Edson Prestes

70 papers receiving 886 citations

Peers

Edson Prestes
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 298
  • Industrial and Manufacturing Engineering 122
  • Control and Systems Engineering 282
  • Artificial Intelligence 284
  • Aerospace Engineering 220
Replace Raj Madhavan with:
Raj Madhavan United States
Paulo Gonçalves Portugal
John Wang United States
Anton Satria Prabuwono Malaysia
Sungho Suh Germany
Yiming Miao China
Jean Oh United States
Poly Z. H. Sun China
Hanan Abdullah Mengash Saudi Arabia
Jincai Huang China
Edson Prestes relative to Raj Madhavan United States Raj Madhavan's profile →
Citations per field
00.5×3.2×
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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013131
2 201383
3 202178
4 201273
5 201443
6 201740
7 201839
8 201926
9 200626
10 201923
11 201320
12 202020
13 202219
14 201917
15 201416
16 202116
17 202116
18 201716
19 202315
20 200214

About Edson Prestes

Edson Prestes is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 71 papers that have together received 930 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (21 papers), Semantic Web and Ontologies (12 papers), Robotics and Automated Systems (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Indoor and Outdoor Localization Technologies (9 papers), Modular Robots and Swarm Intelligence (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Industrial and Manufacturing Engineering (122 citations), Control and Systems Engineering (282 citations), Artificial Intelligence (284 citations) and Aerospace Engineering (220 citations). Edson Prestes has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Howard Li, Paulo Gonçalves, Tamás Haidegger, Sandro Rama Fiorini, Vitor A. M. Jorge, Craig Schlenoff, Raj Madhavan, Marcos Barreto, Joel Luís Carbonera and Alaa Khamis. Their work appears in journals such as IEEE Robotics & Automation Magazine, Journal of Intelligent & Robotic Systems, Robotics and Autonomous Systems, Robotics and Computer-Integrated Manufacturing and Journal of Personalized Medicine.

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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