Joris Gillis
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Moritz DiehlGreg HornJames B. RawlingsGil SerrancolíAntoine FalisseChristopher L. DembiaFriedl De GrooteIlse Jonkers
- Topics
- Advanced Control Systems Optimization (18 papers)Robotic Path Planning Algorithms (13 papers)Control Systems and Identification (6 papers)
- Cited by
- Control and Systems EngineeringAutomotive EngineeringComputer Vision and Pattern Recognition
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Joris Gillis
37 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Control and Systems Engineering 1.6k
- Computer Vision and Pattern Recognition 488
- Automotive Engineering 471
- Biomedical Engineering 459
- Electrical and Electronic Engineering 316
Countries citing papers authored by Joris Gillis
This map shows the geographic impact of Joris Gillis'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 Gillis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joris Gillis more than expected).
Fields of papers citing papers by Joris Gillis
This network shows the impact of papers produced by Joris Gillis. 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 Gillis. The network helps show where Joris Gillis may publish in the future.
Co-authorship network of co-authors of Joris Gillis
This figure shows the co-authorship network connecting the top 25 collaborators of Joris Gillis. A scholar is included among the top collaborators of Joris Gillis 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 Gillis. Joris Gillis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 161 | |
| 14 | 47 | |
| 15 | CasADi: a software framework for nonlinear optimization and optimal controlbreakdown → | 2383 |
| 16 | 9 | |
| 17 | Hierarchical seeding for efficient sparsity pattern recovery in automatic differentiation | 2 |
| 18 | 1 | |
| 19 | 10 | |
| 20 | Optimal periodic control of power harvesting tethered airplanes | 1 |
About Joris Gillis
Joris Gillis is a scholar working on Control and Systems Engineering, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (18 papers), Robotic Path Planning Algorithms (13 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Automotive Engineering (471 citations) and Computer Vision and Pattern Recognition (488 citations). Joris Gillis has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Moritz Diehl, Greg Horn, James B. Rawlings, Gil Serrancolí, Antoine Falisse, Christopher L. Dembia, Friedl De Groote, Ilse Jonkers, Jan Swevers and Goele Pipeleers. Their work appears in journals such as PLoS ONE, Automatica and Mechanical Systems and Signal Processing.
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.