Vincenzo Caglioti
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- Advanced Vision and Imaging 23
- Optical measurement and interference techniques 13
- Image and Object Detection Techniques 11
- Advanced Image Processing Techniques 8
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 19
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- Image Processing Techniques and Applications 7
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- Target Tracking and Data Fusion in Sensor Networks 6
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- Indoor and Outdoor Localization Technologies 5
- Co-authors
- Francesco AmigoniAlessandro GiustiSimone GaspariniGiacomo BoracchiLuca Maria GambardellaGianni A. DiJérôme GuzziG. Borghi
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Pattern Recognition (2 papers)International Journal of Computer Vision (3 papers)
- Partner nations
- ItalySwitzerlandIndia
In The Last Decade
Vincenzo Caglioti
44 papers receiving 375 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 282
- Aerospace Engineering 193
- Geology 20
- Human-Computer Interaction 19
- Computer Networks and Communications 65
Countries citing papers authored by Vincenzo Caglioti
This map shows the geographic impact of Vincenzo Caglioti'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 Vincenzo Caglioti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Caglioti more than expected).
Fields of papers citing papers by Vincenzo Caglioti
This network shows the impact of papers produced by Vincenzo Caglioti. 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 Vincenzo Caglioti. The network helps show where Vincenzo Caglioti may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Vincenzo Caglioti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 2 | |
| 2 | Single-image 3D Reconstruction of Ball Velocity and Spin from Motion Blur | 2008 | 3 |
| 3 | 2008 | 0 | |
| 4 | 2008 | 5 | |
| 5 | 2008 | 2 | |
| 6 | 2007 | 2 | |
| 7 | 2007 | 2 | |
| 8 | 2007 | 4 | |
| 9 | 2007 | 1 | |
| 10 | 2007 | 4 | |
| 11 | 2006 | 8 | |
| 12 | 2005 | 7 | |
| 13 | A Multirobot Architecture for Environmental Perception | 2003 | 4 |
| 14 | 2002 | 0 | |
| 15 | 2001 | 14 | |
| 16 | 2001 | 6 | |
| 17 | 1998 | 17 | |
| 18 | Uncertainty minimization in the self-localization of mobile robots in curvilinear environments | 1998 | 1 |
| 19 | 1993 | 5 | |
| 20 | 1993 | 8 |
About Vincenzo Caglioti
Vincenzo Caglioti is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 47 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Robotics and Sensor-Based Localization (19 papers), Optical measurement and interference techniques (13 papers), Image and Object Detection Techniques (11 papers), Advanced Image Processing Techniques (8 papers), Image Processing Techniques and Applications (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (282 citations), Aerospace Engineering (193 citations) and Geology (20 citations). Vincenzo Caglioti has collaborated with scholars based in Italy, Switzerland and India. Frequent co-authors include Francesco Amigoni, Alessandro Giusti, Simone Gasparini, Giacomo Boracchi, Luca Maria Gambardella, Gianni A. Di, Jérôme Guzzi, G. Borghi, Andrea Fossati and Fabio A. Schreiber. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.
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.