Francesco Forte
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Economics and Econometrics top 10%
- Finance top 10%
- Co-authors
- Lorenzo MarconiRoberto NaldiAlessandro MacchelliTheo PeetersDieter BiehlDonald MacDougallMatteo FumagalliArvid Q. L. Keemink
- Topics
- Adaptive Control of Nonlinear Systems (6 papers)Robotic Path Planning Algorithms (4 papers)Advanced Control Systems Optimization (3 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Control Systems TechnologyIEEE Robotics & Automation Magazine
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Francesco Forte
14 papers receiving 333 citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 160
- Computer Vision and Pattern Recognition 113
- Aerospace Engineering 108
- Economics and Econometrics 74
- Finance 63
Countries citing papers authored by Francesco Forte
This map shows the geographic impact of Francesco Forte'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 Francesco Forte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Forte more than expected).
Fields of papers citing papers by Francesco Forte
This network shows the impact of papers produced by Francesco Forte. 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 Francesco Forte. The network helps show where Francesco Forte may publish in the future.
Co-authorship network of co-authors of Francesco Forte
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Forte. A scholar is included among the top collaborators of Francesco Forte 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 Francesco Forte. Francesco Forte 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 | 27 | |
| 3 | 31 | |
| 4 | 17 | |
| 5 | 120 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | Luigi Einaudi : il mercato e il buongoverno | 3 |
| 12 | Report of the study group on the role of public finance in European integration | 114 |
| 13 | Il sistema tributario | 4 |
| 14 | La congiuntura in Italia, 1961-1965 | 2 |
| 15 | 1 |
About Francesco Forte
Francesco Forte is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Accounting, having authored 15 papers that have together received 361 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (6 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (160 citations), Finance (63 citations) and Computer Vision and Pattern Recognition (113 citations). Francesco Forte has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Lorenzo Marconi, Roberto Naldi, Alessandro Macchelli, Theo Peeters, Dieter Biehl, Donald MacDougall, Matteo Fumagalli, Arvid Q. L. Keemink, Stefano Stramigioli and Raffaella Carloni. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology and IEEE Robotics & Automation Magazine.
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.