Joris De Schutter

11.5k total citations · 3 hit papers
363 papers, 8.1k citations indexed

About

Joris De Schutter is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Joris De Schutter has authored 363 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 234 papers in Control and Systems Engineering, 122 papers in Mechanical Engineering and 82 papers in Biomedical Engineering. Recurrent topics in Joris De Schutter's work include Robot Manipulation and Learning (133 papers), Robotic Mechanisms and Dynamics (94 papers) and Teleoperation and Haptic Systems (64 papers). Joris De Schutter is often cited by papers focused on Robot Manipulation and Learning (133 papers), Robotic Mechanisms and Dynamics (94 papers) and Teleoperation and Haptic Systems (64 papers). Joris De Schutter collaborates with scholars based in Belgium, United States and Canada. Joris De Schutter's co-authors include Herman Bruyninckx, Jan Swevers, H. Van Brussel, Bram Demeulenaere, Erwin Aertbeliën, Tine Lefebvre, Tinne De Laet, Friedl De Groote, Ilse Jonkers and Chris Ganseman and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Joris De Schutter

349 papers receiving 7.7k citations

Hit Papers

KRAS wild-type state pred... 1997 2026 2006 2016 2007 1997 2009 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joris De Schutter 4.7k 2.4k 2.2k 1.2k 878 363 8.1k
Yoshihiko Nakamura 7.8k 1.7× 5.9k 2.5× 1.8k 0.8× 3.8k 3.2× 1.3k 1.5× 597 14.4k
Wan Kyun Chung 3.6k 0.8× 1.8k 0.8× 1.7k 0.8× 1.1k 1.0× 1.1k 1.3× 445 6.7k
Jianwei Zhang 1.6k 0.4× 2.1k 0.9× 1.2k 0.6× 1.4k 1.2× 929 1.1× 450 6.0k
Septimiu E. Salcudean 2.9k 0.6× 5.3k 2.2× 3.4k 1.6× 1.5k 1.3× 553 0.6× 387 10.3k
Max Q.‐H. Meng 2.5k 0.5× 2.9k 1.2× 1.3k 0.6× 5.5k 4.7× 3.6k 4.1× 755 13.9k
Rajni V. Patel 4.5k 1.0× 5.0k 2.1× 2.8k 1.3× 1.3k 1.1× 679 0.8× 544 11.0k
H. Inoue 1.7k 0.4× 2.0k 0.9× 509 0.2× 1.3k 1.1× 667 0.8× 241 4.9k
Chenguang Yang 12.8k 2.7× 4.6k 2.0× 3.3k 1.5× 2.6k 2.2× 1.7k 2.0× 668 19.0k
Peter K. Allen 3.5k 0.8× 2.4k 1.0× 824 0.4× 2.5k 2.1× 1.7k 1.9× 129 6.5k
Lakmal Seneviratne 3.2k 0.7× 3.7k 1.6× 2.1k 1.0× 1.5k 1.2× 1.2k 1.3× 395 9.3k

Countries citing papers authored by Joris De Schutter

Since Specialization
Citations

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

Fields of papers citing papers by Joris De Schutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joris De Schutter. 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 Joris De Schutter. The network helps show where Joris De Schutter may publish in the future.

Co-authorship network of co-authors of Joris De Schutter

This figure shows the co-authorship network connecting the top 25 collaborators of Joris De Schutter. A scholar is included among the top collaborators of Joris De Schutter 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 Joris De Schutter. Joris De Schutter 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.
Viljoen, R. P., et al.. (2024). Contactless Surface Following with Acceleration Limits: Enhancing Robot Manipulator Performance through Model Predictive Control. Lirias (KU Leuven). 3594–3599. 1 indexed citations
2.
Schutter, Joris De, et al.. (2024). Enhancing motion trajectory segmentation of rigid bodies using a novel screw-based trajectory-shape representation. Lirias (KU Leuven). 14. 7179–7185. 2 indexed citations
3.
Laet, Tinne De, et al.. (2023). Invariant Descriptors of Motion and Force Trajectories for Interpreting Object Manipulation Tasks in Contact. IEEE Transactions on Robotics. 39(6). 4892–4912. 2 indexed citations
4.
Ancillao, Andrea, et al.. (2022). A Novel Procedure for Knee Flexion Angle Estimation Based on Functionally Defined Coordinate Systems and Independent of the Marker Landmarks. International Journal of Environmental Research and Public Health. 20(1). 500–500. 4 indexed citations
6.
Ancillao, Andrea, Erwin Aertbeliën, & Joris De Schutter. (2022). Effect of the soft tissue artifact on marker measurements and on the calculation of the helical axis of the knee during a squat movement: A study on the CAMS-Knee dataset.. Medical Engineering & Physics. 110(1). 103915–103915. 3 indexed citations
7.
Decré, Wilm, et al.. (2021). Shape-Preserving and Reactive Adaptation of Robot End-Effector Trajectories. IEEE Robotics and Automation Letters. 6(2). 667–674. 4 indexed citations
9.
Aertbeliën, Erwin, et al.. (2018). Estimating Contact Forces and Moments for Walking Robots and Exoskeletons Using Complementary Energy Methods. IEEE Robotics and Automation Letters. 3(4). 3410–3417. 10 indexed citations
10.
Tejpar, Sabine, Wendy De Roock, Bart Biesmans, et al.. (2008). Correlation of high amphiregulin and epiregulin expression in KRAS wild type colorectal primaries with response and survival benefit after treatment with cetuximab and irinotecan for metastatic disease.. Ghent University Academic Bibliography (Ghent University). 9 indexed citations
11.
Demeulenaere, Bram, et al.. (2008). Optimal counterweight balancing of spatial mechanisms using voxel-based discretizations. Lirias (KU Leuven). 2 indexed citations
12.
Demeulenaere, Bram, et al.. (2006). Counterweight balancing for machine frame vibration reduction: design and robustness analysis. Lirias (KU Leuven). 1 indexed citations
13.
Demeulenaere, Bram, Jan Swevers, & Joris De Schutter. (2006). A convex quadratic programming approach for link shape optimization with dynamic considerations. Lirias (KU Leuven). 1 indexed citations
14.
Demeulenaere, Bram, Jan Swevers, & Joris De Schutter. (2004). A Convex optimization framework for dynamic balancing of planar linkages. Lirias (KU Leuven). 1997–2010. 3 indexed citations
15.
Denis, Kathleen, Johan Bellemans, Jos Vander Sloten, et al.. (2002). Force control for registration and bone-machining in robot-assisted total knee arthroplasty. Lirias (KU Leuven). 1 indexed citations
16.
Oussalah, Mourad, Herman Bruyninckx, & Joris De Schutter. (1999). Contact identification using fuzzy linear regression. Lirias (KU Leuven). 2 indexed citations
17.
Denis, Kathleen, Jos Vander Sloten, Remy Van Audekercke, et al.. (1999). Accuracy of the registration of the tibia by means of an intramedullary rod for robot-assisted total knee arthroplasty. 1035. 2 indexed citations
18.
Denis, Kathleen, Jos Vander Sloten, Remy Van Audekercke, et al.. (1998). A force controlled robot as a surgical tool in total knee arthroplasty. Lirias (KU Leuven). 1 indexed citations
19.
Ganseman, Chris, Jan Swevers, Joris De Schutter, & Hendrik Van Brussel. (1994). Experimental robot identification using optimized periodic trajectories. 585–595. 1 indexed citations
20.
Schutter, Joris De, et al.. (1988). Tracking in compliant robot motion: automatic generation of the task frame trajectory based on observation of the natural constraints. International Symposium on Robotics. 127–135. 9 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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