Vincenzo Caglioti

44 papers receiving 375 citations

Peers

Vincenzo Caglioti
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 282
  • Aerospace Engineering 193
  • Computer Networks and Communications 65
  • Mechanical Engineering 60
  • Electrical and Electronic Engineering 51
Replace Jean-Bernard Hayet with:
Jean-Bernard Hayet Mexico
Beom-Hee Lee South Korea
Javier Pérez Spain
Yoshiki Mizukami Japan
Jesús Pestana Spain
Sai Vemprala United States
Lucas Teixeira Switzerland
Sam Prentice United States
Fangwei Zhong China
Shaowu Yang China
Vincenzo Caglioti relative to Jean-Bernard Hayet Mexico Jean-Bernard Hayet's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vincenzo Caglioti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Vincenzo Caglioti

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Caglioti. A scholar is included among the top collaborators of Vincenzo Caglioti 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 Vincenzo Caglioti. Vincenzo Caglioti 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
#WorkIndexed citations
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Single-image 3D Reconstruction of Ball Velocity and Spin from Motion Blur
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11 8
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A Multirobot Architecture for Environmental Perception
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Uncertainty minimization in the self-localization of mobile robots in curvilinear environments
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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) and Optical measurement and interference techniques (13 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.

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