Goele Pipeleers

140 papers receiving 2.0k citations

Peers

Goele Pipeleers
Comparison fields: 5 of 89
  • Control and Systems Engineering 1.6k
  • Mechanical Engineering 476
  • Computer Vision and Pattern Recognition 456
  • Biomedical Engineering 266
  • Computer Networks and Communications 220
Replace Greg Horn with:
Greg Horn Germany
Nabil Derbel Tunisia
Joris Gillis Belgium
Joaquín Carrasco United Kingdom
Myo Taeg Lim South Korea
Mitsuji Sampei Japan
Prabhakar R. Pagilla United States
Luca Consolini Italy
Yantao Tian China
Donghai Li China
Goele Pipeleers relative to Greg Horn Germany Greg Horn's profile →
Citations per field
00.5×10×20×27.8×
Greg Horn · 1×
Citations per year

Countries citing papers authored by Goele Pipeleers

Since Specialization
Citations

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

Fields of papers citing papers by Goele Pipeleers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goele Pipeleers

This figure shows the co-authorship network connecting the top 25 collaborators of Goele Pipeleers. A scholar is included among the top collaborators of Goele Pipeleers 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 Goele Pipeleers. Goele Pipeleers 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
#WorkIndexed citations
1 3
2 14
3 3
4 4
5 8
6 2
7 6
8 5
9 10
10
A combined use of the adaptive inverse plant modeling and iterative learning control strategy for service load simulations
3
11 2
12
Reduced-Order Multi-Objective H-infinity Control of an Overhead Crane Test Setup
1
13 14
14 1
15 0
16 20
17 31
18 51
19
Inputshaping: a linear programming approach
2
20
A convex optimization approach to dynamic musculoskeletal analysis
1

About Goele Pipeleers

Goele Pipeleers is a scholar working on Control and Systems Engineering, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 146 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (43 papers), Iterative Learning Control Systems (40 papers) and Robotic Path Planning Algorithms (34 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Computer Vision and Pattern Recognition (456 citations) and Automotive Engineering (195 citations). Goele Pipeleers has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Jan Swevers, Ruben Van Parys, Bram Demeulenaere, Joris De Schutter, Pieter Janssens, Wannes Van Loock, Lieven Vandenberghe, Tong Duy Son, Moritz Diehl and Panagiotis Patrinos. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

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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