Lieven De Lathauwer

18.3k total citations · 4 hit papers
243 papers, 12.1k citations indexed

About

Lieven De Lathauwer is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics. According to data from OpenAlex, Lieven De Lathauwer has authored 243 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Computational Mathematics, 149 papers in Signal Processing and 70 papers in Computational Mechanics. Recurrent topics in Lieven De Lathauwer's work include Tensor decomposition and applications (150 papers), Blind Source Separation Techniques (136 papers) and Advanced Adaptive Filtering Techniques (40 papers). Lieven De Lathauwer is often cited by papers focused on Tensor decomposition and applications (150 papers), Blind Source Separation Techniques (136 papers) and Advanced Adaptive Filtering Techniques (40 papers). Lieven De Lathauwer collaborates with scholars based in Belgium, France and United States. Lieven De Lathauwer's co-authors include Joos Vandewalle, Bart De Moor, Mikael Sørensen, Laurent Sorber, Sabine Van Huffel, Kejun Huang, Xiao Fu, Marc Van Barel, Nicholas D. Sidiropoulos and Ignat Domanov and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Signal Processing.

In The Last Decade

Lieven De Lathauwer

221 papers receiving 11.4k citations

Hit Papers

align trajectories

What are hit papers?

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.

A Multilinear Singular Value Decomposition

2000 2.7k citations Lieven De Lathauwer, Bart De Moor et al. SIAM Journal on Matrix Analysis and Applications profile →
On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors

2000 1.1k citations Lieven De Lathauwer, Bart De Moor et al. SIAM Journal on Matrix Analysis and Applications profile →
Tensor Decomposition for Signal Processing and Machine Learning

2017 981 citations Lieven De Lathauwer, Xiao Fu et al. profile →
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

2015 893 citations Lieven De Lathauwer et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lieven De Lathauwer Belgium	45	7.0k	4.3k	3.3k	1.8k	1.7k	243	12.1k
Tamara G. Kolda United States	36	5.9k 0.8×	1.5k 0.4×	2.8k 0.9×	2.9k 1.6×	2.3k 1.3×	86	13.1k
Brett W. Bader United States	13	4.4k 0.6×	1.1k 0.3×	1.9k 0.6×	1.6k 0.9×	1.5k 0.9×	25	7.7k
Pierre Comon France	37	2.0k 0.3×	6.4k 1.5×	2.0k 0.6×	2.4k 1.3×	1.5k 0.9×	193	10.8k
Nicholas D. Sidiropoulos United States	53	3.2k 0.5×	3.4k 0.8×	2.6k 0.8×	1.6k 0.9×	1.3k 0.7×	360	13.3k
Anh Huy Phan Japan	23	2.4k 0.3×	1.4k 0.3×	1.2k 0.4×	845 0.5×	863 0.5×	100	5.4k
Wotao Yin United States	53	695 0.1×	1.7k 0.4×	9.6k 2.9×	2.6k 1.5×	6.9k 4.0×	176	18.5k
Zhouchen Lin China	55	1.4k 0.2×	1.4k 0.3×	5.0k 1.5×	3.8k 2.1×	10.1k 5.8×	253	14.5k
Liqun Qi Hong Kong	60	7.1k 1.0×	328 0.1×	2.7k 0.8×	770 0.4×	454 0.3×	433	15.6k
Ivan Oseledets Russia	31	3.1k 0.5×	330 0.1×	1.3k 0.4×	1.0k 0.6×	669 0.4×	187	5.7k
John Wright United States	34	588 0.1×	3.6k 0.8×	8.2k 2.5×	3.3k 1.8×	14.9k 8.6×	95	22.5k

Countries citing papers authored by Lieven De Lathauwer

Since Specialization

Citations

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

Fields of papers citing papers by Lieven De Lathauwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lieven De Lathauwer

This figure shows the co-authorship network connecting the top 25 collaborators of Lieven De Lathauwer. A scholar is included among the top collaborators of Lieven De Lathauwer 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 Lieven De Lathauwer. Lieven De Lathauwer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tokcan, Neriman, et al.. (2025). Tensor decompositions for signal processing: Theory, advances, and applications. Signal Processing. 238. 110191–110191.

Domanov, Ignat, et al.. (2024). Decomposition of a Tensor into Multilinear Rank-${(M_{{r}},N_{{r}},\cdot )}$ Terms. SIAM Journal on Matrix Analysis and Applications. 45(3). 1310–1334. 1 indexed citations

Lathauwer, Lieven De, et al.. (2022). $(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. SIAM Journal on Matrix Analysis and Applications. 43(2). 912–938. 7 indexed citations

Bellemans, Inge, Nico Vervliet, Lieven De Lathauwer, Nele Moelans, & Kim Verbeken. (2022). Towards more realistic simulations of microstructural evolution in oxidic systems. Calphad. 77. 102402–102402. 2 indexed citations

Domanov, Ignat & Lieven De Lathauwer. (2020). On uniqueness and computation of the decomposition of a tensor into multilinear rank-$ terms. Lirias (KU Leuven). 16 indexed citations

Fu, Xiao, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, & Nicolas Gillis. (2020). Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.. Lirias (KU Leuven). 1 indexed citations

Hunyadi, Borbála, Daan Camps, Laurent Sorber, et al.. (2014). Block term decomposition for modelling epileptic seizures. EURASIP Journal on Advances in Signal Processing. 2014(1). 39 indexed citations

Deun, Katrijn Van, Iven Van Mechelen, Lieven Thorrez, et al.. (2012). DISCO-SCA and Properly Applied GSVD as Swinging Methods to Find Common and Distinctive Processes. PLoS ONE. 7(5). e37840–e37840. 32 indexed citations

Sorber, Laurent, Marc Van Barel, & Lieven De Lathauwer. (2011). Tensor decompositions by unconstrained optimization of real functions in complex variables. Lirias (KU Leuven).

10.

Domanov, Ignat & Lieven De Lathauwer. (2011). Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors. European Signal Processing Conference. 2215–2218. 2 indexed citations

11.

Lathauwer, Lieven De. (2011). A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation. Lirias (KU Leuven). 558–563. 14 indexed citations

12.

Domanov, Ignat & Lieven De Lathauwer. (2010). Higher order cumulant based blind channel identification : Enhanced line search solutions. 164. 1 indexed citations

13.

Nion, Dimitri & Lieven De Lathauwer. (2006). Levenberg-Marquardt computation of the Block Factor Model for blind multi-user access in wireless communications. European Signal Processing Conference. 1–4. 3 indexed citations

14.

Boyer, Rémy, Lieven De Lathauwer, & Karim Abed‐Meraim. (2005). Delayed Exponential Fitting by Best Tensor Rank-$ Approximation. International Conference on Acoustics, Speech, and Signal Processing. 2 indexed citations

15.

Lathauwer, Lieven De & Joos Vandewalle. (2004). Dimensionality reduction in higher-order signal processing and rank-(R1,R2,…,RN) reduction in multilinear algebra. Linear Algebra and its Applications. 391. 31–55. 117 indexed citations

16.

Lathauwer, Lieven De. (2004). Algebraic techniques for the blind deconvolution of Constant Modulus signals. European Signal Processing Conference. 225–228. 4 indexed citations

17.

Lathauwer, Lieven De & Pierre Comon. (1999). Blind source separation and multichannel deconvolution. Signal Processing. 73. 1–2. 2 indexed citations

18.

Lathauwer, Lieven De. (1997). Signal Processing based on Multilinear Algebra. The Journal of Pediatrics. 227. 184–190.e4. 246 indexed citations

19.

Lathauwer, Lieven De, Bart De Moor, & Joos Vandewalle. (1996). A technique for higher-order-only blind source separation. International Conference on Neural Information Processing. 1223–1228. 5 indexed citations

20.

Lathauwer, Lieven De, Bart De Moor, & Joos Vandewalle. (1994). Blind source separation by higher-order singular value decomposition. European Signal Processing Conference. 175–178. 19 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.

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