Márcio Mendonça

44 papers receiving 199 citations

Peers

Márcio Mendonça
Comparison fields: 5 of 60
  • Artificial Intelligence 104
  • Control and Systems Engineering 65
  • Nuclear Energy and Engineering 1
  • Management Science and Operations Research 27
  • Computer Vision and Pattern Recognition 44
Replace Zhanpeng He with:
Zhanpeng He United States
Daniel Claes Netherlands
Chang‐Kyu Song South Korea
Benoit Morisset United States
Torsten Koller Germany
Sung-Kyun Kim United States
Bruce T. Clough United States
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Barry Werger United States
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Citations per year

Countries citing papers authored by Márcio Mendonça

Since Specialization
Citations

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

Fields of papers citing papers by Márcio Mendonça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Márcio Mendonça, 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 Márcio Mendonça Line = papers co-authored together Márcio Mendonça links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201225
2 201124
3 201721
4 201614
5 201912
6 20189
7 20168
8 20208
9
Camera calibration using neural networks
20027
10 20217
11 20187
12 20186
13 20136
14 20095
15 20214
16 20224
17 20204
18 20233
19 20153
20 20173

About Márcio Mendonça

Márcio Mendonça is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 49 papers that have together received 216 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (18 papers), Cognitive Computing and Networks (12 papers), Robotics and Automated Systems (8 papers), Multi-Criteria Decision Making (5 papers), Hydraulic and Pneumatic Systems (3 papers), Sensorless Control of Electric Motors (3 papers), Robotic Mechanisms and Dynamics (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Artificial Intelligence (104 citations), Control and Systems Engineering (65 citations), Nuclear Energy and Engineering (1 citation), Management Science and Operations Research (27 citations) and Computer Vision and Pattern Recognition (44 citations). Márcio Mendonça has collaborated with scholars based in Brazil, Greece and Senegal. Frequent co-authors include Lúcia Valéria Ramos de Arruda, Flávio Neves, Rodrigo Henrique Cunha Palácios, Bruno Augusto Angélico, Elpiniki I. Papageorgiou, Ivan Nunes da Silva, Asmaa Mourhir, Νικόλαος Παπανδριανός, Wagner Fontes Godoy and Taufik Abrão. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Journal of Non-Newtonian Fluid Mechanics, Education and Information Technologies and Applied 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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