C. Caraffi

705 total citations
10 papers, 530 citations indexed

About

C. Caraffi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, C. Caraffi has authored 10 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Aerospace Engineering. Recurrent topics in C. Caraffi's work include Video Surveillance and Tracking Methods (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Robotics and Sensor-Based Localization (4 papers). C. Caraffi is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Robotics and Sensor-Based Localization (4 papers). C. Caraffi collaborates with scholars based in Italy, Switzerland and United States. C. Caraffi's co-authors include Alberto Broggi, Paolo Grisleri, Pier Paolo Porta, Rean Isabella Fedriga, Silvia Cattani, Paolo Zani, J Šochman, Jiřı́ Matas, Michael Del Rose and Massimo Bertozzi and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Vision and Image Understanding and Padua Research Archive (University of Padova).

In The Last Decade

C. Caraffi

10 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Caraffi Italy	9	421	257	150	72	63	10	530
Chunzhao Guo Japan	13	380 0.9×	343 1.3×	125 0.8×	125 1.7×	58 0.9×	43	611
Takashi Naito Japan	13	358 0.9×	225 0.9×	119 0.8×	120 1.7×	59 0.9×	35	557
Paolo Zani Italy	14	360 0.9×	323 1.3×	139 0.9×	59 0.8×	62 1.0×	19	505
Pier Paolo Porta Italy	12	347 0.8×	216 0.8×	84 0.6×	48 0.7×	71 1.1×	17	466
D. Aubert France	13	656 1.6×	375 1.5×	203 1.4×	125 1.7×	77 1.2×	25	865
Ronen Lerner Israel	5	434 1.0×	470 1.8×	129 0.9×	175 2.4×	42 0.7×	8	620
Stefan Müller-Schneiders Germany	13	300 0.7×	168 0.7×	64 0.4×	59 0.8×	29 0.5×	25	385
Naoki Suganuma Japan	12	265 0.6×	279 1.1×	204 1.4×	124 1.7×	88 1.4×	72	561
Jon Arróspide Spain	11	326 0.8×	175 0.7×	63 0.4×	31 0.4×	38 0.6×	18	395
Tobias Kühnl Germany	6	487 1.2×	351 1.4×	97 0.6×	159 2.2×	20 0.3×	8	623

Countries citing papers authored by C. Caraffi

Since Specialization

Citations

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

Fields of papers citing papers by C. Caraffi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Caraffi

This figure shows the co-authorship network connecting the top 25 collaborators of C. Caraffi. A scholar is included among the top collaborators of C. Caraffi 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 C. Caraffi. C. Caraffi 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:

10 of 10 papers shown

1.

Caraffi, C., et al.. (2012). A system for real-time detection and tracking of vehicles from a single car-mounted camera. 975–982. 100 indexed citations

2.

Broggi, Alberto, C. Caraffi, Silvia Cattani, et al.. (2010). TerraMax Vision at the Urban Challenge 2007. IEEE Transactions on Intelligent Transportation Systems. 11(1). 194–205. 53 indexed citations

3.

Medici, Paolo, et al.. (2008). Real time road signs classification. 253–258. 11 indexed citations

4.

Broggi, Alberto, C. Caraffi, Stefano Cattani, et al.. (2008). The passive sensing suite of the TerraMax autonomous vehicle. Padua Research Archive (University of Padova). 769–774. 19 indexed citations

5.

Caraffi, C., et al.. (2008). An algorithm for Italian de-restriction signs detection. 834–840. 11 indexed citations

6.

Bertozzi, Massimo, et al.. (2007). Pedestrian detection by means of far-infrared stereo vision. Computer Vision and Image Understanding. 106(2-3). 194–204. 83 indexed citations

7.

Caraffi, C., Silvia Cattani, & Paolo Grisleri. (2007). Off-Road Path and Obstacle Detection Using Decision Networks and Stereo Vision. IEEE Transactions on Intelligent Transportation Systems. 8(4). 607–618. 63 indexed citations

8.

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

9.

Broggi, Alberto, C. Caraffi, Rean Isabella Fedriga, & Paolo Grisleri. (2006). Obstacle Detection with Stereo Vision for Off-Road Vehicle Navigation. 3. 65–65. 112 indexed citations

10.

Broggi, Alberto, C. Caraffi, Silvia Cattani, & Rean Isabella Fedriga. (2006). A decision network based frame-work for visual off-road path detection problem. 1. 951–956. 3 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.

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