Umberto Castellani
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- Computer Graphics and Visualization Techniques 12
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- Image Retrieval and Classification Techniques 23
- Image Processing and 3D Reconstruction 15
- Advanced Image and Video Retrieval Techniques 14
- Advanced Vision and Imaging 13
- Geology top 5%
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 30
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 16
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- Advanced Neuroimaging Techniques and Applications 14
- Co-authors
- Vittorio MurinoMarco CristaniSimone MelziMichael M. BronsteinAndrea FusielloPaolo BrambillaMarcella BellaniGiorgio Roffo
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)NeuroImage (1 paper)ACM Transactions on Graphics (1 paper)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Umberto Castellani
82 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Computer Graphics and Computer-Aided Design 167
- Computer Vision and Pattern Recognition 939
- Geology 152
- Computational Mechanics 514
- Aerospace Engineering 286
Countries citing papers authored by Umberto Castellani
This map shows the geographic impact of Umberto Castellani'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 Umberto Castellani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Castellani more than expected).
Fields of papers citing papers by Umberto Castellani
This network shows the impact of papers produced by Umberto Castellani. 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 Umberto Castellani. The network helps show where Umberto Castellani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Umberto Castellani, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 136 | |
| 8 | 2018 | 14 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 21 | |
| 11 | A Multiple Kernel Learning Approach to Multi-Modal Pedestrian Classification | 2014 | 2 |
| 12 | 2014 | 18 | |
| 13 | 2011 | 19 | |
| 14 | 2011 | 48 | |
| 15 | 2010 | 18 | |
| 16 | Free energy score space | 2009 | 14 |
| 17 | 2009 | 7 | |
| 18 | 2006 | 2 | |
| 19 | Efficient scene modeling for underwater ROV driving | 2004 | 1 |
| 20 | 2004 | 4 |
About Umberto Castellani
Umberto Castellani is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (30 papers), Image Retrieval and Classification Techniques (23 papers), Robotics and Sensor-Based Localization (16 papers), Image Processing and 3D Reconstruction (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Advanced Vision and Imaging (13 papers) and Computer Graphics and Visualization Techniques (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (167 citations), Computer Vision and Pattern Recognition (939 citations) and Geology (152 citations). Umberto Castellani has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Vittorio Murino, Marco Cristani, Simone Melzi, Michael M. Bronstein, Andrea Fusiello, Paolo Brambilla, Marcella Bellani, Giorgio Roffo, Alessandro Vinciarelli and Alessandro Perina. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and ACM Transactions on Graphics.
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.