Edson Prestes

68 papers receiving 868 citations

Peers

Edson Prestes
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 293
  • Artificial Intelligence 281
  • Control and Systems Engineering 280
  • Aerospace Engineering 215
  • Mechanical Engineering 133
Replace Raj Madhavan with:
Raj Madhavan United States
Paulo Gonçalves Portugal
John Wang United States
Poly Z. H. Sun China
Anton Satria Prabuwono Malaysia
Rahee Walambe India
Zeashan Hameed Khan Pakistan
Yiming Miao China
Hanan Abdullah Mengash Saudi Arabia
Jean Oh United States
Edson Prestes relative to Raj Madhavan United States Raj Madhavan's profile →
Citations per field
00.5×3.3×
Raj Madhavan · 1×
Citations per year

Countries citing papers authored by Edson Prestes

Since Specialization
Citations

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

Fields of papers citing papers by Edson Prestes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edson Prestes

This figure shows the co-authorship network connecting the top 25 collaborators of Edson Prestes. A scholar is included among the top collaborators of Edson Prestes 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 Edson Prestes. Edson Prestes 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 0
3 7
4 4
5 3
6 77
7 1
8 3
9 3
10 23
11
Robotic Ontological Standard Development Life Cycle
4
12 4
13 35
14 2
15
How to Improve Multi-Agent Recommendations Using Data from Social Networks?
1
16 42
17 1
18 8
19 9
20 4

About Edson Prestes

Edson Prestes is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Health Informatics, having authored 70 papers that have together received 915 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (21 papers) and Semantic Web and Ontologies (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (293 citations), Industrial and Manufacturing Engineering (121 citations) and Control and Systems Engineering (280 citations). Edson Prestes has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Paulo Gonçalves, Howard Li, Tamás Haidegger, Vitor A. M. Jorge, Sandro Rama Fiorini, Craig Schlenoff, Raj Madhavan, Marcos Barreto, Joel Luís Carbonera and Alaa Khamis. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Robotics and Autonomous Systems and Communications in Nonlinear Science and Numerical Simulation.

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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