C. Caraffi

708 citations
10 papers · 533 · h-index 9

Impact in

Papers in

C. Caraffi

10 papers receiving 496 citations

Peers

C. Caraffi
Comparison fields: 5 of 46
  • Automotive Engineering 258
  • Computer Vision and Pattern Recognition 422
  • Aerospace Engineering 151
  • Media Technology 48
  • Environmental Engineering 73
Replace Tobias Kühnl with:
Tobias Kühnl Germany
Pier Paolo Porta Italy
Paolo Zani Italy
Chunzhao Guo Japan
Stefan Müller-Schneiders Germany
Takashi Naito Japan
Mirko Meuter Germany
Jakub Sochor Czechia
Minchae Lee South Korea
Gwenaëlle Toulminet France
C. Caraffi relative to Tobias Kühnl Germany Tobias Kühnl's profile →
Citations per field
00.5×1.6×
Tobias Kühnl · 1×
Citations per year

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-authors

The 15 scholars most cited alongside C. Caraffi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Caraffi Line = papers co-authored together C. Caraffi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006113
2 2012101
3 200784
4 200675
5 200763
6 201053
7 200819
8 200811
9 200811
10 20063

About C. Caraffi

C. Caraffi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Environmental Engineering and Electrical and Electronic Engineering, having authored 10 papers that have together received 533 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Measurement and Detection Methods (3 papers), Advanced Vision and Imaging (3 papers), Remote Sensing and LiDAR Applications (3 papers), Anomaly Detection Techniques and Applications (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Automotive Engineering (258 citations), Computer Vision and Pattern Recognition (422 citations), Aerospace Engineering (151 citations), Media Technology (48 citations) and Environmental Engineering (73 citations). C. Caraffi has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alberto Broggi, Paolo Grisleri, Pier Paolo Porta, Rean Isabella Fedriga, Silvia Cattani, Paolo Zani, J Šochman, Jiřı́ Matas, Massimo Bertozzi and Mirko Felisa. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Vision and Image Understanding, Cambridge University Engineering Department Publications Database and Padua Research Archive (University of Padova).

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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