Luca Consolini
Impact in
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- Control and Dynamics of Mobile Robots
- Adaptive Control of Nonlinear Systems
- Dynamics and Control of Mechanical Systems
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
Papers in
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- Control and Dynamics of Mobile Robots 41
- Adaptive Control of Nonlinear Systems 26
- Dynamics and Control of Mechanical Systems 20
- Robotic Mechanisms and Dynamics 14
- Iterative Learning Control Systems 11
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- Robotic Path Planning Algorithms 32
- Co-authors
- Mario TosquesDomenico PrattichizzoFabio MorbidiManfredi MaggioreAurelio PiazziMarco LocatelliCristiano Maria VerrelliChristopher Nielsen
In The Last Decade
Luca Consolini
102 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 1.0k
- Computer Networks and Communications 606
- Computer Vision and Pattern Recognition 402
- Automotive Engineering 103
- Aerospace Engineering 172
Countries citing papers authored by Luca Consolini
This map shows the geographic impact of Luca Consolini'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 Consolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Consolini more than expected).
Fields of papers citing papers by Luca Consolini
This network shows the impact of papers produced by Luca Consolini. 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 Consolini. The network helps show where Luca Consolini may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Consolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 11 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2009 | 9 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 23 | |
| 17 | 2007 | 7 | |
| 18 | 2006 | 18 | |
| 19 | 2004 | 3 | |
| 20 | 2004 | 3 |
About Luca Consolini
Luca Consolini is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Developmental Neuroscience, Numerical Analysis and Anesthesiology and Pain Medicine, having authored 111 papers that have together received 1.4k indexed citations. Recurring topics across this work include Control and Dynamics of Mobile Robots (41 papers), Robotic Path Planning Algorithms (32 papers), Adaptive Control of Nonlinear Systems (26 papers), Dynamics and Control of Mechanical Systems (20 papers), Robotic Locomotion and Control (17 papers), Robotic Mechanisms and Dynamics (14 papers), Guidance and Control Systems (14 papers) and Iterative Learning Control Systems (11 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Computer Networks and Communications (606 citations), Computer Vision and Pattern Recognition (402 citations), Automotive Engineering (103 citations) and Aerospace Engineering (172 citations). Luca Consolini has collaborated with scholars based in Italy, Canada and Austria. Frequent co-authors include Mario Tosques, Domenico Prattichizzo, Fabio Morbidi, Manfredi Maggiore, Aurelio Piazzi, Marco Locatelli, Cristiano Maria Verrelli, Christopher Nielsen, Emilio Lorenzani and Giampaolo Buticchi. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, Computational Optimization and Applications, IEEE Transactions on Automation Science and Engineering and IEEE Transactions on Robotics.
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.