Massimo Bertozzi

5.3k total citations · 1 hit paper
80 papers, 3.8k citations indexed

About

Massimo Bertozzi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Massimo Bertozzi has authored 80 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 42 papers in Automotive Engineering and 21 papers in Aerospace Engineering. Recurrent topics in Massimo Bertozzi's work include Autonomous Vehicle Technology and Safety (39 papers), Video Surveillance and Tracking Methods (26 papers) and Advanced Vision and Imaging (22 papers). Massimo Bertozzi is often cited by papers focused on Autonomous Vehicle Technology and Safety (39 papers), Video Surveillance and Tracking Methods (26 papers) and Advanced Vision and Imaging (22 papers). Massimo Bertozzi collaborates with scholars based in Italy, United States and France. Massimo Bertozzi's co-authors include Alberto Broggi, A. Fascioli, Michael Del Rose, G. Conte, Aurelio Piazzi, Corrado Guarino Lo Bianco, Marc-Michael Meinecke, Mirko Felisa, Pietro Cerri and T. Graf and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Massimo Bertozzi

77 papers receiving 3.5k citations

Hit Papers

GOLD: a parallel real-time stereo vision system for gener... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Bertozzi Italy 32 2.9k 2.2k 689 421 400 80 3.8k
Alberto Broggi Italy 43 4.8k 1.7× 3.6k 1.7× 1.2k 1.7× 736 1.7× 775 1.9× 163 6.5k
C. Thorpe United States 35 3.4k 1.2× 1.5k 0.7× 1.9k 2.7× 1.0k 2.4× 512 1.3× 121 5.5k
A. Fascioli Italy 21 1.6k 0.5× 1.1k 0.5× 341 0.5× 279 0.7× 215 0.5× 40 2.0k
Ernst D. Dickmanns Germany 23 1.7k 0.6× 1.3k 0.6× 801 1.2× 452 1.1× 222 0.6× 80 2.5k
Arturo de la Escalera Spain 30 2.3k 0.8× 757 0.3× 998 1.4× 346 0.8× 453 1.1× 130 3.6k
José María Armingol Spain 30 2.1k 0.7× 833 0.4× 771 1.1× 271 0.6× 526 1.3× 135 3.4k
Fawzi Nashashibi France 25 1.8k 0.6× 1.9k 0.9× 676 1.0× 1.0k 2.4× 490 1.2× 90 3.5k
David Fernández Llorca Spain 31 1.4k 0.5× 1.2k 0.5× 363 0.5× 293 0.7× 316 0.8× 120 2.9k
Myoungho Sunwoo South Korea 34 1.2k 0.4× 2.7k 1.2× 765 1.1× 1.3k 3.2× 825 2.1× 249 4.6k
Philip Lenz Germany 4 4.4k 1.5× 1.1k 0.5× 2.3k 3.3× 168 0.4× 435 1.1× 5 5.9k

Countries citing papers authored by Massimo Bertozzi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Bertozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Bertozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Bertozzi. A scholar is included among the top collaborators of Massimo Bertozzi 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 Massimo Bertozzi. Massimo Bertozzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ferrari, Claudio, et al.. (2025). Semantic Image Synthesis via Class-Adaptive Cross-Attention. IEEE Access. 13. 10326–10339. 1 indexed citations
2.
Bertozzi, Massimo, et al.. (2025). Swin2‐MoSE: A new single image supersolution model for remote sensing. IET Image Processing. 19(1). 1 indexed citations
3.
Ferrari, Claudio, et al.. (2025). MARS: Paying More Attention to Visual Attributes for Text-Based Person Search. ACM Transactions on Multimedia Computing Communications and Applications. 21(10). 1–22. 4 indexed citations
4.
Bertozzi, Massimo, et al.. (2024). Masked Style Transfer for Source-Coherent Image-to-Image Translation. Applied Sciences. 14(17). 7876–7876.
5.
Rucco, Alessandro, et al.. (2024). A Hybrid Approach Combining Upper-Level Policy Search and MPC for Lane Change of Autonomous Vehicles. 3156–3163. 1 indexed citations
6.
Ferrari, Claudio, Giuseppe Lisanti, Leonardo Galteri, et al.. (2023). FrankenMask: Manipulating semantic masks with transformers for face parts editing. Pattern Recognition Letters. 176. 14–20. 3 indexed citations
7.
Bertozzi, Massimo, et al.. (2023). Unsupervised Discovery and Manipulation of Continuous Disentangled Factors of Variation. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–25. 1 indexed citations
8.
Rucco, Alessandro, et al.. (2023). A real-time collision-free maneuver generation algorithm for autonomous driving. European Journal of Control. 74. 100865–100865. 2 indexed citations
9.
Bertozzi, Massimo, et al.. (2015). 360° Detection and tracking algorithm of both pedestrian and vehicle using fisheye images. 132–137. 50 indexed citations
10.
Bertozzi, Massimo, Alberto Broggi, Elena Cardarelli, et al.. (2010). The VisLab Intercontinental Autonomous Challenge: 13,000 km, 3 months,… no driver. 11 indexed citations
11.
Bertozzi, Massimo, Pietro Cerri, Mirko Felisa, Stefano Ghidoni, & Michael Del Rose. (2010). Pedestrian Validation in Infrared Images by Means of Active Contours and Neural Networks. EURASIP Journal on Advances in Signal Processing. 2010(1). 5 indexed citations
12.
Bertozzi, Massimo, et al.. (2008). Obstacle detection and classification fusing radar and vision. 608–613. 62 indexed citations
13.
Toulminet, Gwenaëlle, Massimo Bertozzi, Stéphane Mousset, Abdelaziz Bensrhair, & Alberto Broggi. (2006). Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis. IEEE Transactions on Image Processing. 15(8). 2364–2375. 93 indexed citations
14.
Bertozzi, Massimo, Alberto Broggi, Paolo Grisleri, T. Graf, & Marc-Michael Meinecke. (2004). Pedestrian detection in infrared images. 662–667. 81 indexed citations
15.
Bertozzi, Massimo, A. Fascioli, & Alberto Broggi. (2003). Performance analysis of a low-cost solution to vision-based obstacle detection. 350–355. 5 indexed citations
16.
Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (2002). A stereo vision system for real-time automotive obstacle detection. 1. 681–684. 10 indexed citations
17.
Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (2000). DEVELOPMENT AND TEST OF AN INTELLIGENT VEHICLE PROTOTYPE. 3 indexed citations
18.
Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (1999). Autonomous Vehicles. Linux journal. 1999(59). 3.
19.
Bertozzi, Massimo, et al.. (1998). Vision-based Automated Vehicle Guidance: the experience of the ARGO vehicle. 4 indexed citations
20.
Bertozzi, Massimo & Alberto Broggi. (1998). GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Transactions on Image Processing. 7(1). 62–81. 771 indexed citations breakdown →

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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