Giulia Perugia

23 papers receiving 414 citations

Peers

Giulia Perugia
Comparison fields: 5 of 59
  • Social Psychology 275
  • Human-Computer Interaction 67
  • Safety Research 62
  • Artificial Intelligence 156
  • Applied Psychology 22
Replace Hiroko Kamide with:
Hiroko Kamide Japan
Denise Y. Geiskkovitch Canada
Federico Manzi Italy
Benedict Tiong Chee Tay Singapore
Micol Spitale Italy
Heather E. Gary United States
Caroline L. van Straten Netherlands
Anna Henschel United Kingdom
Jacqueline M. Kory Westlund United States
Robin Read United Kingdom
Giulia Perugia relative to Hiroko Kamide Japan Hiroko Kamide's profile →
Citations per field
00.5×2.7×
Hiroko Kamide · 1×
Citations per year

Countries citing papers authored by Giulia Perugia

Since Specialization
Citations

This map shows the geographic impact of Giulia Perugia'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 Giulia Perugia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Perugia more than expected).

Fields of papers citing papers by Giulia Perugia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Perugia. 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 Giulia Perugia. The network helps show where Giulia Perugia may publish in the future.

Co-authors

The 25 scholars most cited alongside Giulia Perugia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Perugia Line = papers co-authored together Giulia Perugia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 202151
3 202245
4 201830
5 202029
6 202024
7 202123
8 201722
9 202321
10 201716
11 202216
12 202013
13 202213
14 201712
15 202311
16 20237
17 20176
18 20214
19 20214
20 20223

About Giulia Perugia

Giulia Perugia is a scholar working on Social Psychology, Artificial Intelligence, Cognitive Neuroscience, Safety Research and Experimental and Cognitive Psychology, having authored 26 papers that have together received 421 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (20 papers), AI in Service Interactions (7 papers), Ethics and Social Impacts of AI (5 papers), Face Recognition and Perception (4 papers), Child and Animal Learning Development (4 papers), Innovative Human-Technology Interaction (3 papers), Psychiatry, Mental Health, Neuroscience (3 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Social Psychology (275 citations), Human-Computer Interaction (67 citations), Safety Research (62 citations), Artificial Intelligence (156 citations) and Applied Psychology (22 citations). Giulia Perugia has collaborated with scholars based in Netherlands, Sweden and Spain. Frequent co-authors include Ginevra Castellano, Maike Paetzel, Emilia Barakova, Matthias Rauterberg, Andreu Catalá, Marta Díaz Boladeras, Stefano Guidi, Oronzo Parlangeli, Daniel Rodríguez-Martín and Jun Hu. Their work appears in journals such as International Journal of Social Robotics, Computers in Human Behavior, Frontiers in Psychology, IEEE Transactions on Affective Computing and American Journal of Alzheimer s Disease & Other Dementias®.

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.

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