Daniel Martins

1.1k citations
79 papers · 604 · h-index 16

Impact in

Papers in

Daniel Martins

67 papers receiving 577 citations

Peers

Daniel Martins
Comparison fields: 5 of 83
  • Control and Systems Engineering 308
  • Industrial and Manufacturing Engineering 85
  • Mechanical Engineering 194
  • Automotive Engineering 54
  • Computer Vision and Pattern Recognition 77
Replace Björn Olofsson with:
Björn Olofsson Sweden
Pavol Božek Slovakia
Ayush Agrawal United States
Weiping Fu China
Baeksuk Chu South Korea
Geraint Bevan United Kingdom
Pingshu Ge China
Michał Pająk Poland
Cristina Castejón Spain
Y.P. Nikitin Russia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Martins

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201758
2 201239
3 200834
4 201031
5 200723
6 202022
7 201020
8 201519
9 201718
10 200518
11 201517
12 201116
13
A hybrid vision system for soccer robots using radial search lines
200716
14 200716
15 200915
16 200615
17 201214
18 201412
19 20189
20 20209

About Daniel Martins

Daniel Martins is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 79 papers that have together received 604 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (34 papers), Robot Manipulation and Learning (15 papers), Mechanical Engineering and Vibrations Research (14 papers), Dynamics and Control of Mechanical Systems (11 papers), Manufacturing Process and Optimization (9 papers), Modular Robots and Swarm Intelligence (7 papers), Soft Robotics and Applications (7 papers) and Vehicle Dynamics and Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (308 citations), Industrial and Manufacturing Engineering (85 citations), Mechanical Engineering (194 citations), Automotive Engineering (54 citations) and Computer Vision and Pattern Recognition (77 citations). Daniel Martins has collaborated with scholars based in Brazil, Colombia and United Kingdom. Frequent co-authors include Henrique Simas, Roberto Simoni, Ubiratan Holanda Bezerra, Armando J. Pinho, António J. R. Neves, João Paulo Abreu Vieira, Alexandre Campos, Edson Roberto De Pieri, Marciel J. Stadnik and Bernardo Cunha. Their work appears in journals such as Mechanism and Machine Theory, Robotica, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, International Journal of Heavy Vehicle Systems and Sensors.

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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