George Mesesan

431 citations
21 papers · 320 · h-index 10

Impact in

    • Robotic Locomotion and Control
    • Prosthetics and Rehabilitation Robotics
    • Muscle activation and electromyography studies
    • Robot Manipulation and Learning
    • Robotic Mechanisms and Dynamics
    • Control and Dynamics of Mobile Robots

Papers in

    • Robotic Locomotion and Control 17
    • Prosthetics and Rehabilitation Robotics 14
    • Muscle activation and electromyography studies 4
    • Robot Manipulation and Learning 4
    • Robotic Mechanisms and Dynamics 2
    • Iterative Learning Control Systems 1

George Mesesan

20 papers receiving 317 citations

Peers

George Mesesan
Comparison fields: 5 of 37
  • Biomedical Engineering 266
  • Control and Systems Engineering 132
  • Genetics 21
  • Computer Vision and Pattern Recognition 37
  • Mechanical Engineering 38
Replace Rafael Cisneros with:
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George Mesesan relative to Rafael Cisneros Japan Rafael Cisneros's profile →
Citations per field
00.5×
Rafael Cisneros · 1×
Citations per year

Countries citing papers authored by George Mesesan

Since Specialization
Citations

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

Fields of papers citing papers by George Mesesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201956
3 201738
4 202126
5 201825
6 201822
7 201713
8 202112
9 201812
10 202310
11 20209
12 20188
13 20226
14 20225
15 20215
16 20194
17 20233
18
Hierarchical Genetic Path Planner for Highly Redundant Manipulators
20152
19 20201
20 20251

About George Mesesan

George Mesesan is a scholar working on Biomedical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering, having authored 21 papers that have together received 320 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (17 papers), Prosthetics and Rehabilitation Robotics (14 papers), Robot Manipulation and Learning (4 papers), Muscle activation and electromyography studies (4 papers), Robotic Path Planning Algorithms (3 papers), Robotic Mechanisms and Dynamics (2 papers), Adipose Tissue and Metabolism (1 paper) and Iterative Learning Control Systems (1 paper). The work is most often cited by research in Biomedical Engineering (266 citations), Control and Systems Engineering (132 citations), Genetics (21 citations), Computer Vision and Pattern Recognition (37 citations) and Mechanical Engineering (38 citations). George Mesesan has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Christian Ott, Johannes Englsberger, Alin Albu‐Schäffer, Gianluca Garofalo, Jinoh Lee, Bernd Henze, Máximo A. Roa, A. Werner, Matthias Althoff and Fumio Kanehiro. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine, IEEE Transactions on Robotics, 2022 International Conference on Robotics and Automation (ICRA) and mediaTUM (Technical University of Munich).

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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