Luca Gentili
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Mechanical Engineering
- Co-authors
- Lorenzo MarconiRoberto NaldiClaudio BoniventoAndrea PaoliArjan van der SchaftClaudio MelchiorriAlessandro MacchelliBrad Paden
- Topics
- Adaptive Control of Nonlinear Systems (12 papers)Control and Stability of Dynamical Systems (8 papers)Magnetic Bearings and Levitation Dynamics (6 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Luca Gentili
22 papers receiving 373 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 319
- Aerospace Engineering 149
- Computer Vision and Pattern Recognition 125
- Computer Networks and Communications 52
- Mechanical Engineering 42
Countries citing papers authored by Luca Gentili
This map shows the geographic impact of Luca Gentili'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 Luca Gentili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Gentili more than expected).
Fields of papers citing papers by Luca Gentili
This network shows the impact of papers produced by Luca Gentili. 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 Luca Gentili. The network helps show where Luca Gentili may publish in the future.
Co-authorship network of co-authors of Luca Gentili
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Gentili. A scholar is included among the top collaborators of Luca Gentili 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 Luca Gentili. Luca Gentili 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 | 89 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 90 | |
| 6 | 11 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 32 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 35 | |
| 19 | 2 | |
| 20 | 5 |
About Luca Gentili
Luca Gentili is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 23 papers that have together received 383 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (12 papers), Control and Stability of Dynamical Systems (8 papers) and Magnetic Bearings and Levitation Dynamics (6 papers). The work is most often cited by research in Control and Systems Engineering (319 citations), Computer Vision and Pattern Recognition (125 citations) and Aerospace Engineering (149 citations). Luca Gentili has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Lorenzo Marconi, Roberto Naldi, Claudio Bonivento, Andrea Paoli, Arjan van der Schaft, Claudio Melchiorri, Alessandro Macchelli and Brad Paden. Their work appears in journals such as Automatica, IEEE Transactions on Control Systems Technology and Control Engineering Practice.
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.