Giacomo Innocenti
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 5%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- R. GenesioDonatello MaterassiA. TesiAlessandro TorciniAlice MorelliMauro FortiMauro Di MarcoMichele Basso
- Topics
- Advanced Memory and Neural Computing (23 papers)stochastic dynamics and bifurcation (22 papers)Neural dynamics and brain function (20 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Giacomo Innocenti
93 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Statistical and Nonlinear Physics 408
- Electrical and Electronic Engineering 283
- Cognitive Neuroscience 261
- Computer Networks and Communications 243
- Molecular Biology 229
Countries citing papers authored by Giacomo Innocenti
This map shows the geographic impact of Giacomo Innocenti'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 Giacomo Innocenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Innocenti more than expected).
Fields of papers citing papers by Giacomo Innocenti
This network shows the impact of papers produced by Giacomo Innocenti. 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 Giacomo Innocenti. The network helps show where Giacomo Innocenti may publish in the future.
Co-authorship network of co-authors of Giacomo Innocenti
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Innocenti. A scholar is included among the top collaborators of Giacomo Innocenti 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 Giacomo Innocenti. Giacomo Innocenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | DART Project: A High Precision UAV Prototype Exploiting On-board Visual Sensing | 6 |
| 18 | 7 | |
| 19 | 29 | |
| 20 | 24 |
About Giacomo Innocenti
Giacomo Innocenti is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 99 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), stochastic dynamics and bifurcation (22 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (408 citations), Cognitive Neuroscience (261 citations) and Computer Networks and Communications (243 citations). Giacomo Innocenti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include R. Genesio, Donatello Materassi, A. Tesi, Alessandro Torcini, Alice Morelli, Mauro Forti, Mauro Di Marco, Michele Basso, E. M. Cappelletti and G. Caporale. Their work appears in journals such as IEEE Transactions on Automatic Control, The American Naturalist and Automatica.
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.