M. Costa

466 total citations
8 papers, 276 citations indexed

About

M. Costa is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, M. Costa has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in M. Costa's work include Human Motion and Animation (7 papers), Artificial Intelligence in Games (4 papers) and Video Analysis and Summarization (3 papers). M. Costa is often cited by papers focused on Human Motion and Animation (7 papers), Artificial Intelligence in Games (4 papers) and Video Analysis and Summarization (3 papers). M. Costa collaborates with scholars based in Brazil, United States and Italy. M. Costa's co-authors include Liwei Zhao, Norman I. Badler, Bruno Feijó, Fabio Lavagetto and Daniela Szwarcman and has published in prestigious journals such as Signal Processing Image Communication and Computers & Graphics.

In The Last Decade

M. Costa

6 papers receiving 248 citations

Peers

M. Costa
Comparison fields: 5 of 43
  • Control and Systems Engineering 190
  • Computer Vision and Pattern Recognition 177
  • Social Psychology 82
  • Human-Computer Interaction 63
  • Artificial Intelligence 41
Replace Maher Ben Moussa with:
Maher Ben Moussa Switzerland
Sumedha Kshirsagar Switzerland
Yuyu Xu United States
Petra Gieselmann Germany
Yosuke Matsusaka Japan
Herwin van Welbergen Netherlands
Tomislav Pejša United States
Taras Kucherenko Sweden
Simon Alexanderson Sweden
H. Tanie Japan
Maher Ben Moussa Switzerland View profile →
Citations per field, relative to M. Costa
M. Costa · 1×
Citations per year, relative to M. Costa
M. Costa · 1×

Countries citing papers authored by M. Costa

Since Specialization
Citations

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

Fields of papers citing papers by M. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Costa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Costa. A scholar is included among the top collaborators of M. Costa 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 M. Costa. M. Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 9
2 14
3 4
4 0
5 1
6 233
7 8
8
An Architecture for Concurrent Reactive Agents in Real-Time Animation
7

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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2026