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Most cited papers in Computational Mathematics

What are the most cited papers in Computational Mathematics?

The most cited paper in Computational Mathematics is "Tensor Decompositions and Applications" (Tamara G. Kolda, Brett W. Bader, 2009), with 10,717 citations. Next come "Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions" (4,178) and "Generalized Procrustes Analysis" (3,317).

Showing 50 of 99 papers. Every paper with more than 450 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Tensor Decompositions and Applications Tamara G. Kolda, Brett W. Bader · SIAM Review 5 Aug 2009 10,717
2 Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions Nathan Halko, Per‐Gunnar Martinsson, Joel A. Tropp · SIAM Review 2011 4,178
3 Generalized Procrustes Analysis J. C. Gower · Psychometrika Mar 1975 3,317
4 Matrix multiplication via arithmetic progressions Don Coppersmith, Shmuel Winograd · Journal of Symbolic Computation Open access Mar 1990 2,313
5 On the distribution of the largest eigenvalue in principal components analysis Iain M. Johnstone · The Annals of Statistics Open access Apr 2001 2,059
6 The characteristics of subject matter in different academic areas. Anthony Biglan · Journal of Applied Psychology Jun 1973 1,787
7 A flexible R package for nonnegative matrix factorization Renaud Gaujoux, Cathal Seoighe · BMC Bioinformatics Open access 2 Jul 2010 1,700
8 Tensor Decomposition for Signal Processing and Machine Learning Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu et al. · IEEE Transactions on Signal Processing Open access 3 Apr 2017 1,666
9 A Three-Way Model for Collective Learning on Multi-Relational Data Maximilian Nickel, Volker Tresp, Hans‐Peter Kriegel 28 Jun 2011 1,648
10 A Riemannian Framework for Tensor Computing Xavier Pennec, Pierre Fillard, Nicholas Ayache · International Journal of Computer Vision Open access 22 Dec 2005 1,592
11 Eigenvalues of a real supersymmetric tensor Liqun Qi · Journal of Symbolic Computation Open access 20 Jun 2005 1,534
12 MRtrix: Diffusion tractography in crossing fiber regions J‐Donald Tournier, Fernando Calamante, Alan Connelly · International Journal of Imaging Systems and Technology 14 Feb 2012 1,501
13 Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis Andrzej S Cichocki, Danilo P. Mandic, Lieven De Lathauwer et al. · IEEE Signal Processing Magazine Open access 10 Feb 2015 1,417
14 Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis Aaron Towne, Oliver T. Schmidt, Tim Colonius · Journal of Fluid Mechanics Open access 29 May 2018 1,406
15 Factorization strategies for third-order tensors Misha E. Kilmer, Carla D. Moravitz Martin · Linear Algebra and its Applications Open access 26 Oct 2010 1,386
16 A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo · SIAM Journal on Optimization 2013 1,374
17 A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion Yangyang Xu, Wotao Yin · SIAM Journal on Imaging Sciences 2013 1,229
18 STATISTICAL ANALYSIS OF SETS OF CONGENERIC TESTS* Karl G. Jöreskog · ETS Research Bulletin Series Dec 1969 1,208
19 Braided Tensor Categories André Joyal, Ross Street · Advances in Mathematics Open access Nov 1993 1,176
20 Most Tensor Problems Are NP-Hard Christopher J. Hillar, Lek‐Heng Lim · Journal of the ACM Nov 2013 1,165
21 Log‐Euclidean metrics for fast and simple calculus on diffusion tensors Vincent Arsigny, Pierre Fillard, Xavier Pennec et al. · Magnetic Resonance in Medicine Open access 20 Jun 2006 1,115
22 The ITensor Software Library for Tensor Network Calculations Matthew Fishman, Steven R. White, Edwin Miles Stoudenmire · SciPost Physics Codebases Open access 23 Aug 2022 1,053
23 Fixed point and Bregman iterative methods for matrix rank minimization Shiqian Ma, Donald Goldfarb, Lifeng Chen · Mathematical Programming 22 Sep 2009 1,045
24 Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey Lei Deng, Guoqi Li, Song Han et al. · Proceedings of the IEEE 20 Mar 2020 979
25 Nonmetric Individual Differences Multidimensional Scaling: An Alternating Least Squares Method with Optimal Scaling Features Yoshio Takane, Forrest Wade Young, Jan de Leeuw · Psychometrika Mar 1977 958
26 Multiplying matrices faster than coppersmith-winograd Virginia Vassilevska Williams Conference paper 19 May 2012 891
27 hypre: A Library of High Performance Preconditioners Robert D. Falgout, Ulrike Meier Yang · Lecture notes in computer science Conference paperOpen access 2002 885
28 Powers of tensors and fast matrix multiplication François Le Gall Conference paper Jul 2014 882
29 Relationships between subject matter characteristics and the structure and output of university departments. Anthony Biglan · Journal of Applied Psychology Jun 1973 879
30 Solving Systems of Polynomial Equations Bernd Sturmfels · Regional conference series in mathematics Conference paper 12 Sep 2002 856
31 Multilinear Analysis of Image Ensembles: TensorFaces M. Alex O. Vasilescu, Demetri Terzopoulos · Lecture notes in computer science Conference paper 2002 853
32 A Supernodal Approach to Sparse Partial Pivoting James Weldon Demmel, Stanley C. Eisenstat, John R. Gilbert et al. · SIAM Journal on Matrix Analysis and Applications 1999 848
33 Point of view in personal memories Georgia N. Nigro, Ulric Neisser · Cognitive Psychology Oct 1983 837
34 The Multilinear Engine—A Table-Driven, Least Squares Program for Solving Multilinear Problems, Including the n -Way Parallel Factor Analysis Model Pentti Paatero · Journal of Computational and Graphical Statistics Dec 1999 826
35 Processing and visualization for diffusion tensor MRI C.-F. Westin, Stephan E. Maier, Hatsuho Mamata et al. · Medical Image Analysis Jun 2002 818
36 CUR matrix decompositions for improved data analysis Michael W. Mahoney, Petros Drineas · Proceedings of the National Academy of Sciences Open access 12 Jan 2009 812
37 Tensor decompositions for learning latent variable models Animashree Anandkumar, Rong Ge, Daniel Hsu et al. 2014 810
38 Issues and Advances in Segmentation Research Yoram Jerry Wind · Journal of Marketing Research Aug 1978 803
39 Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD Zemin Zhang, Gregory Ely, Shuchin Aeron et al. Conference paper Jun 2014 799
40 Singular Values and Eigenvalues of Tensors: A Variational Approach Lek‐Heng Lim Conference paper 18 Jan 2006 798
41 The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study† Derek Kenton Jones · Magnetic Resonance in Medicine Open access 26 Mar 2004 795
42 Multidimensional Scaling, Tree-Fitting, and Clustering Roger N. Shepard · Science 24 Oct 1980 756
43 Multiverse recommendation Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas et al. Conference paper 26 Sep 2010 740
44 Towards a standardized notation and terminology in multiway analysis Henk A. L. Kiers · Journal of Chemometrics 2000 725
45 Structured Pruning of Deep Convolutional Neural Networks Sajid Anwar, Kyuyeon Hwang, Wonyong Sung · ACM Journal on Emerging Technologies in Computing Systems 9 Feb 2017 723
46 SVD based initialization: A head start for nonnegative matrix factorization Christos Boutsidis, Efstratios Gallopoulos · Pattern Recognition 31 Oct 2007 723
47 A Simpler Approach to Matrix Completion Benjamin Recht · arXiv (Cornell University) PreprintOpen access 5 Oct 2009 719
48 Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions Maxime Descoteaux, Rachid Deriche, Thomas R. Knösche et al. · IEEE Transactions on Medical Imaging Open access 19 Aug 2008 709
49 On the Relationship between iTem Response Theory and Factor Analysis of Discretized Variables Yoshio Takane, Jan de Leeuw · Psychometrika Sep 1987 701
50 Weighted low-rank approximations Nathan Srebro, Tommi Jaakkola · International Conference on Machine Learning Conference paper 21 Aug 2003 699

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.