Jos De Brabanter

9.1k citations
54 papers · 6.9k indexed · 3 hit papers · h-index 23
Topics
Control Systems and Identification (13 papers)Fault Detection and Control Systems (11 papers)Advanced Statistical Methods and Models (8 papers)

In The Last Decade

Jos De Brabanter

54 papers receiving 6.6k citations

Hit Papers

Least Squares Support Vector Machines200220262010201820022002200250010001.5k2.0k2.5k

Peers

Jos De Brabanter
Comparison fields: 5 of 195
  • Artificial Intelligence 1.7k
  • Control and Systems Engineering 1.4k
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 738
  • Analytical Chemistry 632
Replace Tony Van Gestel with:
Tony Van Gestel Belgium
Toshihiko Yanase Japan
Joshua Knowles United Kingdom
Xuesong Wang China
Igor Kononenko Slovenia
Russell Reed United States
L.M.C. Buydens Netherlands
Yoichi Hayashi Japan
Iñaki Inza Spain
Chih‐Wei Hsu Taiwan
Jos De Brabanter relative to Tony Van Gestel Belgium Tony Van Gestel's profile →
Citations per field
00.5×1.5×
Tony Van Gestel · 1×
Citations per year

Countries citing papers authored by Jos De Brabanter

Since Specialization
Citations

This map shows the geographic impact of Jos 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 Jos 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 Jos De Brabanter more than expected).

Fields of papers citing papers by Jos De Brabanter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jos 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 Jos De Brabanter. The network helps show where Jos De Brabanter may publish in the future.

Co-authorship network of co-authors of Jos De Brabanter

This figure shows the co-authorship network connecting the top 25 collaborators of Jos De Brabanter. A scholar is included among the top collaborators of Jos 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 Jos De Brabanter. Jos De Brabanter 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 24
2 10
3 22
4 44
5 432
6 42
7
On Robustness in Kernel Based Regression
2
8 107
9 87
10
LS-SVMlab Toolbox User's Guide version 1.7
145
11 108
12 129
13 2
14 23
15 25
16
Robust cross-validation score function for non-linear function estimation
1
17 2
18
Weighted least squares support vector machines: robustness and sparse approximationbreakdown →
1012
19 14
20 443

About Jos De Brabanter

Jos De Brabanter is a scholar working on Statistics and Probability, Control and Systems Engineering and Reproductive Medicine, having authored 54 papers that have together received 6.9k indexed citations. Recurring topics across this work include Control Systems and Identification (13 papers), Fault Detection and Control Systems (11 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Analytical Chemistry (632 citations), Control and Systems Engineering (1.4k citations) and Reproductive Medicine (512 citations). Jos De Brabanter has collaborated with scholars based in Belgium, Sweden and United States. Frequent co-authors include Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, Tony Van Gestel, Kris De Brabanter, Luc De Cooman, Ilse Fraeye, Imogen Foubert, Koen Goiris and Koenraad Muylaert. Their work appears in journals such as The Lancet, IEEE Transactions on Information Theory and American Journal of Obstetrics and Gynecology.

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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