Diederik Verscheure
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Biomedical Engineering
- Aerospace Engineering
- Co-authors
- Jan SweversJoris De SchutterMoritz DiehlBram DemeulenaereHerman BruyninckxInna SharfHendrik Van Brussel
- Topics
- Robotic Mechanisms and Dynamics (7 papers)Robot Manipulation and Learning (6 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
In The Last Decade
Diederik Verscheure
11 papers receiving 573 citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Control and Systems Engineering 480
- Computer Vision and Pattern Recognition 270
- Mechanical Engineering 104
- Biomedical Engineering 89
- Aerospace Engineering 79
Countries citing papers authored by Diederik Verscheure
This map shows the geographic impact of Diederik Verscheure'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 Diederik Verscheure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diederik Verscheure more than expected).
Fields of papers citing papers by Diederik Verscheure
This network shows the impact of papers produced by Diederik Verscheure. 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 Diederik Verscheure. The network helps show where Diederik Verscheure may publish in the future.
Co-authorship network of co-authors of Diederik Verscheure
This figure shows the co-authorship network connecting the top 25 collaborators of Diederik Verscheure. A scholar is included among the top collaborators of Diederik Verscheure 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 Diederik Verscheure. Diederik Verscheure is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Contributions to Contact Modeling and Identification and Optimal Robot Motion Planning (Bijdragen tot modellering en identificatie van contact en optimale bewegingsplanning voor robots) | 2 |
| 3 | 25 | |
| 4 | 12 | |
| 5 | Time-Optimal Path Tracking for Robots: A Convex Optimization Approachbreakdown → | 399 |
| 6 | 25 | |
| 7 | 59 | |
| 8 | 15 | |
| 9 | Practical Time-Optimal Trajectory Planning for Robots: a Convex Optimization Approach | 17 |
| 10 | 9 | |
| 11 | 9 |
About Diederik Verscheure
Diederik Verscheure is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 11 papers that have together received 588 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (7 papers), Robot Manipulation and Learning (6 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (480 citations), Computer Vision and Pattern Recognition (270 citations) and Industrial and Manufacturing Engineering (48 citations). Diederik Verscheure has collaborated with scholars based in Belgium and Canada. Frequent co-authors include Jan Swevers, Joris De Schutter, Moritz Diehl, Bram Demeulenaere, Herman Bruyninckx, Inna Sharf and Hendrik Van Brussel. Their work appears in journals such as IEEE Transactions on Automatic Control, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.