Debora Zanatto
Impact in
- Social Psychology top 10%
- Social Robot Interaction and HRI
- Human-Automation Interaction and Safety
- Action Observation and Synchronization
- Cognitive Neuroscience top 10%
- Psychology of Moral and Emotional Judgment
- Face Recognition and Perception
Papers in
-
- Social Robot Interaction and HRI 7
- Action Observation and Synchronization 3
-
- Psychology of Moral and Emotional Judgment 4
- Free Will and Agency 3
- Co-authors
- Jeremy Goslin (6 shared papers)Angelo Cangelosi (7 shared papers)Massimiliano Patacchiola (5 shared papers)Laurence White (1 shared paper)Umberto Castiello (5 shared papers)Ilaria Torre (1 shared paper)Wenxuan Mou (2 shared papers)Chiara Begliomini (1 shared paper)
- Journals
- Neuroreport (1 paper)Neuropsychologia (1 paper)Journal of Clinical and Experimental Neuropsychology (1 paper)PLoS ONE (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Debora Zanatto
15 papers receiving 279 citations
Peers
Comparison fields: 5 of 61
- Social Psychology 158
- Cognitive Neuroscience 121
- Human-Computer Interaction 22
- Safety Research 28
- Artificial Intelligence 86
Countries citing papers authored by Debora Zanatto
This map shows the geographic impact of Debora Zanatto'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 Debora Zanatto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Zanatto more than expected).
Fields of papers citing papers by Debora Zanatto
This network shows the impact of papers produced by Debora Zanatto. 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 Debora Zanatto. The network helps show where Debora Zanatto may publish in the future.
Co-authors
The 25 scholars most cited alongside Debora Zanatto, 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 | 2016 | 59 | |
| 2 | 2018 | 51 | |
| 3 | 2016 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 18 | |
| 6 | 2014 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2014 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2012 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2013 | 1 |
About Debora Zanatto
Debora Zanatto is a scholar working on Social Psychology, Cognitive Neuroscience, Sociology and Political Science, Artificial Intelligence and Safety Research, having authored 16 papers that have together received 282 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (7 papers), Evolutionary Game Theory and Cooperation (5 papers), Psychology of Moral and Emotional Judgment (4 papers), Free Will and Agency (3 papers), AI in Service Interactions (3 papers), Action Observation and Synchronization (3 papers), Ethics and Social Impacts of AI (3 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Social Psychology (158 citations), Cognitive Neuroscience (121 citations), Human-Computer Interaction (22 citations), Safety Research (28 citations) and Artificial Intelligence (86 citations). Debora Zanatto has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Jeremy Goslin, Angelo Cangelosi, Massimiliano Patacchiola, Laurence White, Umberto Castiello, Ilaria Torre, Wenxuan Mou, Chiara Begliomini, Sanja Budisavljević and Flavio Dell’Acqua. Their work appears in journals such as Neuroreport, Neuropsychologia, Journal of Clinical and Experimental Neuropsychology, PLoS ONE and Frontiers in Neurology.
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.