Marcelo Becker

80 papers receiving 755 citations

Peers

Marcelo Becker
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 234
  • Industrial and Manufacturing Engineering 113
  • Control and Systems Engineering 221
  • Aerospace Engineering 228
  • Automotive Engineering 89
Replace Zool Hilmi Ismail with:
Zool Hilmi Ismail Malaysia
Zdenko Kovačić Croatia
J. C. Mohanta India
Ankit A. Ravankar Japan
Pierre Payeur Canada
Armando Sousa Portugal
Chengju Liu China
Vítor Santos Portugal
Francisco-Ángel Moreno Spain
Tin Lun Lam China
Marcelo Becker relative to Zool Hilmi Ismail Malaysia Zool Hilmi Ismail's profile →
Citations per field
00.5×2.6×
Zool Hilmi Ismail · 1×
Citations per year

Countries citing papers authored by Marcelo Becker

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200784
2 201877
3 201555
4 202136
5 201035
6 201233
7 200933
8 202227
9 201827
10 200727
11 200624
12 201919
13 201419
14 200716
15 201515
16 201213
17
OBSTACLE AVOIDANCE PROCEDURE FOR MOBILE ROBOTS
200512
18 202011
19 201111
20 200910

About Marcelo Becker

Marcelo Becker is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Automotive Engineering and Plant Science, having authored 85 papers that have together received 797 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (20 papers), Smart Agriculture and AI (13 papers), Adaptive Control of Nonlinear Systems (11 papers), Vehicle Dynamics and Control Systems (9 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Autonomous Vehicle Technology and Safety (7 papers) and Real-time simulation and control systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Industrial and Manufacturing Engineering (113 citations), Control and Systems Engineering (221 citations), Aerospace Engineering (228 citations) and Automotive Engineering (89 citations). Marcelo Becker has collaborated with scholars based in Brazil, Colombia and United States. Frequent co-authors include Roland Siegwart, Samir Bouabdallah, Daniel Varela Magalhães, Kelen Cristiane Teixeira Vivaldini, Girish Chowdhary, Glauco A. P. Caurin, António Paulo Moreira, Luís F. Rocha, Kristijan Maček and Rafael Vidal Aroca. Their work appears in journals such as Journal of Intelligent & Robotic Systems, The International Journal of Advanced Manufacturing Technology, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Robotics & Automation Magazine and Agronomy.

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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