Samuel S. Bueno

977 citations
33 papers · 649 indexed · h-index 14

Samuel S. Bueno

33 papers receiving 621 citations

Peers

Samuel S. Bueno
Comparison fields: 5 of 57
  • Aerospace Engineering 507
  • Ocean Engineering 186
  • Computer Vision and Pattern Recognition 118
  • Automotive Engineering 60
  • Control and Systems Engineering 109
Replace Ely C. de Paiva with:
Ely C. de Paiva Brazil
Mikael Svenstrup Denmark
Josué J. G. Ramos Brazil
Pratik Agarwal Germany
Xiangju Qu China
Javier V. Gómez Spain
Aaron Morris United States
Mario Gianni Italy
Bashar I. Ahmad United Kingdom
Patrick C. Leger United States
Samuel S. Bueno relative to Ely C. de Paiva Brazil Ely C. de Paiva's profile →
Citations per field
00.5×1.6×
Ely C. de Paiva · 1×
Citations per year

Countries citing papers authored by Samuel S. Bueno

Since Specialization
Citations

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

Fields of papers citing papers by Samuel S. Bueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Bueno. 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 Samuel S. Bueno. The network helps show where Samuel S. Bueno may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Samuel S. Bueno, 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 Samuel S. Bueno Line = papers co-authored together Samuel S. Bueno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201933
2 20183
3 20184
4 201642
5 200712
6 200713
7 200635
8 20061
9 200358
10 20038
11 20036
12 200210
13 200251
14 2002108
15 20016
16 20003
17 19999
18 199923
19 19994
20 199821

About Samuel S. Bueno

Samuel S. Bueno is a scholar working on Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 649 indexed citations. Recurring topics across this work include Aerospace Engineering and Energy Systems (20 papers), Underwater Vehicles and Communication Systems (17 papers), Robotic Path Planning Algorithms (9 papers), Spacecraft Dynamics and Control (7 papers), Biomimetic flight and propulsion mechanisms (5 papers), Vehicle Dynamics and Control Systems (4 papers), Soil Mechanics and Vehicle Dynamics (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Aerospace Engineering (507 citations), Ocean Engineering (186 citations) and Computer Vision and Pattern Recognition (118 citations). Samuel S. Bueno has collaborated with scholars based in Brazil, Portugal and France. Frequent co-authors include Ely C. de Paiva, José Raúl Azinheira, Marcel Bergerman, Josué J. G. Ramos, Alberto Elfes, Alexandra Moutinho, Patrick Rives, Cheryl Frenck‐Mestre, Alessandro Corrêa Victorino and Paulo Ferreira. Their work appears in journals such as Proceedings of the IEEE, Brain and Language and Journal of Guidance Control and Dynamics.

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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