Walter Verdonck

727 total citations
13 papers, 553 citations indexed

About

Walter Verdonck is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Walter Verdonck has authored 13 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Walter Verdonck's work include Robotic Mechanisms and Dynamics (6 papers), Robot Manipulation and Learning (4 papers) and Hydraulic and Pneumatic Systems (3 papers). Walter Verdonck is often cited by papers focused on Robotic Mechanisms and Dynamics (6 papers), Robot Manipulation and Learning (4 papers) and Hydraulic and Pneumatic Systems (3 papers). Walter Verdonck collaborates with scholars based in Belgium, Czechia and Denmark. Walter Verdonck's co-authors include Jan Swevers, Joris De Schutter, Eduard Kühn, F. Ollevier, Trevor F.C. Batten, Frans Vandesande, Herman Bruyninckx, Jean‐Claude Samin, Johan Baeten and Erwin Aertbeliën and has published in prestigious journals such as The International Journal of Robotics Research, General and Comparative Endocrinology and IEEE Control Systems.

In The Last Decade

Walter Verdonck

13 papers receiving 524 citations

Peers

Walter Verdonck
Sabri Tosunoglu United States
H. Benjamín Brown United States
Daniel Kubus Germany
R. Koeppe Germany
Alexander Alspach United States
Woongyong Lee South Korea
Sabri Tosunoglu United States
Walter Verdonck
Citations per year, relative to Walter Verdonck Walter Verdonck (= 1×) peers Sabri Tosunoglu

Countries citing papers authored by Walter Verdonck

Since Specialization
Citations

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

Fields of papers citing papers by Walter Verdonck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Verdonck

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Verdonck. A scholar is included among the top collaborators of Walter Verdonck 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 Walter Verdonck. Walter Verdonck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Swevers, Jan, Walter Verdonck, & Joris De Schutter. (2007). Dynamic model identification for industrial robots - Integrated experiment design and parameter estimation. IEEE Control Systems. 27(5). 58–71. 15 indexed citations
2.
Swevers, Jan, Walter Verdonck, & Joris De Schutter. (2007). Dynamic Model Identification for Industrial Robots. IEEE Control Systems. 27(5). 58–71. 288 indexed citations
3.
Schutter, Joris De, Johan Rutgeerts, Erwin Aertbeliën, et al.. (2006). Unified Constraint-Based Task Specification for Complex Sensor-Based Robot Systems. Lirias (KU Leuven). 3607–3612. 14 indexed citations
4.
Rutgeerts, Johan, Peter Slaets, Wim Meeussen, et al.. (2005). A demonstration tool with Kalman filter data processing for robot programming by human demonstration. Lirias (KU Leuven). 3592–3597. 7 indexed citations
5.
Verdonck, Walter & Jan Swevers. (2003). Improving the dynamic accuracy of industrial robots by trajectory pre-compensation. 4. 3423–3428. 14 indexed citations
6.
Swevers, Jan, et al.. (2002). Maximum Likelihood Identification of a Dynamic Robot Model: Implementation Issues. The International Journal of Robotics Research. 21(2). 89–96. 63 indexed citations
7.
Swevers, Jan, et al.. (2002). An Experimental Robot Load Identification Method for Industrial Application. The International Journal of Robotics Research. 21(8). 701–712. 3 indexed citations
8.
Verdonck, Walter, et al.. (2002). Combining internal and external robot models to improve model parameter estimation. 3. 2846–2851. 1 indexed citations
9.
Swevers, Jan, et al.. (2002). An Experimental Robot Load Identification Method for Industrial Application. The International Journal of Robotics Research. 21(8). 701–712. 52 indexed citations
10.
Verdonck, Walter, Jan Swevers, & Jean‐Claude Samin. (2001). Experimental Robot Identification: Advantages of Combining Internal and External Measurements and of Using Periodic Excitation. Journal of Dynamic Systems Measurement and Control. 123(4). 630–636. 20 indexed citations
11.
Baeten, Johan, Walter Verdonck, Herman Bruyninckx, & Joris De Schutter. (2000). Combining force control and visual servoing for planar contour following. Lirias (KU Leuven). 69–75. 21 indexed citations
12.
Baeten, Johan, Walter Verdonck, & Joris De Schutter. (2000). Improving force controlled planar contour following using on-line eye-in-hand vision based feedforward. Lirias (KU Leuven). 375–378. 4 indexed citations
13.
Verdonck, Walter, et al.. (1986). Immunocytochemical identification and localization of the different cell types in the pituitary of the seabass (Dicentrarchus labrax). General and Comparative Endocrinology. 61(3). 368–375. 51 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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