Pietro Perona
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- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 2
- Visual Attention and Saliency Detection 1
- Advanced Vision and Imaging 1
- Human-Computer Interaction top 5%
- Sensory Systems top 5%
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms 2
- Aesthetic Perception and Analysis 1
- Face Recognition and Perception 1
- Artificial Intelligence top 10%
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- Music and Audio Processing 1
- Co-authors
- M SpainWolfgang EinhäuserAlex HolubMichael C. BurlPiotr DollárDavid J. AndersonDayu LinXavier P. Burgos-Artizzu
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Methods (1 paper)Journal of Vision (3 papers)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Pietro Perona
11 papers receiving 722 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 508
- Human-Computer Interaction 108
- Sensory Systems 87
- Cognitive Neuroscience 241
- Artificial Intelligence 170
Countries citing papers authored by Pietro Perona
This map shows the geographic impact of Pietro Perona'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 Pietro Perona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Perona more than expected).
Fields of papers citing papers by Pietro Perona
This network shows the impact of papers produced by Pietro Perona. 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 Pietro Perona. The network helps show where Pietro Perona may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Pietro Perona, 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 | 2 | |
| 2 | 2012 | 21 | |
| 3 | 2012 | 101 | |
| 4 | 2010 | 13 | |
| 5 | 2010 | 0 | |
| 6 | 2008 | 342 | |
| 7 | 2008 | 11 | |
| 8 | 2008 | 21 | |
| 9 | 2008 | 164 | |
| 10 | 2007 | 49 | |
| 11 | 2003 | 10 | |
| 12 | 1994 | 8 |
About Pietro Perona
Pietro Perona is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 12 papers that have together received 742 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Visual perception and processing mechanisms (2 papers), Image Retrieval and Classification Techniques (2 papers), Aesthetic Perception and Analysis (1 paper), Face Recognition and Perception (1 paper), Visual Attention and Saliency Detection (1 paper), Music and Audio Processing (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (508 citations), Human-Computer Interaction (108 citations) and Sensory Systems (87 citations). Pietro Perona has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include M Spain, Wolfgang Einhäuser, Alex Holub, Michael C. Burl, Piotr Dollár, David J. Anderson, Dayu Lin, Xavier P. Burgos-Artizzu, Daniel Helmick and Larry Matthies. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and Journal of 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.