Mario Valenti
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jonathan P. HowBrett BethkeÉric FéronDaniel S. LevineJohn VianGaston FioreDaniela Pucci de FariasTom Schouwenaars
- Topics
- Robotic Path Planning Algorithms (8 papers)Aerospace Engineering and Control Systems (3 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Journal of Guidance Control and DynamicsIEEE Robotics & Automation MagazineProceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Partner nations
- United StatesAustralia
In The Last Decade
Mario Valenti
13 papers receiving 690 citations
Peers
Comparison fields: 5 of 55
- Aerospace Engineering 494
- Computer Vision and Pattern Recognition 355
- Control and Systems Engineering 246
- Computer Networks and Communications 164
- Artificial Intelligence 94
Countries citing papers authored by Mario Valenti
This map shows the geographic impact of Mario Valenti'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 Mario Valenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Valenti more than expected).
Fields of papers citing papers by Mario Valenti
This network shows the impact of papers produced by Mario Valenti. 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 Mario Valenti. The network helps show where Mario Valenti may publish in the future.
Co-authorship network of co-authors of Mario Valenti
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Valenti. A scholar is included among the top collaborators of Mario Valenti 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 Mario Valenti. Mario Valenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | 56 | |
| 3 | 26 | |
| 4 | 45 | |
| 5 | 144 | |
| 6 | 58 | |
| 7 | 18 | |
| 8 | 132 | |
| 9 | 90 | |
| 10 | 37 | |
| 11 | 26 | |
| 12 | 15 | |
| 13 | 7 |
About Mario Valenti
Mario Valenti is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 13 papers that have together received 738 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Aerospace Engineering and Control Systems (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Aerospace Engineering (494 citations), Computer Vision and Pattern Recognition (355 citations) and Control and Systems Engineering (246 citations). Mario Valenti has collaborated with scholars based in United States and Australia. Frequent co-authors include Jonathan P. How, Brett Bethke, Éric Féron, Daniel S. Levine, John Vian, Gaston Fiore, Daniela Pucci de Farias, Tom Schouwenaars, Yoshiaki Kuwata and Ellen T. Roche. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Robotics & Automation Magazine and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.