Alberto Broggi

9.0k total citations · 1 hit paper
163 papers, 6.5k citations indexed

About

Alberto Broggi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Alberto Broggi has authored 163 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 78 papers in Automotive Engineering and 37 papers in Aerospace Engineering. Recurrent topics in Alberto Broggi's work include Autonomous Vehicle Technology and Safety (76 papers), Video Surveillance and Tracking Methods (51 papers) and Advanced Vision and Imaging (43 papers). Alberto Broggi is often cited by papers focused on Autonomous Vehicle Technology and Safety (76 papers), Video Surveillance and Tracking Methods (51 papers) and Advanced Vision and Imaging (43 papers). Alberto Broggi collaborates with scholars based in Italy, United States and Germany. Alberto Broggi's co-authors include Massimo Bertozzi, A. Fascioli, Pietro Cerri, Paolo Grisleri, Paolo Medici, Abdelaziz Bensrhair, Paolo Zani, Pier Paolo Porta, G. Conte and Michael Del Rose and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Alberto Broggi

156 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection

1998 771 citations Massimo Bertozzi, Alberto Broggi IEEE Transactions on Image Processing profile →

Peers

Alberto Broggi

CVPR

AE

EEE

CSE

Massimo Bertozzi Italy

C. Thorpe United States

Miguel Ángel Sotelo Spain

Luis M. Bergasa Spain

Dariu M. Gavrila Netherlands

Klaus Dietmayer Germany

Dongpu Cao China

Philip Lenz Germany

Nikos Papanikolopoulos United States

Arturo de la Escalera Spain

Massimo Bertozzi Italy

Alberto Broggi

2.9k ×0.6

CVPR

2.2k ×0.6

AE

689 ×0.6

AE

400 ×0.5

EEE

421 ×0.6

CSE

Citations per year, relative to Alberto Broggi Alberto Broggi (= 1×) peers Massimo Bertozzi

Countries citing papers authored by Alberto Broggi

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Broggi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Broggi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

García, Fernando, Antonio Prioletti, Pietro Cerri, et al.. (2014). Visual feature tracking based on PHD filter for vehicle detection. e-Archivo (Carlos III University of Madrid). 1–6. 6 indexed citations

2.

Broggi, Alberto, et al.. (2011). Stereo obstacle detection in challenging environments: the VIAC experience. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations

3.

Bertozzi, Massimo, Alberto Broggi, Elena Cardarelli, et al.. (2010). The VisLab Intercontinental Autonomous Challenge: 13,000 km, 3 months,… no driver. 11 indexed citations

4.

Cattani, Stefano, et al.. (2010). Real time 3D terrain elevation mapping using ants Optimization Algorithm and stereo vision. 5. 902–909. 13 indexed citations

5.

Broggi, Alberto, et al.. (2007). The Oshkosh-VisLab Joint Efforts on UGVs: Architecture, Integration, and Results. Defense Technical Information Center (DTIC). 1 indexed citations

6.

Broggi, Alberto, C. Caraffi, Pier Paolo Porta, & Paolo Zani. (2006). The Single Frame Stereo Vision System for Reliable Obstacle Detection Used during the 2005 DARPA Grand Challenge on TerraMax. 745–752. 75 indexed citations

7.

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

8.

Özgüner, Ümi̇t, Keith Redmill, & Alberto Broggi. (2004). Team terramax and the DARPA grand challenge: a general overview. 232–237. 26 indexed citations

9.

Broggi, Alberto, et al.. (2004). Multi-resolution vehicle detection using artificial vision. 310–314. 76 indexed citations

10.

Bertozzi, Massimo, Alberto Broggi, Paolo Grisleri, T. Graf, & Marc-Michael Meinecke. (2004). Pedestrian detection in infrared images. 662–667. 81 indexed citations

11.

Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (2002). A stereo vision system for real-time automotive obstacle detection. 1. 681–684. 10 indexed citations

12.

Broggi, Alberto. (2002). A massively parallel approach to real-time vision-based road markings detection. 84–89. 40 indexed citations

13.

Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (2000). DEVELOPMENT AND TEST OF AN INTELLIGENT VEHICLE PROTOTYPE. 3 indexed citations

14.

Bertozzi, Massimo, Alberto Broggi, & A. Fascioli. (1999). Autonomous Vehicles. Linux journal. 1999(59). 3.

15.

Bertozzi, Massimo, et al.. (1998). Vision-based Automated Vehicle Guidance: the experience of the ARGO vehicle. 4 indexed citations

16.

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 →

17.

Broggi, Alberto, et al.. (1998). Design and Implementation of the PAPRICA Parallel Architecture. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 19(1). 5–18. 13 indexed citations

18.

Broggi, Alberto, et al.. (1998). Stereo inverse perspective mapping: theory and applications. Image and Vision Computing. 16(8). 585–590. 150 indexed citations

19.

Broggi, Alberto, et al.. (1993). PARALLEL IMAGE CLUSTERING : A REAL-TIME APPLICATION FOR A SPECIAL- PURPOSE ARCHITECTURE. 1. 2 indexed citations

20.

Broggi, Alberto, Vincenzo D’Andrea, & Francesco Gregoretti. (1992). A LOW-COST PARALLEL VLSI ARCHITECTURE FOR LOW-LEVEL VISION. Machine Vision and Applications. 11–16. 6 indexed citations

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.

Explore authors with similar magnitude of impact