Guilherme Maeda

1.4k total citations
46 papers, 914 citations indexed

About

Guilherme Maeda is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Guilherme Maeda has authored 46 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 15 papers in Artificial Intelligence and 14 papers in Mechanical Engineering. Recurrent topics in Guilherme Maeda's work include Robot Manipulation and Learning (28 papers), Reinforcement Learning in Robotics (13 papers) and Robotic Mechanisms and Dynamics (10 papers). Guilherme Maeda is often cited by papers focused on Robot Manipulation and Learning (28 papers), Reinforcement Learning in Robotics (13 papers) and Robotic Mechanisms and Dynamics (10 papers). Guilherme Maeda collaborates with scholars based in Germany, Japan and Australia. Guilherme Maeda's co-authors include Jan Peters, Gerhard Neumann, Rudolf Lioutikov, Marco Ewerton, Kaiji Sato, David Rye, Oliver Kroemer, Heni Ben Amor, Ian R. Manchester and Dorothea Koert and has published in prestigious journals such as The International Journal of Robotics Research, Neural Networks and IEEE Transactions on Control Systems Technology.

In The Last Decade

Guilherme Maeda

45 papers receiving 865 citations

Peers

Guilherme Maeda
Comparison fields: 5 of 58
  • Control and Systems Engineering 665
  • Artificial Intelligence 246
  • Biomedical Engineering 237
  • Mechanical Engineering 220
  • Computer Vision and Pattern Recognition 188
Replace Eitan Marder-Eppstein with:
Eitan Marder-Eppstein United States
Kimitoshi Yamazaki Japan
Clemens Eppner Germany
Wim Meeussen United States
Munsang Kim South Korea
Steffen Knoop Germany
Philippe Bidaud France
Pablo Jiménez Spain
Norman Hendrich Germany
Jeremy Ma United States
Eitan Marder-Eppstein United States View profile →
Citations per field, relative to Guilherme Maeda
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Citations per year, relative to Guilherme Maeda
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Countries citing papers authored by Guilherme Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Guilherme Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Maeda. A scholar is included among the top collaborators of Guilherme Maeda 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 Guilherme Maeda. Guilherme Maeda 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
# Work Indexed citations
1 1
2 2
3 3
4 11
5 8
6 12
7 1
8
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
1
9
Anticipative Interaction Primitives for Human-Robot Collaboration.
4
10 14
11 13
12 55
13 2
14
Semi-Autonomous 3rd-Hand Robot
1
15 64
16 5
17 1
18 7
19
Practical Ultraprecision Positioning of a Ball Screw Mechanism
16
20 19

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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