Marco Forgione
- Control and Systems Engineering top 5%
- Endocrinology, Diabetes and Metabolism
- Surgery
- Artificial Intelligence
- Genetics
- Co-authors
- Dario PigaPaul M.J. Van den HofXavier BomboisLoris RovedaGiuseppe De NicolaoChiara ToffaninLalo MagniChiara Dalla Man
- Topics
- Fault Detection and Control Systems (16 papers)Control Systems and Identification (16 papers)Advanced Control Systems Optimization (10 papers)
- Cited by
- Control and Systems EngineeringEndocrinology, Diabetes and MetabolismStatistics, Probability and Uncertainty
- Partner nations
- SwitzerlandNetherlandsFrance
In The Last Decade
Marco Forgione
27 papers receiving 334 citations
Peers
Comparison fields: 5 of 58
- Control and Systems Engineering 201
- Endocrinology, Diabetes and Metabolism 74
- Surgery 70
- Artificial Intelligence 69
- Genetics 46
Countries citing papers authored by Marco Forgione
This map shows the geographic impact of Marco Forgione'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 Forgione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Forgione more than expected).
Fields of papers citing papers by Marco Forgione
This network shows the impact of papers produced by Marco Forgione. 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 Forgione. The network helps show where Marco Forgione may publish in the future.
Co-authorship network of co-authors of Marco Forgione
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Forgione. A scholar is included among the top collaborators of Marco Forgione 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 Forgione. Marco Forgione is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 43 | |
| 17 | 26 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 16 |
About Marco Forgione
Marco Forgione is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 35 papers that have together received 346 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (16 papers), Control Systems and Identification (16 papers) and Advanced Control Systems Optimization (10 papers). The work is most often cited by research in Control and Systems Engineering (201 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Statistics, Probability and Uncertainty (21 citations). Marco Forgione has collaborated with scholars based in Switzerland, Netherlands and France. Frequent co-authors include Dario Piga, Paul M.J. Van den Hof, Xavier Bombois, Loris Roveda, Giuseppe De Nicolao, Chiara Toffanin, Lalo Magni, Chiara Dalla Man, Claudio Cobelli and Boris Kovatchev. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and International Journal of Control.
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.