Stefano Pellegrini
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- Video Surveillance and Tracking Methods 4
- Generative Adversarial Networks and Image Synthesis 1
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- Underwater Vehicles and Communication Systems 1
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- Cancer Genomics and Diagnostics 2
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- Gait Recognition and Analysis 2
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- Anomaly Detection Techniques and Applications 2
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- Magnetic Field Sensors Techniques 1
- Indoor and Outdoor Localization Technologies 1
- Co-authors
- Luca IocchiLuc Van GoolSu WangMohammad NorouziSarah LaszloChitwan SahariaYasumasa OnoeJason Baldridge
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- Nature (1 paper)Nucleic Acids Research (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- ItalySwitzerlandSpain
In The Last Decade
Stefano Pellegrini
6 papers receiving 125 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 99
- Computer Graphics and Computer-Aided Design 12
- Human-Computer Interaction 16
- Ocean Engineering 15
- Geology 4
Countries citing papers authored by Stefano Pellegrini
This map shows the geographic impact of Stefano Pellegrini'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 Stefano Pellegrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Pellegrini more than expected).
Fields of papers citing papers by Stefano Pellegrini
This network shows the impact of papers produced by Stefano Pellegrini. 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 Stefano Pellegrini. The network helps show where Stefano Pellegrini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefano Pellegrini, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 66 | |
| 4 | 2023 | 0 | |
| 5 | 2012 | 6 | |
| 6 | 2010 | 17 | |
| 7 | 2008 | 29 | |
| 8 | 2007 | 9 | |
| 9 | 2006 | 5 |
About Stefano Pellegrini
Stefano Pellegrini is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cancer Research, having authored 9 papers that have together received 132 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Cancer Genomics and Diagnostics (2 papers), Gait Recognition and Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Underwater Vehicles and Communication Systems (1 paper), Magnetic Field Sensors Techniques (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Computer Graphics and Computer-Aided Design (12 citations) and Human-Computer Interaction (16 citations). Stefano Pellegrini has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Luca Iocchi, Luc Van Gool, Su Wang, Mohammad Norouzi, Sarah Laszlo, Chitwan Saharia, Yasumasa Onoe, Jason Baldridge, William Chan and Peter J. Anderson. Their work appears in journals such as Nature, Nucleic Acids Research and Computer Vision and Image Understanding.
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.