| 16 | 2 | |
| 17 | 66 | |
| 18 | 79 | |
| 19 | 129 | |
| 20 | 4 |
About Mauro Forti
Mauro Forti is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 128 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (73 papers), Advanced Memory and Neural Computing (68 papers) and stochastic dynamics and bifurcation (58 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Computer Networks and Communications (2.8k citations) and Artificial Intelligence (1.6k citations). Mauro Forti has collaborated with scholars based in Italy, Hungary and United States. Frequent co-authors include Paolo Nistri, A. Tesi, Luca Pancioni, Mauro Di Marco, Fernando Corinto, Duccio Papini, Mauro Marini, S. Manetti, Marc Quincampoix and Massimiliano Grazzini. Their work appears in journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Cybernetics.
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.