Vittorio Cuculo
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
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- Non-Invasive Vital Sign Monitoring
Papers in
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- Face recognition and analysis 5
- Face and Expression Recognition 2
- Visual Attention and Saliency Detection 2
- Co-authors
- Raffaella Lanzarotti (8 shared papers)Giuliano Grossi (7 shared papers)Giuseppe Boccignone (10 shared papers)Donatello Conte (4 shared papers)Alessandro D’Amelio (7 shared papers)Alessandro D’Amelio (2 shared papers)Jianyi Lin (1 shared paper)Marcella Cornia (2 shared papers)
- Journals
- Sensors (2 papers)IEEE Access (2 papers)IEEE Transactions on Cognitive and Developmental Systems (1 paper)PeerJ Computer Science (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- ItalyFranceUnited Arab Emirates
In The Last Decade
Vittorio Cuculo
11 papers receiving 166 citations
Peers
Comparison fields: 5 of 41
- Cardiology and Cardiovascular Medicine 71
- Biomedical Engineering 95
- Computer Vision and Pattern Recognition 39
- Signal Processing 20
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Vittorio Cuculo
This map shows the geographic impact of Vittorio Cuculo'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 Vittorio Cuculo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittorio Cuculo more than expected).
Fields of papers citing papers by Vittorio Cuculo
This network shows the impact of papers produced by Vittorio Cuculo. 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 Vittorio Cuculo. The network helps show where Vittorio Cuculo may publish in the future.
Co-authors
The 10 scholars most cited alongside Vittorio Cuculo, 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 | 2020 | 68 | |
| 2 | 2022 | 42 | |
| 3 | 2019 | 19 | |
| 4 | 2018 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2020 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2014 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2019 | 0 |
About Vittorio Cuculo
Vittorio Cuculo is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Biomedical Engineering, having authored 12 papers that have together received 166 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Non-Invasive Vital Sign Monitoring (3 papers), ECG Monitoring and Analysis (3 papers), Face and Expression Recognition (2 papers), Visual Attention and Saliency Detection (2 papers), Emotion and Mood Recognition (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (71 citations), Biomedical Engineering (95 citations), Computer Vision and Pattern Recognition (39 citations), Signal Processing (20 citations) and Experimental and Cognitive Psychology (21 citations). Vittorio Cuculo has collaborated with scholars based in Italy, France and United Arab Emirates. Frequent co-authors include Raffaella Lanzarotti, Giuliano Grossi, Giuseppe Boccignone, Donatello Conte, Alessandro D’Amelio, Alessandro D’Amelio, Jianyi Lin, Marcella Cornia, Rita Cucchiara and Marco Lucchi. Their work appears in journals such as Sensors, IEEE Access, IEEE Transactions on Cognitive and Developmental Systems, PeerJ Computer Science and Biomedical Signal Processing and Control.
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.