Marco C. Campi
- Control and Systems Engineering top 0.1%
- Management Science and Operations Research top 0.2%
- Statistics, Probability and Uncertainty top 0.1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- Simone GarattiGiuseppe C. CalafioreSergio M. SavaresiA. LecchiniErik WeyerMaria PrandiniS. BittantiAlgo Carè
- Topics
- Control Systems and Identification (110 papers)Fault Detection and Control Systems (74 papers)Advanced Control Systems Optimization (49 papers)
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
Marco C. Campi
176 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Control and Systems Engineering 4.0k
- Management Science and Operations Research 1.3k
- Statistics, Probability and Uncertainty 1.1k
- Electrical and Electronic Engineering 732
- Artificial Intelligence 729
Countries citing papers authored by Marco C. Campi
This map shows the geographic impact of Marco C. Campi'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 Marco C. Campi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco C. Campi more than expected).
Fields of papers citing papers by Marco C. Campi
This network shows the impact of papers produced by Marco C. Campi. 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 Marco C. Campi. The network helps show where Marco C. Campi may publish in the future.
Co-authorship network of co-authors of Marco C. Campi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco C. Campi. A scholar is included among the top collaborators of Marco C. Campi 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 Marco C. Campi. Marco C. Campi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 48 | |
| 9 | 67 | |
| 10 | 6 | |
| 11 | 41 | |
| 12 | 14 | |
| 13 | 41 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | ADAPTIVE CONTROL OF LINEAR TIME INVARIANT SYSTEMS: THE "BET ON THE BEST" PRINCIPLE ∗ | 8 |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 4 |
About Marco C. Campi
Marco C. Campi is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Management Science and Operations Research, having authored 187 papers that have together received 6.2k indexed citations. Recurring topics across this work include Control Systems and Identification (110 papers), Fault Detection and Control Systems (74 papers) and Advanced Control Systems Optimization (49 papers). The work is most often cited by research in Control and Systems Engineering (4.0k citations), Statistics, Probability and Uncertainty (1.1k citations) and Management Science and Operations Research (1.3k citations). Marco C. Campi has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Simone Garatti, Giuseppe C. Calafiore, Sergio M. Savaresi, A. Lecchini, Erik Weyer, Maria Prandini, S. Bittanti, Algo Carè, Paolo Bolzern and Balázs Csanád Csáji. 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.