Francesca Nonis
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
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- Emotion and Mood Recognition
Papers in
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- Virtual Reality Applications and Impacts 4
- Gaze Tracking and Assistive Technology 3
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- Face and Expression Recognition 3
- Face recognition and analysis 3
- Co-authors
- Enrico Vezzetti (12 shared papers)Federica Marcolin (10 shared papers)Luca Ulrich (7 shared papers)Francesco Ferrise (4 shared papers)Giulia Wally Scurati (4 shared papers)Sandro Moos (7 shared papers)Stefano Tornincasa (1 shared paper)Stéphanie Dakpé (1 shared paper)
In The Last Decade
Francesca Nonis
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 88
- Experimental and Cognitive Psychology 74
- Computer Vision and Pattern Recognition 93
- Sensory Systems 11
- Social Psychology 46
Countries citing papers authored by Francesca Nonis
This map shows the geographic impact of Francesca Nonis'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 Francesca Nonis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Nonis more than expected).
Fields of papers citing papers by Francesca Nonis
This network shows the impact of papers produced by Francesca Nonis. 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 Francesca Nonis. The network helps show where Francesca Nonis may publish in the future.
Co-authors
The 19 scholars most cited alongside Francesca Nonis, 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 | 2022 | 80 | |
| 2 | 2019 | 55 | |
| 3 | 2024 | 28 | |
| 4 | 2019 | 21 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 20 | |
| 7 | 2019 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Francesca Nonis
Francesca Nonis is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 15 papers that have together received 264 indexed citations. Recurring topics across this work include Color perception and design (4 papers), Virtual Reality Applications and Impacts (4 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Emotion and Mood Recognition (3 papers), Gaze Tracking and Assistive Technology (3 papers), Olfactory and Sensory Function Studies (2 papers) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Human-Computer Interaction (88 citations), Experimental and Cognitive Psychology (74 citations), Computer Vision and Pattern Recognition (93 citations), Sensory Systems (11 citations) and Social Psychology (46 citations). Francesca Nonis has collaborated with scholars based in Italy, Brazil and France. Frequent co-authors include Enrico Vezzetti, Federica Marcolin, Luca Ulrich, Francesco Ferrise, Giulia Wally Scurati, Sandro Moos, Stefano Tornincasa, Stéphanie Dakpé, Frédéric Marin and Ivonne Angélica Castiblanco Jiménez. Their work appears in journals such as Applied Sciences, Frontiers in Oncology, IEEE Computer Graphics and Applications, Journal of Biomechanics and International Journal on Interactive Design and Manufacturing (IJIDeM).
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.