Kris De Brabanter
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Bart De MoorJohan A. K. SuykensJos De BrabanterKristiaan PelckmansPeter KarsmakersDavid WhiteAhmad AlhasanDaniel Attinger
- Topics
- Statistical Methods and Inference (12 papers)Advanced Statistical Methods and Models (9 papers)Control Systems and Identification (8 papers)
- Partner nations
- United StatesBelgiumSweden
In The Last Decade
Kris De Brabanter
42 papers receiving 782 citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 207
- Control and Systems Engineering 182
- Computer Vision and Pattern Recognition 141
- Civil and Structural Engineering 117
- Electrical and Electronic Engineering 88
Countries citing papers authored by Kris De Brabanter
This map shows the geographic impact of Kris De Brabanter'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 Kris De Brabanter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris De Brabanter more than expected).
Fields of papers citing papers by Kris De Brabanter
This network shows the impact of papers produced by Kris De Brabanter. 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 Kris De Brabanter. The network helps show where Kris De Brabanter may publish in the future.
Co-authorship network of co-authors of Kris De Brabanter
This figure shows the co-authorship network connecting the top 25 collaborators of Kris De Brabanter. A scholar is included among the top collaborators of Kris De Brabanter 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 Kris De Brabanter. Kris De Brabanter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients | 4 |
| 3 | 6 | |
| 4 | 19 | |
| 5 | Derivative Estimation in Random Design | 4 |
| 6 | 9 | |
| 7 | 12 | |
| 8 | Methodologies for Studying Human-Microclimate Interactions for Resilient, Smart City Decision-Making | 4 |
| 9 | 7 | |
| 10 | 19 | |
| 11 | International workshop on advances in regularization, optimization, kernel methods and support vector machines : theory and applications (ROKS 2013) | 1 |
| 12 | 44 | |
| 13 | Deconvolution in Nonparametric Statistics | 2 |
| 14 | 42 | |
| 15 | Sparse LS-SVMs with L0-norm minimization | 13 |
| 16 | 2 | |
| 17 | On Robustness in Kernel Based Regression | 2 |
| 18 | 107 | |
| 19 | 87 | |
| 20 | Nonparametric comparison of densities based on statistical bootstrap | 2 |
About Kris De Brabanter
Kris De Brabanter is a scholar working on Statistics and Probability, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 815 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (9 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Computational Mathematics (6 citations), Control and Systems Engineering (182 citations) and Statistics and Probability (63 citations). Kris De Brabanter has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Bart De Moor, Johan A. K. Suykens, Jos De Brabanter, Kristiaan Pelckmans, Peter Karsmakers, David White, Ahmad Alhasan, Daniel Attinger, Joos Vandewalle and Carlos Alzate. Their work appears in journals such as Biometrika, BMC Bioinformatics and Pattern Recognition.
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.