Francesco Rea

1.5k total citations
104 papers, 935 citations indexed

About

Francesco Rea is a scholar working on Social Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Francesco Rea has authored 104 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Social Psychology, 30 papers in Cognitive Neuroscience and 25 papers in Artificial Intelligence. Recurrent topics in Francesco Rea's work include Social Robot Interaction and HRI (51 papers), Action Observation and Synchronization (25 papers) and Face Recognition and Perception (15 papers). Francesco Rea is often cited by papers focused on Social Robot Interaction and HRI (51 papers), Action Observation and Synchronization (25 papers) and Face Recognition and Perception (15 papers). Francesco Rea collaborates with scholars based in Italy, Japan and Canada. Francesco Rea's co-authors include Alessandra Sciutti, Giulio Sandini, Alexander Mois Aroyo, Oskar Palinko, Giorgio Metta, Marco Nuti, Monica Agnolucci, Pietro Morasso, Jacopo Zenzeri and Chiara Bartolozzi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Francesco Rea

93 papers receiving 908 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Rea Italy 17 418 268 205 153 140 104 935
Shingo Murata Japan 24 75 0.2× 176 0.7× 161 0.8× 182 1.2× 470 3.4× 73 2.3k
Tao Gao China 16 353 0.8× 450 1.7× 112 0.5× 171 1.1× 63 0.5× 81 1.0k
Kerstin Schill Germany 14 63 0.2× 342 1.3× 75 0.4× 239 1.6× 26 0.2× 57 745
Jaeyeon Lee South Korea 12 57 0.1× 117 0.4× 71 0.3× 208 1.4× 149 1.1× 72 666
M. Dolores del Castillo Spain 26 97 0.2× 560 2.1× 215 1.0× 50 0.3× 13 0.1× 91 1.6k
Christian Balkenius Sweden 20 221 0.5× 832 3.1× 371 1.8× 146 1.0× 260 1.9× 117 1.5k
Kazuyoshi Wada Japan 18 565 1.4× 150 0.6× 278 1.4× 145 0.9× 199 1.4× 85 1.2k
Hiroyasu Miwa Japan 17 425 1.0× 134 0.5× 165 0.8× 170 1.1× 286 2.0× 67 874
Gökhan İnce Türkiye 16 92 0.2× 121 0.5× 149 0.7× 149 1.0× 84 0.6× 104 792
Jozef Juhár Slovakia 14 83 0.2× 99 0.4× 393 1.9× 139 0.9× 114 0.8× 132 777

Countries citing papers authored by Francesco Rea

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Rea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Rea

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Rea. A scholar is included among the top collaborators of Francesco Rea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Rea. Francesco Rea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Catalano, Manuel G., et al.. (2025). One Robot, Many Minds: Factors Shaping Visitors' Evaluation of an Autonomous Museum Robot Guide. CINECA IRIS Institutial Research Information System (University of Genoa). 67–75.
2.
Gudwin, Ricardo, et al.. (2025). Curiosity and Affect-Driven Cognitive Architecture for HRI. IEEE Transactions on Affective Computing. 1–18. 3 indexed citations
3.
Sciutti, Alessandra, et al.. (2024). Humanoid facial expressions as a tool to study human behaviour. Scientific Reports. 14(1). 133–133. 4 indexed citations
4.
Rea, Francesco, et al.. (2024). Biased Attention Near iCub's Hand After Collaborative HRI. BOA (University of Milano-Bicocca). 970–974.
5.
Rea, Francesco, et al.. (2024). Humanoid Attitudes Influence Humans in Video and Live Interactions. IEEE Access. 12. 118502–118509.
6.
7.
Rea, Francesco, et al.. (2023). What if a Social Robot Excluded You?. KTH Publication Database DiVA (KTH Royal Institute of Technology). 208–212. 4 indexed citations
8.
Rea, Francesco, et al.. (2023). To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills. Research Explorer (The University of Manchester).
9.
Rea, Francesco, et al.. (2023). A Controllable and Repeatable Method to Study Perceptual and Motor Adaptation in Human-Robot Interaction. CINECA IRIS Institutial Research Information System (University of Genoa). 188–192. 1 indexed citations
10.
Aroyo, Alexander Mois, et al.. (2023). That's not a Good Idea: A Robot Changes Your Behavior Against Social Engineering. 63–71. 1 indexed citations
11.
Noceti, Nicoletta, Alessandra Sciutti, Francesco Rea, et al.. (2023). Kinematic Primitives in Action Similarity Judgments: A Human-Centered Computational Model. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 1981–1992.
12.
Rea, Francesco, et al.. (2022). Shared Perception Is Different From Individual Perception: A New Look on Context Dependency. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1020–1032. 4 indexed citations
13.
Rea, Francesco, et al.. (2021). A Humanoid Robot’s Effortful Adaptation Boosts Partners’ Commitment to an Interactive Teaching Task. ACM Transactions on Human-Robot Interaction. 11(1). 1–17. 5 indexed citations
14.
Aroyo, Alexander Mois, et al.. (2021). Expectations Vs. Reality: Unreliability and Transparency in a Treasure Hunt Game With Icub. IEEE Robotics and Automation Letters. 6(3). 5681–5688. 12 indexed citations
15.
Aroyo, Alexander Mois, et al.. (2021). Detecting Lies is a Child (Robot)’s Play: Gaze-Based Lie Detection in HRI. International Journal of Social Robotics. 15(4). 583–598. 9 indexed citations
16.
Rea, Francesco, et al.. (2020). Speech Envelope Dynamics for Noise-Robust Auditory Scene Analysis in Robotics. International Journal of Humanoid Robotics. 17(6). 2050023–2050023. 1 indexed citations
17.
Noceti, Nicoletta, Alessandra Sciutti, Francesco Rea, et al.. (2020). Action similarity judgment based on kinematic primitives. CINECA IRIS Institutial Research Information System (University of Genoa). 3 indexed citations
18.
Cesare, Giuseppe Di, et al.. (2018). A Robot with Style: Can Robotic Attitudes Influence Human Actions?. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 9 indexed citations
19.
Aroyo, Alexander Mois, Francesco Rea, Giulio Sandini, & Alessandra Sciutti. (2018). Trust and Social Engineering in Human Robot Interaction: Will a Robot Make You Disclose Sensitive Information, Conform to Its Recommendations or Gamble?. IEEE Robotics and Automation Letters. 3(4). 3701–3708. 53 indexed citations
20.
Rea, Francesco, et al.. (2017). Towards an Affective Cognitive Architecture for Human-Robot Interaction for the iCub Robot. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations

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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