Rui Prada

156 papers receiving 2.0k citations

Peers

Rui Prada
Comparison fields: 5 of 120
  • Human-Computer Interaction 367
  • Social Psychology 758
  • Developmental and Educational Psychology 354
  • Computer Science Applications 139
  • Artificial Intelligence 828
Replace Ruth S. Aylett with:
Ruth S. Aylett United Kingdom
Juan E. Gilbert United States
Nils Dahlbäck Sweden
Oren Zuckerman Israel
Margherita Antona Greece
Brian T. Gill United States
Katharina Reinecke United States
Magy Seif El‐Nasr United States
Michael McTear United Kingdom
Pierre‐Majorique Léger Canada
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Citations per field
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Citations per year

Countries citing papers authored by Rui Prada

Since Specialization
Citations

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

Fields of papers citing papers by Rui Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rui Prada, 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 Rui Prada Line = papers co-authored together Rui Prada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012266
2 2018121
3 201994
4 201565
5 201864
6
Game Mechanics for Cooperative Games
200861
7 200047
8 200145
9 202043
10 201441
11 202140
12 200237
13 201037
14 201935
15 201234
16 201033
17 200530
18 200828
19 201328
20 201228

About Rui Prada

Rui Prada is a scholar working on Social Psychology, Artificial Intelligence, Human-Computer Interaction, Developmental and Educational Psychology and Sociology and Political Science, having authored 169 papers that have together received 2.2k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (43 papers), Artificial Intelligence in Games (35 papers), Digital Games and Media (28 papers), Educational Games and Gamification (24 papers), Multi-Agent Systems and Negotiation (18 papers), Evolutionary Game Theory and Cooperation (15 papers), Human Motion and Animation (15 papers) and AI in Service Interactions (10 papers). The work is most often cited by research in Human-Computer Interaction (367 citations), Social Psychology (758 citations), Developmental and Educational Psychology (354 citations), Computer Science Applications (139 citations) and Artificial Intelligence (828 citations). Rui Prada has collaborated with scholars based in Portugal, Netherlands and United Kingdom. Frequent co-authors include Ana Paiva, Samuel F. Mascarenhas, André Pereira, Carlos Martinho, Isabel Machado, Iolanda Leite, Pedro A. Santos, João Carlos Pinto Dias, Gonçalo D. Pereira and Adrian David Cheok. Their work appears in journals such as Lecture notes in computer science, IEEE Access, International Journal of Human-Computer Studies, International Journal of Social Robotics and Artificial Intelligence.

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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