Scott Kuindersma

3.3k total citations · 2 hit papers
32 papers, 2.0k citations indexed

About

Scott Kuindersma is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Scott Kuindersma has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 13 papers in Control and Systems Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Scott Kuindersma's work include Robotic Locomotion and Control (11 papers), Robotic Path Planning Algorithms (10 papers) and Robot Manipulation and Learning (9 papers). Scott Kuindersma is often cited by papers focused on Robotic Locomotion and Control (11 papers), Robotic Path Planning Algorithms (10 papers) and Robot Manipulation and Learning (9 papers). Scott Kuindersma collaborates with scholars based in United States, United Kingdom and Japan. Scott Kuindersma's co-authors include Conor J. Walsh, Myunghee Kim, Ye Ding, Russ Tedrake, Roderic A. Grupen, Robin Deits, Hongkai Dai, Pat Marion, Andrew G. Barto and Twan Koolen and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Automatica.

In The Last Decade

Scott Kuindersma

31 papers receiving 1.9k citations

Hit Papers

Optimization-based locomotion planning, estimation, and c... 2015 2026 2018 2022 2015 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Kuindersma United States 19 1.3k 766 340 328 209 32 2.0k
Takamitsu Matsubara Japan 23 1000 0.8× 896 1.2× 274 0.8× 518 1.6× 167 0.8× 150 2.0k
Katja Mombaur Germany 23 1.6k 1.3× 670 0.9× 273 0.8× 117 0.4× 253 1.2× 134 2.2k
Rui Huang China 22 579 0.5× 394 0.5× 346 1.0× 137 0.4× 293 1.4× 100 1.6k
Fei Chen China 21 576 0.5× 755 1.0× 284 0.8× 122 0.4× 95 0.5× 151 1.8k
Luis Sentis United States 20 1.8k 1.4× 1.5k 2.0× 377 1.1× 140 0.4× 72 0.3× 102 2.5k
Andrej Gams Slovenia 21 892 0.7× 1.2k 1.5× 268 0.8× 366 1.1× 131 0.6× 73 1.6k
Sang-Ho Hyon Japan 24 1.7k 1.3× 880 1.1× 156 0.5× 125 0.4× 118 0.6× 98 2.1k
Yingbai Hu China 23 732 0.6× 862 1.1× 435 1.3× 223 0.7× 88 0.4× 66 1.8k
Michael Mistry United Kingdom 26 1.8k 1.4× 1.6k 2.1× 380 1.1× 200 0.6× 61 0.3× 80 2.6k
Kosuke Sekiyama Japan 19 792 0.6× 504 0.7× 312 0.9× 174 0.5× 26 0.1× 160 1.6k

Countries citing papers authored by Scott Kuindersma

Since Specialization
Citations

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

Fields of papers citing papers by Scott Kuindersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Kuindersma

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Kuindersma. A scholar is included among the top collaborators of Scott Kuindersma 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 Scott Kuindersma. Scott Kuindersma 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.
Hyun, Nak-seung Patrick, et al.. (2020). A new control framework for flapping-wing vehicles based on 3D pendulum dynamics. Automatica. 123. 109293–109293. 2 indexed citations
2.
Doshi, Neel, et al.. (2019). Effective locomotion at multiple stride frequencies using proprioceptive feedback on a legged microrobot. Bioinspiration & Biomimetics. 14(5). 56001–56001. 23 indexed citations
3.
Ding, Ye, Myunghee Kim, Scott Kuindersma, & Conor J. Walsh. (2018). Human-in-the-loop optimization of hip assistance with a soft exosuit during walking. Science Robotics. 3(15). 431 indexed citations breakdown →
4.
Holman, Matthew J., et al.. (2018). HelioLinC: A Novel Approach to the Minor Planet Linking Problem. The Astronomical Journal. 156(3). 135–135. 22 indexed citations
5.
Kim, Myunghee, Ye Ding, Philippe Malcolm, et al.. (2017). Human-in-the-loop Bayesian optimization of wearable device parameters. PLoS ONE. 12(9). e0184054–e0184054. 102 indexed citations
6.
Manchester, Zachary, Jeffrey I. Lipton, Robert J. Wood, & Scott Kuindersma. (2017). A Variable Forward-Sweep Wing Design for Enhanced Perching in Micro Aerial Vehicles. 55th AIAA Aerospace Sciences Meeting. 12 indexed citations
7.
Manchester, Zachary & Scott Kuindersma. (2017). DIRTREL: Robust Trajectory Optimization with Ellipsoidal Disturbances and LQR Feedback. 13 indexed citations
8.
Manchester, Zachary & Scott Kuindersma. (2016). Derivative-free trajectory optimization with unscented dynamic programming. 3642–3647. 15 indexed citations
9.
Marion, Pat, Maurice Fallon, Robin Deits, et al.. (2016). Director: A User Interface Designed for Robot Operation with Shared Autonomy. Journal of Field Robotics. 34(2). 262–280. 40 indexed citations
10.
Tedrake, Russ, Scott Kuindersma, Robin Deits, & Kanako Miura. (2015). A closed-form solution for real-time ZMP gait generation and feedback stabilization. 55 indexed citations
11.
Kuindersma, Scott, Robin Deits, Maurice Fallon, et al.. (2015). Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot. Autonomous Robots. 40(3). 429–455. 564 indexed citations breakdown →
12.
Kuindersma, Scott, Roderic A. Grupen, & Andrew G. Barto. (2013). Variable risk control via stochastic optimization. The International Journal of Robotics Research. 32(7). 806–825. 24 indexed citations
13.
Kuindersma, Scott, Roderic A. Grupen, & Andrew G. Barto. (2012). Variational Bayesian Optimization for Runtime Risk-Sensitive Control. 7 indexed citations
14.
Konidaris, George, Scott Kuindersma, Roderic A. Grupen, & Andrew G. Barto. (2011). CST: Constructing Skill Trees by Demonstration. International Conference on Machine Learning. 5 indexed citations
15.
Konidaris, George, Scott Kuindersma, Roderic A. Grupen, & Andrew G. Barto. (2011). Robot learning from demonstration by constructing skill trees. The International Journal of Robotics Research. 31(3). 360–375. 183 indexed citations
16.
Konidaris, George, Scott Kuindersma, Roderic A. Grupen, & André Sales Barreto. (2010). Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 23. 1162–1170. 52 indexed citations
17.
Kuindersma, Scott, George Konidaris, Roderic A. Grupen, & Andrew G. Barto. (2010). Learning from a Single Demonstration: Motion Planning with Skill Segmentation. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 2 indexed citations
18.
Kuindersma, Scott. (2010). Control Model Learning for Whole-Body Mobile Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 1939–1940. 1 indexed citations
19.
Blais, Brian S., Mikhail Y. Frenkel, Scott Kuindersma, et al.. (2008). Recovery From Monocular Deprivation Using Binocular Deprivation. Journal of Neurophysiology. 100(4). 2217–2224. 19 indexed citations
20.
Kuindersma, Scott & Brian S. Blais. (2007). Teaching Bayesian Model Comparison With the Three-Sided Coin. The American Statistician. 61(3). 239–244. 4 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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