Mauro Bellone

73 total papers · 1.1k total citations
36 papers, 602 citations indexed

About

Mauro Bellone is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Mauro Bellone has authored 36 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Automotive Engineering, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Aerospace Engineering. Recurrent topics in Mauro Bellone's work include Autonomous Vehicle Technology and Safety (13 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and LiDAR Applications (7 papers). Mauro Bellone is often cited by papers focused on Autonomous Vehicle Technology and Safety (13 papers), Robotics and Sensor-Based Localization (12 papers) and Remote Sensing and LiDAR Applications (7 papers). Mauro Bellone collaborates with scholars based in Estonia, Sweden and Italy. Mauro Bellone's co-authors include Mattias Wahde, Luca Caltagirone, Lennart Svensson, Giulio Reina, Nicola Ivan Giannoccaro, Luigi Spedicato, Raivo Sell, Jose‐Luis Blanco, A. Giménez and Arcangelo Messina and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Mauro Bellone

32 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Mauro Bellone 294 247 161 120 69 36 602
Vincent Frémont 390 1.3× 157 0.6× 221 1.4× 83 0.7× 52 0.8× 61 673
Alberto Hata 245 0.8× 285 1.2× 246 1.5× 203 1.7× 84 1.2× 22 695
Alireza Asvadi 380 1.3× 230 0.9× 215 1.3× 185 1.5× 47 0.7× 18 632
Tirthankar Bandyopadhyay 324 1.1× 197 0.8× 247 1.5× 95 0.8× 129 1.9× 41 680
Alen Alempijevic 281 1.0× 100 0.4× 172 1.1× 47 0.4× 59 0.9× 46 598
Mengmeng Yang 223 0.8× 111 0.4× 165 1.0× 77 0.6× 54 0.8× 67 697
Naoki Suganuma 264 0.9× 276 1.1× 202 1.3× 123 1.0× 73 1.1× 72 553
Yifeng Shi 376 1.3× 171 0.7× 125 0.8× 72 0.6× 43 0.6× 18 555
Takashi Naito 358 1.2× 225 0.9× 119 0.7× 120 1.0× 34 0.5× 35 557
Luís Garrote 294 1.0× 140 0.6× 145 0.9× 75 0.6× 59 0.9× 38 501

Countries citing papers authored by Mauro Bellone

Since Specialization
Citations

This map shows the geographic impact of Mauro Bellone'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 Mauro Bellone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Bellone more than expected).

Fields of papers citing papers by Mauro Bellone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Bellone. 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 Mauro Bellone. The network helps show where Mauro Bellone may publish in the future.

Co-authorship network of co-authors of Mauro Bellone

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Bellone. A scholar is included among the top collaborators of Mauro Bellone 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 Mauro Bellone. Mauro Bellone 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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