# Tamara G. Kolda

#42,928

Most Influential Person Now

American applied mathematician

## Tamara G. Kolda's AcademicInfluence.com Rankings

Tamara G. Koldamathematics Degrees

Mathematics

#3120

World Rank

#4667

Historical Rank

Linear Algebra

#16

World Rank

#19

Historical Rank

Applied Mathematics

#161

World Rank

#178

Historical Rank

Measure Theory

#1759

World Rank

#2159

Historical Rank

## Download Badge

Mathematics

## Tamara G. Kolda's Degrees

- PhD Applied Mathematics University of Maryland, College Park
- Masters Applied Mathematics University of Maryland, College Park
- Bachelors Mathematics University of Maryland, College Park

## Similar Degrees You Can Earn

## Why Is Tamara G. Kolda Influential?

(Suggest an Edit or Addition)According to Wikipedia, Tamara G. Kolda is an American applied mathematician and former Distinguished Member of Technical Staff at Sandia National Laboratories. She is noted for her contributions in computational science, multilinear algebra, data mining, graph algorithms, mathematical optimization, parallel computing, and software engineering. She is currently a member of the SIAM Board of Trustees and served as associate editor for both the SIAM Journal on Scientific Computing and the SIAM Journal on Matrix Analysis and Applications.

## Tamara G. Kolda's Published Works

### Published Works

- Tensor Decompositions and Applications (2009) (8165)
- Scalable Tensor Factorizations for Incomplete Data (2010) (534)
- Temporal Link Prediction Using Matrix and Tensor Factorizations (2010) (498)
- Efficient MATLAB Computations with Sparse and Factored Tensors (2007) (466)
- Algorithm 862: MATLAB tensor classes for fast algorithm prototyping (2006) (449)
- Orthogonal Tensor Decompositions (2000) (400)
- Multilinear operators for higher-order decompositions (2006) (380)
- Scalable Tensor Decompositions for Multi-aspect Data Mining (2008) (364)
- Shifted Power Method for Computing Tensor Eigenpairs (2010) (329)
- DAKOTA , A Multilevel Parallel Object-Oriented Framework for Design Optimization , Parameter Estimation , Uncertainty Quantification , and Sensitivity Analysis Version 4 . 0 User ’ s Manual (2006) (303)
- Higher-order Web link analysis using multilinear algebra (2005) (290)
- On Tensors, Sparsity, and Nonnegative Factorizations (2011) (281)
- A scalable optimization approach for fitting canonical tensor decompositions (2011) (265)
- A semidiscrete matrix decomposition for latent semantic indexing information retrieval (1998) (257)
- All-at-once Optimization for Coupled Matrix and Tensor Factorizations (2011) (254)
- Community structure and scale-free collections of Erdös-Rényi graphs (2011) (249)
- The TOPHITS Model for Higher-Order Web Link Analysis∗ (2006) (194)
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) (185)
- MATLAB Tensor Toolbox (2006) (178)
- Link Prediction on Evolving Data Using Matrix and Tensor Factorizations (2009) (161)
- Resolving the sign ambiguity in the singular value decomposition (2008) (158)
- A Scalable Generative Graph Model with Community Structure (2013) (155)
- A Practical Randomized CP Tensor Decomposition (2017) (151)
- Scalable Tensor Factorizations with Missing Data (2010) (140)
- Temporal Analysis of Semantic Graphs Using ASALSAN (2007) (134)
- Parallel Tensor Compression for Large-Scale Scientific Data (2015) (128)
- New Term Weighting Formulas for the Vector Space Method in Information Retrieval (1999) (124)
- Triadic Measures on Graphs: The Power of Wedge Sampling (2012) (118)
- Cross-language information retrieval using PARAFAC2 (2007) (109)
- Generalized Canonical Polyadic Tensor Decomposition (2018) (95)
- Multilinear Algebra for Analyzing Data with Multiple Linkages (2006) (92)
- An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs (2014) (86)
- MATLAB tensor classes for fast algorithm prototyping. (2004) (85)
- Poblano v1.0: A Matlab Toolbox for Gradient-Based Optimization (2010) (84)
- Counting Triangles in Massive Graphs with MapReduce (2013) (73)
- Algorithm 805: computation and uses of the semidiscrete matrix decomposition (1999) (72)
- Using Triangles to Improve Community Detection in Directed Networks (2014) (64)
- Limited-memory matrix methods with applications (1997) (64)
- An in-depth analysis of stochastic Kronecker graphs (2011) (62)
- Wedge sampling for computing clustering coefficients and triangle counts on large graphs † (2013) (60)
- Numerical optimization for symmetric tensor decomposition (2014) (58)
- Measuring and modeling bipartite graphs with community structure (2016) (55)
- An In-depth Study of Stochastic Kronecker Graphs (2011) (53)
- The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models (2011) (51)
- BFGS with Update Skipping and Varying Memory (1998) (51)
- Accelerating Community Detection by Using K-core Subgraphs (2014) (50)
- Newton-based optimization for Kullback–Leibler nonnegative tensor factorizations (2013) (48)
- Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors (2013) (48)
- Temporal Analysis of Social Networks using Three-way DEDICOM (2006) (47)
- Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment (2015) (41)
- Future Directions in Tensor-Based Computation and Modeling (2009) (39)
- COMET: A Recipe for Learning and Using Large Ensembles on Massive Data (2011) (38)
- Stochastic Gradients for Large-Scale Tensor Decomposition (2019) (38)
- Degree relations of triangles in real-world networks and graph models (2012) (37)
- Fast Triangle Counting through Wedge Sampling (2012) (36)
- Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search (2015) (34)
- An Optimization Approach for Fitting Canonical Tensor Decompositions. (2009) (33)
- A Counterexample to the Possibility of an Extension of the Eckart-Young Low-Rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition (2002) (33)
- Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition (2020) (31)
- Software for Sparse Tensor Decomposition on Emerging Computing Architectures (2018) (29)
- TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition (2019) (29)
- A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal (2012) (28)
- Extracting clusters from large datasets with multiple similarity measures. (2007) (28)
- Faster Johnson-Lindenstrauss Transforms via Kronecker Products (2019) (27)
- Symmetric Orthogonal Tensor Decomposition is Trivial (2015) (27)
- Efficiently Computing Tensor Eigenvalues on a GPU (2011) (26)
- Latent Semantic Indexing Via a Semi-Discrete Matrix Decomposition (1999) (25)
- Making Tensor Factorizations Robust to Non-Gaussian Noise (2010) (23)
- Chromosome Identification Using Hidden Markov Models: Comparison with Neural Networks, Singular Value Decomposition, Principal Components Analysis, and Fisher Discriminant Analysis (2000) (23)
- Mining large time-evolving data using matrix and tensor tools (2007) (22)
- Mining large graphs and streams using matrix and tensor tools (2007) (20)
- Directed closure measures for networks with reciprocity (2013) (19)
- Data Sciences Technology for Homeland Security Information Management and Knowledge Discovery (2005) (19)
- Degree Relations of Triangles in Real-world Networks and Models (2012) (17)
- Pattern Analysis of Directed Graphs Using DEDICOM: An Application to Enron Email (2006) (16)
- Generalized BadRank with Graduated Trust (2009) (14)
- Estimating Higher-Order Moments Using Symmetric Tensor Decomposition (2019) (12)
- Dynamics of trust reciprocation in multi-relational networks (2013) (11)
- Exploiting Symmetry in Tensors for High Performance (2013) (10)
- XPCA: Extending PCA for a Combination of Discrete and Continuous Variables (2018) (10)
- A preliminary report on the development of MATLAB tensor classes for fast algorithm prototyping. (2004) (9)
- The importance of directed triangles with reciprocity: patterns and algorithms (2013) (9)
- Tensor Decompositions for Analyzing Multi-link Graphs. (2008) (6)
- A scalable directed graph model with reciprocal edges (2012) (6)
- An improved hyperbolic embedding algorithm (2018) (6)
- Newton-Based Optimization for Nonnegative Tensor Factorizations (2013) (6)
- Tensor Moments of Gaussian Mixture Models: Theory and Applications (2022) (4)
- TuckerMPI (2020) (4)
- A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs (2011) (4)
- Nonnegative Tensor Factorizations for Sparse Count Data. (2011) (4)
- A brief summary on formalizing parallel tensor distributions redistributions and algorithm derivations. (2015) (3)
- Hidden Markov models for chromosome identification (2001) (3)
- The MATLAB tensor toolbox for efficient computations with sparse and factored tensors. (2007) (3)
- Tensor decompositions and their application. (2007) (3)
- MATLAB tensor classes for fast algorithm prototyping : source code. (2004) (3)
- On Reciprocity in Massively Multi-player Online Game Networks (2013) (2)
- Exploiting Symmetry in Tensors for High Performance: An Initial Study (2013) (2)
- Dynamics of Trust Reciprocation in Heterogenous MMOG Networks (2013) (2)
- Streaming Generalized Canonical Polyadic Tensor Decompositions (2021) (1)
- The BTER Graph Model: Blocked Two-Level Erdos-Renyi. (2011) (1)
- Tensor Decompositions and Data Mining. (2007) (1)
- NeuroResource Unsupervised Discovery o f Demixed , Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis Graphical (2018) (1)
- Sketching Matrix Least Squares via Leverage Scores Estimates (2022) (1)
- CPOPT : optimization for fitting CANDECOMP/PARAFAC models. (2008) (1)
- An Adaptive Power Method for the Generalized Tensor Eigenproblem. (2014) (1)
- Orthogonal Rank Decompositions for Tensors (1999) (1)
- Definition 2 . 6 ( Mode-n matrix product ) The n-mode matrix product (2008) (0)
- Dynamical activity patterns in the macaque posterior parietal cortex during path integration (2017) (0)
- Challenges of Modeling Directed Networks. (2013) (0)
- C%2B%2B tensor toolbox user manual. (2012) (0)
- Computational optimization for tensor decompositions (2014) (0)
- Special Section on Two Themes: Planet Earth and Big Data (2014) (0)
- Computing Tensor Eigenvalues: Theory and Practice. (2011) (0)
- SAND 2006-2081 Unclassified Unlimited Release Printed April 2006 Multilinear operators for higher-order decompositions (2006) (0)
- Low-rank continuous tensor decomposition for prediction, optimization, and design∗ (2017) (0)
- Numerical optimization for symmetric tensor decomposition (2015) (0)
- Analytics for Cyber Network Defense (2011) (0)
- The Canonical Tensor Decomposition and Its Applications to Data Analysis. (2009) (0)
- The Block Two-level Erdos Renyi (BTER) Graph Model. (2012) (0)
- Community Detection for Large Graphs. (2014) (0)
- Modeling Large-Scale Networks. (2015) (0)
- Maintaining An Online Publication List. (2013) (0)
- Final Report: Parallel Tensor Decompositions for Massive Heterogeneous Incomplete Data (LDRD Project 199986). (2019) (0)
- The Inherent Community Structure in Real-World Graphs. (2012) (0)
- Graph Characterization and Sampling Algorithms. (2015) (0)
- The Role of Theory and Data Analysis in Generating Massive Realistic Networks. (2013) (0)
- Computing the Largest Entries in a Matrix Product via Sampling. (2015) (0)
- LDRD final report : leveraging multi-way linkages on heterogeneous data. (2010) (0)
- Analyzing Modeling and Generating BIG Networks. (2013) (0)
- SAND 2011-1877 Unlimited Release Printed March 2011 Making Tensor Factorizations Robust to Non-Gaussian Noise (2011) (0)
- Workshop on Women of Applied Mathematics: Research and Leadership (2004) (0)
- IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011) (2011) (0)
- SAND 2010-6131 XXXX Unlimited Release Printed October 2010 Shifted Power Method for Computing Tensor Eigenpairs (2010) (0)
- Randomized Algorithms and Their Role in Scientiﬁc Computing (2017) (0)
- Scalable Methods for Characterizing and Generating Large Graphs. (2012) (0)
- Scalable methods for representing, characterizing, and generating large graphs. (2010) (0)
- Preliminary versions of the MATLAB tensor classes for fast algorithm prototyping. (2004) (0)
- Erratum: Resolving the sign ambiguity in the singular value decomposition (2008) (0)
- Generating Large Graphs for benchmarking. (2014) (0)
- The Block Two-Level Erd&%23246s-R&%23233nyi (BTER) Graph Model. (2012) (0)
- Analytical and Algorithmic Challenges in Network Analysis. (2014) (0)
- The BTER Graph Generator: A Scalable Model with Measurable Community Structure. (2012) (0)
- Sandia Software for Networks from DARPA GRAPHS Program. (2014) (0)
- A Scalable Null Model to Match All Degree Distributions: In Out and Reciprocal. (2013) (0)
- Models for Generating Large Realistic Graphs (2011) (0)
- Preface to the special issue on tensors and multilinear algebra (2013) (0)
- Data Mining on Attributed Relationship Graphs (ARGs). (2007) (0)
- Unsupervised Learning Through Randomized Algorithms for High-Volume High-Velocity Data (ULTRA-HV). (2018) (0)
- Symmetric Tensor Decomposition via a Power Method for the Generalized Tensor Eigenproblem. (2012) (0)
- Introduction to SIAM Journal on Mathematics of Data Science (SIMODS) (2019) (0)
- Generalized Canonical Polyadic Tensor Decompositions for Streaming Data. (2021) (0)
- Scalable symmetric Tucker tensor decomposition (2022) (0)
- Fast Algorithms for Evolving Graphs via Assays Sampling and Theory. (2012) (0)

This paper list is powered by the following services:

## Other Resources About Tamara G. Kolda

## What Schools Are Affiliated With Tamara G. Kolda?

Tamara G. Kolda is affiliated with the following schools: