Laurent Sorber

999 total citations
18 papers, 635 citations indexed

About

Laurent Sorber is a scholar working on Computational Mathematics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Laurent Sorber has authored 18 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mathematics, 7 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Laurent Sorber's work include Tensor decomposition and applications (11 papers), Computational Physics and Python Applications (6 papers) and Numerical Methods and Algorithms (3 papers). Laurent Sorber is often cited by papers focused on Tensor decomposition and applications (11 papers), Computational Physics and Python Applications (6 papers) and Numerical Methods and Algorithms (3 papers). Laurent Sorber collaborates with scholars based in Belgium, Switzerland and Germany. Laurent Sorber's co-authors include Lieven De Lathauwer, Marc Van Barel, Otto Debals, Nico Vervliet, Sabine Van Huffel, Maarten De Vos, Borbála Hunyadi, Daan Camps, Wim Van Paesschen and Ignat Domanov and has published in prestigious journals such as IEEE Signal Processing Magazine, SIAM Journal on Numerical Analysis and SIAM Journal on Optimization.

In The Last Decade

Laurent Sorber

16 papers receiving 605 citations

Peers

Laurent Sorber
Comparison fields: 5 of 80
  • Computational Mathematics 371
  • Signal Processing 206
  • Computational Mechanics 181
  • Artificial Intelligence 98
  • Computational Theory and Mathematics 95
Replace Kim Batselier with:
Kim Batselier Hong Kong
Phillip A. Regalia United States
Qibin Zhao Japan
Christopher J. Hillar United States
Eleftherios Kofidis Greece
Carla D. Martin United States
M. Alex O. Vasilescu United States
Maolin Che China
Christine Tobler Switzerland
Kim Batselier Hong Kong View profile →
Citations per field, relative to Laurent Sorber
Laurent Sorber · 1×
Citations per year, relative to Laurent Sorber
Laurent Sorber · 1×

Countries citing papers authored by Laurent Sorber

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Sorber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent Sorber. 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 Laurent Sorber. The network helps show where Laurent Sorber may publish in the future.

Co-authorship network of co-authors of Laurent Sorber

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

All Works

18 of 18 papers shown
# Work Indexed citations
1
An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting.
1
2 16
3 124
4 39
5
Structured data fusion using Tensorlab : a demonstration
3
6
Breaking the Curse of Dimensionality using Decompositions of Incomplete Tensors
4
7
Data Fusion: Tensor Factorizations by Complex Optimization (Data fusie: tensor factorisaties d.m.v. complexe optimalisatie)
1
8 117
9
Structured data fusion with tensorlab
1
10 8
11
Approximating optimal point configurations for multivariate polynomial interpolation
8
12
Exact line and plane search for tensor optimization by global minimization of bivariate polynomials and rational functions
1
13
Computing tensor decompositions with complex and polynomial optimization
1
14 183
15 120
16 6
17
Tensor decompositions by unconstrained optimization of real functions in complex variables
0
18
Block component analysis
2

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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