Mario Valenti

18 total papers · 1.1k total citations
13 papers, 738 citations indexed

About

Mario Valenti is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Mario Valenti has authored 13 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 4 papers in Automotive Engineering. Recurrent topics in Mario Valenti's work include Robotic Path Planning Algorithms (9 papers), Aerospace Engineering and Control Systems (3 papers) and Air Traffic Management and Optimization (3 papers). Mario Valenti is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Aerospace Engineering and Control Systems (3 papers) and Air Traffic Management and Optimization (3 papers). Mario Valenti collaborates with scholars based in United States and Australia. Mario Valenti's 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 and has published in prestigious journals such as Journal of Guidance Control and Dynamics, IEEE Robotics & Automation Magazine and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.

In The Last Decade

Mario Valenti

13 papers receiving 690 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mario Valenti	492	357	248	164	94	13	738
Yuesong Mei	554 1.1×	539 1.5×	360 1.5×	206 1.3×	109 1.2×	18	904
Jianfa Wu	543 1.1×	334 0.9×	305 1.2×	190 1.2×	157 1.7×	37	898
Luqi Wang	469 1.0×	549 1.5×	175 0.7×	80 0.5×	71 0.8×	24	729
Tomáš Fico	368 0.7×	528 1.5×	318 1.3×	101 0.6×	88 0.9×	9	765
Alejandro Rodríguez-Ramos	499 1.0×	518 1.5×	155 0.6×	142 0.9×	189 2.0×	18	904
Wendong Gai	358 0.7×	402 1.1×	275 1.1×	133 0.8×	153 1.6×	32	780
Randy Beard	390 0.8×	294 0.8×	138 0.6×	320 2.0×	116 1.2×	26	645
Chad Goerzen	454 0.9×	508 1.4×	142 0.6×	113 0.7×	44 0.5×	16	641
Philipp Foehn	313 0.6×	359 1.0×	383 1.5×	116 0.7×	89 0.9×	12	731
Michael Kaßecker	466 0.9×	384 1.1×	223 0.9×	132 0.8×	81 0.9×	8	741

Countries citing papers authored by Mario Valenti

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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