R. Zoppoli
- Control and Systems Engineering top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Ocean Engineering top 5%
- Co-authors
- Thomas ParisiniMarcello SanguinetiMarco BagliettoA. AlessandriAngela Di FebbraroSimona SaconeR. MinciardiMauro Gaggero
- Topics
- Neural Networks and Applications (31 papers)Fault Detection and Control Systems (18 papers)Control Systems and Identification (18 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
R. Zoppoli
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 740
- Artificial Intelligence 307
- Computer Networks and Communications 144
- Electrical and Electronic Engineering 114
- Ocean Engineering 95
Countries citing papers authored by R. Zoppoli
This map shows the geographic impact of R. Zoppoli'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 R. Zoppoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Zoppoli more than expected).
Fields of papers citing papers by R. Zoppoli
This network shows the impact of papers produced by R. Zoppoli. 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 R. Zoppoli. The network helps show where R. Zoppoli may publish in the future.
Co-authorship network of co-authors of R. Zoppoli
This figure shows the co-authorship network connecting the top 25 collaborators of R. Zoppoli. A scholar is included among the top collaborators of R. Zoppoli 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 R. Zoppoli. R. Zoppoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 43 | |
| 9 | 38 | |
| 10 | 6 | |
| 11 | 62 | |
| 12 | 2 | |
| 13 | Neural networks for the solution of information-distributed optimal control problems. | 1 |
| 14 | 41 | |
| 15 | 28 | |
| 16 | 69 | |
| 17 | Team theory and neural networks for dynamic routing in traffic and communication networks | 8 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 2 |
About R. Zoppoli
R. Zoppoli is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (31 papers), Fault Detection and Control Systems (18 papers) and Control Systems and Identification (18 papers). The work is most often cited by research in Control and Systems Engineering (740 citations), Numerical Analysis (55 citations) and Artificial Intelligence (307 citations). R. Zoppoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Thomas Parisini, Marcello Sanguineti, Marco Baglietto, A. Alessandri, Angela Di Febbraro, Simona Sacone, R. Minciardi, Mauro Gaggero, Giuseppe Casalino and Franco Davoli. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and European Journal of Operational Research.
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.