Sofia Petisca

499 citations
15 papers · 226 · h-index 7

Impact in

Papers in

Sofia Petisca

15 papers receiving 219 citations

Peers

Sofia Petisca
Comparison fields: 5 of 53
  • Social Psychology 153
  • Computer Science Applications 30
  • Safety Research 43
  • Artificial Intelligence 103
  • Health Informatics 4
Replace Matthijs Smakman with:
Matthijs Smakman Netherlands
Aidan Jones United Kingdom
Jonathan Vitale Australia
Suman Ojha Australia
Mirjam de Haas Netherlands
Matthias Kraus Germany
Rianne van den Berghe Netherlands
Maddy Janse Netherlands
Anastasia K. Ostrowski United States
Jacqueline Kory Westlund United States
Sofia Petisca relative to Matthijs Smakman Netherlands Matthijs Smakman's profile →
Citations per field
00.5×11.5×
Matthijs Smakman · 1×
Citations per year

Countries citing papers authored by Sofia Petisca

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Petisca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sofia Petisca, 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 Sofia Petisca Line = papers co-authored together Sofia Petisca links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2016100
2 201630
3 201825
4 201817
5 201616
6 20199
7 20227
8 20176
9 20205
10
"It's Amazing, We Are All Feeling It!" - Emotional Climate as a Group-Level Emotional Expression in HRI.
20153
11 20162
12
Robot Utterances and Gaze
20172
13
"How do you imagine robots?" Childrens' expectations about robots
20142
14 20171
15
Description of the "Sueca" Card Game
20171

About Sofia Petisca

Sofia Petisca is a scholar working on Social Psychology, Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience and Safety Research, having authored 15 papers that have together received 226 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (10 papers), Psychology of Moral and Emotional Judgment (3 papers), Ethics and Social Impacts of AI (3 papers), Reinforcement Learning in Robotics (3 papers), AI in Service Interactions (3 papers), Emotions and Moral Behavior (2 papers), Robot Manipulation and Learning (2 papers) and Free Will and Agency (2 papers). The work is most often cited by research in Social Psychology (153 citations), Computer Science Applications (30 citations), Safety Research (43 citations), Artificial Intelligence (103 citations) and Health Informatics (4 citations). Sofia Petisca has collaborated with scholars based in Portugal, Sweden and United Kingdom. Frequent co-authors include Ana Paiva, Patrícia Alves‐Oliveira, Aidan Jones, Asimina Vasalou, Wolmet Barendregt, Sofia Serholt, Filipa Correia, Francisco S. Melo, Tiago Ribeiro and Francisco Esteves. Their work appears in journals such as AI & Society, International Journal of Social Robotics, Autonomous Robots, Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) and OSF Preprints (OSF Preprints).

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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