Celso M. de Melo

1.6k citations
45 papers · 830 indexed · 1 hit paper · h-index 16
Topics
Evolutionary Game Theory and Cooperation (17 papers)Experimental Behavioral Economics Studies (9 papers)Psychology of Moral and Emotional Judgment (9 papers)

In The Last Decade

Celso M. de Melo

41 papers receiving 811 citations

Hit Papers

ConceptFusion: Open-set multimodal 3D mapping20232026202420252023255075100

Peers

Celso M. de Melo
Comparison fields: 5 of 109
  • Social Psychology 282
  • Sociology and Political Science 226
  • Computer Vision and Pattern Recognition 185
  • Cognitive Neuroscience 174
  • Artificial Intelligence 163
Replace Eva Wiese with:
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Celso M. de Melo relative to Eva Wiese United States Eva Wiese's profile →
Citations per field
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Citations per year

Countries citing papers authored by Celso M. de Melo

Since Specialization
Citations

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

Fields of papers citing papers by Celso M. de Melo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celso M. de Melo. 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 Celso M. de Melo. The network helps show where Celso M. de Melo may publish in the future.

Co-authorship network of co-authors of Celso M. de Melo

This figure shows the co-authorship network connecting the top 25 collaborators of Celso M. de Melo. A scholar is included among the top collaborators of Celso M. de Melo 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 Celso M. de Melo. Celso M. de Melo 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
#WorkIndexed citations
1 0
2 1
3 8
4 1
5 1
6
ConceptFusion: Open-set multimodal 3D mappingbreakdown →
100
7 3
8 4
9 17
10 93
11 23
12 22
13 23
14 5
15 6
16
People’s Biased Decisions to Trust and Cooperate with Agents that Express Emotions
3
17 166
18
Reverse appraisal: The importance of appraisals for the effect of emotion displays on people’s decision making in a social dilemma
16
19 11
20
Evolving Expression of Emotions Through Color in Virtual Humans Using Genetic Algorithms.
3

About Celso M. de Melo

Celso M. de Melo is a scholar working on Safety Research, Social Psychology and Experimental and Cognitive Psychology, having authored 45 papers that have together received 830 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (17 papers), Experimental Behavioral Economics Studies (9 papers) and Psychology of Moral and Emotional Judgment (9 papers). The work is most often cited by research in Safety Research (142 citations), Social Psychology (282 citations) and Human-Computer Interaction (72 citations). Celso M. de Melo has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include Jonathan Gratch, Peter J. Carnevale, Stephen J. Read, Kazunori Terada, Stacy Marsella, Antonio Torralba, Leonidas Guibas, Rama Chellappa, James J. DiCarlo and Jessica K. Hodgins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.

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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