Chiara Pero
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Digital Media Forensic Detection
- Human Pose and Action Recognition
- Advanced Steganography and Watermarking Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 19
- Face and Expression Recognition 17
- Human Pose and Action Recognition 4
- Advanced Steganography and Watermarking Techniques 3
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- Biometric Identification and Security 11
- Co-authors
- Michele Nappi (21 shared papers)Saiyed Umer (6 shared papers)Carmen Bisogni (12 shared papers)Ranjeet Kumar Rout (3 shared papers)Aniello Castiglione (11 shared papers)Lucia Cascone (8 shared papers)Stefano Ricciardi (5 shared papers)Vincenzo Loia (4 shared papers)
In The Last Decade
Chiara Pero
37 papers receiving 365 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 221
- Signal Processing 89
- Experimental and Cognitive Psychology 80
- Human-Computer Interaction 26
- Information Systems 60
Countries citing papers authored by Chiara Pero
This map shows the geographic impact of Chiara Pero'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 Chiara Pero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Pero more than expected).
Fields of papers citing papers by Chiara Pero
This network shows the impact of papers produced by Chiara Pero. 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 Chiara Pero. The network helps show where Chiara Pero may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Pero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2020 | 27 | |
| 3 | 2024 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 5 |
About Chiara Pero
Chiara Pero is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 42 papers that have together received 374 indexed citations. Recurring topics across this work include Face recognition and analysis (19 papers), Face and Expression Recognition (17 papers), Biometric Identification and Security (11 papers), Emotion and Mood Recognition (6 papers), User Authentication and Security Systems (5 papers), Human Pose and Action Recognition (4 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Signal Processing (89 citations), Experimental and Cognitive Psychology (80 citations), Human-Computer Interaction (26 citations) and Information Systems (60 citations). Chiara Pero has collaborated with scholars based in Italy, India and China. Frequent co-authors include Michele Nappi, Saiyed Umer, Carmen Bisogni, Ranjeet Kumar Rout, Aniello Castiglione, Lucia Cascone, Stefano Ricciardi, Vincenzo Loia, Andrea F. Abate and Maurizio Tucci. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Industrial Informatics and IEEE Access.
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.