Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Least Squares Support Vector Machine Classifiers
19997.2k citationsJohan A. K. Suykens, Joos Vandewalleprofile →
Least Squares Support Vector Machines
20022.9k citationsJohan A. K. Suykens, Bart De Moor et al.profile →
A Multilinear Singular Value Decomposition
20002.7k citationsBart De Moor, Joos Vandewalle et al.profile →
On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors
20001.1k citationsBart De Moor, Joos Vandewalle et al.profile →
Weighted least squares support vector machines: robustness and sparse approximation
20021.0k citationsJohan A. K. Suykens, Joos Vandewalle et al.profile →
Least Squares Support Vector Machines
2002904 citationsJohan A. K. Suykens, Bart De Moor et al.profile →
The Total Least Squares Problem: Computational Aspects and Analysis.
1992865 citationsSabine Van Huffel, Joos Vandewalle et al.profile →
The total least squares problem computational aspects and analysis
1991719 citationsSabine Van Huffel, Joos Vandewalleprofile →
Benchmarking Least Squares Support Vector Machine Classifiers
2003590 citationsJohan A. K. Suykens, Bart De Moor et al.profile →
Optimal control by least squares support vector machines
2001413 citationsJohan A. K. Suykens, Joos Vandewalle et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Joos Vandewalle
Since
Specialization
Citations
This map shows the geographic impact of Joos Vandewalle'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 Joos Vandewalle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joos Vandewalle more than expected).
This network shows the impact of papers produced by Joos Vandewalle. 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 Joos Vandewalle. The network helps show where Joos Vandewalle may publish in the future.
Co-authorship network of co-authors of Joos Vandewalle
This figure shows the co-authorship network connecting the top 25 collaborators of Joos Vandewalle.
A scholar is included among the top collaborators of Joos Vandewalle 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 Joos Vandewalle. Joos Vandewalle 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
1.
Suykens, Johan A. K., Andreas A. Argyriou, Kris De Brabanter, et al.. (2013). International workshop on advances in regularization, optimization, kernel methods and support vector machines : theory and applications (ROKS 2013). Lirias (KU Leuven). 1–128.1 indexed citations
2.
Tranchevent, Léon-Charles, et al.. (2012). Visualizing high dimensional datasets using parallel coordinaties : application to gene prioritization. International Conference on Bioinformatics. 52–57.1 indexed citations
3.
Batselier, Kim, Philippe Dreesen, Marco Signoretto, et al.. (2012). Joint Regression and Linear Combination of Time Series for Optimal Prediction. The European Symposium on Artificial Neural Networks.
4.
Antal, Péter, et al.. (2000). Incorporation of Prior Knowledge in Black-box Models : Comparison of Transformation Methods from Bayesian Network to Multilayer Perceptrons. Uncertainty in Artificial Intelligence. 7–12.2 indexed citations
5.
Vandewalle, Joos, et al.. (1999). Diffusion analysis of Feistel networks. 11(3). 101–108.
6.
Suykens, Johan A. K., et al.. (1999). Least squares support vector machine classifiers: a large scale algorithm. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 839–842.192 indexed citations
7.
Espinosa, Jairo & Joos Vandewalle. (1998). Predictive Control Using Fuzzy Models Applied to a Steam Generating Unit. 3(4). 151–160.16 indexed citations
Verrelst, Herman, Yves Moreau, Joos Vandewalle, & D. Timmerman. (1997). Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. Neural Information Processing Systems. 10. 978–984.4 indexed citations
10.
Moreau, Yves & Joos Vandewalle. (1997). Equivalence between dynamic one-hidden-layer perceptrons and dynamic perceptrons without hidden layer. 6.
Bosselaers, Antoon, Jason Brandt, David Chaum, et al.. (1993). RIPE integrity primitives Part II Final report of RACE 1040. Department of Computer Science [CS]. 2–118.1 indexed citations
14.
Vandenberghe, Lieven & Joos Vandewalle. (1991). The computation of equilibrium points in cellular neural networks using complementary pivoting. 30–38.3 indexed citations
15.
Vandewalle, Joos, et al.. (1991). A new approach to the design of discrete Hopfield associative memory. 1705–1710.1 indexed citations
16.
Moor, Bart De & Joos Vandewalle. (1987). All nonnegative solutions of sets of linear equations and the linear complementarity problem. International Symposium on Circuits and Systems. 1076–1079.4 indexed citations
17.
Goossens, Gert, Jan M. Rabaey, Joos Vandewalle, & Hugo De Man. (1987). An efficient microcode compiler for custom multiprocessor DSP-systems. International Conference on Computer Aided Design. 24–27.7 indexed citations
18.
Huffel, Sabine Van, et al.. (1984). The total linear least squares problem: formulation, algorithm and applications. International Symposium on Circuits and Systems. 328–331.3 indexed citations
19.
Vandewalle, Joos, Hugo De Man, & Jan M. Rabaey. (1982). A pictorial derivation of the signal processing mechanism of multiphase switched capacitor networks. International Symposium on Circuits and Systems. 25–28.4 indexed citations
20.
Man, H. De, Jan M. Rabaey, Luc Claesen, & Joos Vandewalle. (1981). DIANA-SC : A Complete CAD system for switched capacitor filters. European Solid-State Circuits Conference. 130–133.6 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.