Luis Sentis

4.3k total citations
102 papers, 2.5k citations indexed

About

Luis Sentis is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luis Sentis has authored 102 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Biomedical Engineering, 61 papers in Control and Systems Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luis Sentis's work include Robotic Locomotion and Control (51 papers), Robot Manipulation and Learning (47 papers) and Prosthetics and Rehabilitation Robotics (46 papers). Luis Sentis is often cited by papers focused on Robotic Locomotion and Control (51 papers), Robot Manipulation and Learning (47 papers) and Prosthetics and Rehabilitation Robotics (46 papers). Luis Sentis collaborates with scholars based in United States, Spain and South Korea. Luis Sentis's co-authors include Oussama Khatib, Nicholas Paine, Sehoon Oh, Jaeheung Park, John W. Warren, Jun-Won Park, Ye Zhao, Donghyun Kim, Chien‐Liang Fok and Gwendolyn Johnson and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Communications of the ACM.

In The Last Decade

Luis Sentis

93 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Sentis United States 20 1.8k 1.5k 441 377 140 102 2.5k
Michael Mistry United Kingdom 26 1.8k 1.0× 1.6k 1.0× 459 1.0× 380 1.0× 200 1.4× 80 2.6k
Jaeheung Park South Korea 23 1.1k 0.6× 1.3k 0.9× 492 1.1× 413 1.1× 107 0.8× 160 2.0k
Sang-Ho Hyon Japan 24 1.7k 0.9× 880 0.6× 300 0.7× 156 0.4× 125 0.9× 98 2.1k
Máximo A. Roa Germany 25 1.8k 1.0× 1.6k 1.1× 448 1.0× 330 0.9× 159 1.1× 123 2.6k
Raffaella Carloni Netherlands 26 1.6k 0.9× 996 0.7× 522 1.2× 471 1.2× 59 0.4× 120 2.5k
Gill A. Pratt United States 21 3.2k 1.7× 1.6k 1.0× 586 1.3× 245 0.6× 160 1.1× 39 3.9k
Hirohiko Arai Japan 22 1.3k 0.7× 1.5k 1.0× 656 1.5× 394 1.0× 50 0.4× 111 2.4k
Sang–Rok Oh South Korea 24 966 0.5× 1.3k 0.8× 524 1.2× 444 1.2× 114 0.8× 218 2.2k
Shin’ichiro Nakaoka Japan 24 1.6k 0.9× 1.2k 0.8× 202 0.5× 514 1.4× 117 0.8× 78 2.1k
Scott Kuindersma United States 19 1.3k 0.7× 766 0.5× 207 0.5× 340 0.9× 328 2.3× 32 2.0k

Countries citing papers authored by Luis Sentis

Since Specialization
Citations

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

Fields of papers citing papers by Luis Sentis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Sentis

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Sentis. A scholar is included among the top collaborators of Luis Sentis 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 Luis Sentis. Luis Sentis 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.
Paine, Nicholas, et al.. (2023). Control and evaluation of a humanoid robot with rolling contact joints on its lower body. Frontiers in Robotics and AI. 10. 1164660–1164660. 4 indexed citations
2.
Mahalingam, R., et al.. (2023). Decentralized Actuator Control Laboratory: Educational Deployment and Analysis of Its Learning Effectiveness. IEEE Transactions on Education. 67(1). 11–19.
3.
Hoffman, Enrico Mingo, et al.. (2023). A Real-Time Approach for Humanoid Robot Walking Including Dynamic Obstacles Avoidance. SPIRE - Sciences Po Institutional REpository. 1–8. 3 indexed citations
4.
Colomé, Adrià, et al.. (2023). Gaussian-process-based robot learning from demonstration. Journal of Ambient Intelligence and Humanized Computing. 10 indexed citations
5.
Bakolas, Efstathios, et al.. (2022). Hierarchical Task-Space Optimal Covariance Control With Chance Constraints. IEEE Control Systems Letters. 6. 2359–2364. 4 indexed citations
6.
Bandyopadhyay, Tirthankar, et al.. (2022). Adaptive robot climbing with magnetic feet in unknown slippery structure. Frontiers in Robotics and AI. 9. 949460–949460. 2 indexed citations
7.
Kim, Donghyun, et al.. (2022). Online Gain Adaptation of Whole-Body Control for Legged Robots with Unknown Disturbances. Frontiers in Robotics and AI. 8. 788902–788902. 9 indexed citations
8.
Khatib, Oussama, et al.. (2022). Constraint-consistent task-oriented whole-body robot formulation: Task, posture, constraints, multiple contacts, and balance. The International Journal of Robotics Research. 41(13-14). 1079–1098. 8 indexed citations
9.
Topcu, Ufuk, et al.. (2021). A Barrier Pair Method for Safe Human-Robot Shared Autonomy. 2021 60th IEEE Conference on Decision and Control (CDC). 2854–2861.
10.
Sentis, Luis, et al.. (2021). Versatile Locomotion Planning and Control for Humanoid Robots. Frontiers in Robotics and AI. 8. 712239–712239. 9 indexed citations
11.
Thomas, Gray C., et al.. (2021). Formulating and Deploying Strength Amplification Controllers for Lower-Body Walking Exoskeletons. Frontiers in Robotics and AI. 8. 720231–720231. 4 indexed citations
12.
Thomas, Gray C., et al.. (2020). Biologically-Inspired Impedance Control With Hysteretic Damping. IEEE Control Systems Letters. 5(5). 1717–1722. 6 indexed citations
13.
Torras, Carme, et al.. (2019). A Versatile Framework for Robust and Adaptive Door Operation with a Mobile Manipulator Robot.. arXiv (Cornell University). 2 indexed citations
14.
15.
Luo, Jianwen, Ye Zhao, Donghyun Kim, Oussama Khatib, & Luis Sentis. (2017). Locomotion control of three dimensional passive-foot biped robot based on whole body operational space framework. 1577–1582. 9 indexed citations
16.
Zhao, Ye, Nicholas Paine, Kwan‐Suk Kim, & Luis Sentis. (2015). Stability and Performance Limits of Latency-Prone Distributed Feedback Controllers. IEEE Transactions on Industrial Electronics. 62(11). 7151–7162. 15 indexed citations
17.
Kim, Donghyun, Gray C. Thomas, & Luis Sentis. (2014). Continuous cyclic stepping on 3D point-foot biped robots via constant time to velocity reversal. 26. 1637–1643. 9 indexed citations
18.
Sentis, Luis, et al.. (2011). Design, construction and control of a fluidic robotic joint for compliant legged locomotion. 887–894. 1 indexed citations
19.
Philippsen, Roland, et al.. (2009). Bridging the Gap Between Semantic Planning and Continuous Control for Mobile Manipulation Using a Graph-Based World Representation. International Joint Conference on Artificial Intelligence. 77–81. 6 indexed citations
20.
Khatib, Oussama, Emel Demircan, Vincent De Sapio, et al.. (2009). Robotics-based synthesis of human motion. Journal of Physiology-Paris. 103(3-5). 211–219. 72 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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