George Mesesan

425 total citations
20 papers, 310 citations indexed

About

George Mesesan is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, George Mesesan has authored 20 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 7 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in George Mesesan's work include Robotic Locomotion and Control (17 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Muscle activation and electromyography studies (4 papers). George Mesesan is often cited by papers focused on Robotic Locomotion and Control (17 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Muscle activation and electromyography studies (4 papers). George Mesesan collaborates with scholars based in Germany, Italy and Austria. George Mesesan's co-authors include Christian Ott, Johannes Englsberger, Alin Albu‐Schäffer, Gianluca Garofalo, Bernd Henze, Jinoh Lee, Máximo A. Roa, A. Werner, Matthias Althoff and Adrien Escande and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.

In The Last Decade

George Mesesan

19 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Mesesan Germany 10 259 129 37 36 24 20 310
Ryosuke Tajima Switzerland 9 276 1.1× 145 1.1× 63 1.7× 37 1.0× 29 1.2× 21 368
Silvio Traversaro Italy 11 242 0.9× 160 1.2× 41 1.1× 66 1.8× 26 1.1× 38 344
Iori Kumagai Japan 12 299 1.2× 180 1.4× 34 0.9× 61 1.7× 29 1.2× 36 363
Eric Whitman United States 9 296 1.1× 174 1.3× 48 1.3× 64 1.8× 33 1.4× 11 379
Seung‐Joon Yi South Korea 12 242 0.9× 137 1.1× 60 1.6× 62 1.7× 37 1.5× 42 335
Kenichi Narioka Japan 12 241 0.9× 68 0.5× 26 0.7× 32 0.9× 18 0.8× 27 305
Sébastien Cotton United States 8 315 1.2× 86 0.7× 23 0.6× 27 0.8× 23 1.0× 10 353
Shintaro Inoue Japan 7 316 1.2× 203 1.6× 42 1.1× 39 1.1× 31 1.3× 21 400
Przemyslaw Kryczka Japan 9 192 0.7× 106 0.8× 23 0.6× 55 1.5× 31 1.3× 23 280
Hiroyuki Aikawa Japan 5 337 1.3× 163 1.3× 41 1.1× 27 0.8× 14 0.6× 8 372

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-authorship network of co-authors of George Mesesan

This figure shows the co-authorship network connecting the top 25 collaborators of George Mesesan. A scholar is included among the top collaborators of George Mesesan 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 George Mesesan. George Mesesan 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
1.
Mesesan, George, Johannes Englsberger, Máximo A. Roa, et al.. (2025). Motion Planning for Humanoid Locomotion: Applications to Homelike Environments. IEEE Robotics & Automation Magazine. 32(1). 35–48. 1 indexed citations
2.
Mesesan, George, et al.. (2023). Agile and Dynamic Standing-Up Control for Humanoids Using 3D Divergent Component of Motion in Multi-Contact Scenario. IEEE Robotics and Automation Letters. 8(9). 5624–5631. 3 indexed citations
3.
Mesesan, George, et al.. (2023). Unified Motion Planner for Walking, Running, and Jumping Using the Three-Dimensional Divergent Component of Motion. IEEE Transactions on Robotics. 39(6). 4443–4463. 9 indexed citations
4.
Santina, Cosimo Della, George Mesesan, Johannes Englsberger, et al.. (2022). Planning Natural Locomotion for Articulated Soft Quadrupeds. 2022 International Conference on Robotics and Automation (ICRA). 6593–6599. 5 indexed citations
5.
Mesesan, George, et al.. (2022). Online Learning of Centroidal Angular Momentum towards Enhancing DCM-based Locomotion. 2022 International Conference on Robotics and Automation (ICRA). 10442–10448. 6 indexed citations
6.
Mesesan, George, Johannes Englsberger, & Christian Ott. (2021). Online DCM Trajectory Adaptation for Push and Stumble Recovery during Humanoid Locomotion. elib (German Aerospace Center). 12780–12786. 12 indexed citations
7.
Mesesan, George, et al.. (2021). Online Centroidal Angular Momentum Reference Generation and Motion Optimization for Humanoid Push Recovery. IEEE Robotics and Automation Letters. 6(3). 5689–5696. 25 indexed citations
8.
Wang, Shengzhi, George Mesesan, Johannes Englsberger, Dongheui Lee, & Christian Ott. (2021). Online Virtual Repellent Point Adaptation for Biped Walking using Iterative Learning Control. elib (German Aerospace Center). hfe 7. 112–119. 5 indexed citations
9.
Englsberger, Johannes, Alexander Dietrich, George Mesesan, et al.. (2020). MPTC – Modular Passive Tracking Controller for stack of tasks based control frameworks. elib (German Aerospace Center). 9 indexed citations
10.
Garofalo, Gianluca & George Mesesan. (2020). A Smooth Uniting Controller for Robotic Manipulators: An Extension of the Adaptive Variance Algorithm (AVA). elib (German Aerospace Center). 3224–3229. 1 indexed citations
11.
Kheddar, Abderrahmane, Máximo A. Roa, Pierre-Brice Wieber, et al.. (2019). Humanoid Robots in Aircraft Manufacturing: The Airbus Use Cases. IEEE Robotics & Automation Magazine. 26(4). 30–45. 59 indexed citations
12.
Henze, Bernd, et al.. (2019). Integration of Dual-Arm Manipulation in a Passivity Based Whole-Body Controller for Torque-Controlled Humanoid Robots. elib (German Aerospace Center). 3. 644–650. 4 indexed citations
13.
Mesesan, George, Johannes Englsberger, Gianluca Garofalo, Christian Ott, & Alin Albu‐Schäffer. (2019). Dynamic Walking on Compliant and Uneven Terrain using DCM and Passivity-based Whole-body Control. elib (German Aerospace Center). 25–32. 56 indexed citations
14.
Englsberger, Johannes, George Mesesan, Christian Ott, & Alin Albu‐Schäffer. (2018). DCM-Based Gait Generation for Walking on Moving Support Surfaces. elib (German Aerospace Center). 1–8. 7 indexed citations
15.
Mesesan, George, Johannes Englsberger, Christian Ott, & Alin Albu‐Schäffer. (2018). Convex Properties of Center-of-Mass Trajectories for Locomotion Based on Divergent Component of Motion. IEEE Robotics and Automation Letters. 3(4). 3449–3456. 20 indexed citations
16.
Mesesan, George, et al.. (2018). Hierarchical Path Planner Using Workspace Decomposition and Parallel Task-Space RRTs. elib (German Aerospace Center). 1–9. 12 indexed citations
17.
Englsberger, Johannes, George Mesesan, A. Werner, & Christian Ott. (2018). Torque-Based Dynamic Walking - A Long Way from Simulation to Experiment. elib (German Aerospace Center). 440–447. 25 indexed citations
18.
Mesesan, George, Johannes Englsberger, Bernd Henze, & Christian Ott. (2017). Dynamic multi-contact transitions for humanoid robots using Divergent Component of Motion. elib (German Aerospace Center). 4108–4115. 12 indexed citations
19.
Englsberger, Johannes, George Mesesan, & Christian Ott. (2017). Smooth trajectory generation and push-recovery based on Divergent Component of Motion. elib (German Aerospace Center). 4560–4567. 37 indexed citations
20.
Mesesan, George, et al.. (2015). Hierarchical Genetic Path Planner for Highly Redundant Manipulators. mediaTUM (Technical University of Munich). 2 indexed citations

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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