Misha Kilmer | Academic Influence

Misha Kilmer's AcademicInfluence.com Rankings

Misha Kilmer

Mathematics

#3767

World Rank

#5490

Historical Rank

Applied Mathematics

#438

World Rank

#469

Historical Rank

Measure Theory

#3336

World Rank

#3940

Historical Rank

mathematics Degrees

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Mathematics

Misha Kilmer's Degrees

Bachelors Mathematics University of California, Davis

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Why Is Misha Kilmer Influential?

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According to Wikipedia, Misha Elena Kilmer is an American applied mathematician known for her work in numerical linear algebra and scientific computing. She is William Walker Professor of Mathematics at Tufts University. Starting July 1, 2021, she will serve as Deputy Director of ICERM, where she served on the Scientific Advisory Board.

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Misha Kilmer's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Imaging the body with diffuse optical tomography (2001) (758)
Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging (2013) (672)
Factorization strategies for third-order tensors (2011) (603)
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD (2014) (548)
Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems (2000) (309)
Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography (2013) (273)
Efficient determination of multiple regularization parameters in a generalized L-curve framework (2002) (244)
Tomographic optical breast imaging guided by three-dimensional mammography. (2003) (230)
Wavelet domain image restoration with adaptive edge-preserving regularization (2000) (172)
Tensor-Tensor Products with Invertible Linear Transforms (2015) (151)
Facial Recognition Using Tensor-Tensor Decompositions (2013) (149)
Exploiting Residual Information in the Parameter Choice for Discrete Ill-Posed Problems (2006) (134)
A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient. (2000) (126)
Parametric Level Set Methods for Inverse Problems (2010) (115)
A Projection-Based Approach to General-Form Tikhonov Regularization (2007) (105)
Recycling Subspace Information for Diffuse Optical Tomography (2005) (99)
Optimal linear inverse solution with multiple priors in diffuse optical tomography. (2005) (91)
A new shape-based method for object localization and characterization from scattered field data (2000) (72)
A tensor-based dictionary learning approach to tomographic image reconstruction (2015) (66)
A randomized tensor singular value decomposition based on the t‐product (2016) (66)
Three-dimensional shape-based imaging of absorption perturbation for diffuse optical tomography. (2003) (55)
A Third-order Generalization of the Matrix Svd as a Product of Third-order Tensors (2008) (54)
5D seismic data completion and denoising using a novel class of tensor decompositions (2015) (48)
5D and 4D pre-stack seismic data completion using tensor nuclear norm (TNN) (2013) (47)
Randomized algorithms for low-rank tensor decompositions in the Tucker format (2019) (46)
Accuracy considerations in using the PML ABC with FDFD Helmholtz equation computation (2000) (44)
Kronecker product approximation for preconditioning in three-dimensional imaging applications (2006) (44)
Simultaneous multiple regularization parameter selection by means of the L-hypersurface with applications to linear inverse problems posed in the wavelet transform domain (1998) (38)
Iterative Regularization and MINRES (1999) (37)
QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right-Hand Sides (2001) (36)
Clustering multi-way data: a novel algebraic approach (2014) (33)
Tensor-tensor algebra for optimal representation and compression of multiway data (2021) (28)
Stable Tensor Neural Networks for Rapid Deep Learning (2018) (27)
Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising (2011) (26)
A shape-based reconstruction technique for DPDW data. (2000) (25)
A survey of subspace recycling iterative methods (2020) (23)
Nonlinear Parametric Inversion Using Interpolatory Model Reduction (2013) (23)
Decomposing a Tensor (2004) (22)
Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices (2010) (21)
A Framework for Regularization via Operator Approximation (2015) (21)
A Regularized Gauss-Newton Trust Region Approach to Imaging in Diffuse Optical Tomography (2011) (21)
Fast regularized reconstruction of non-uniformly subsampled parallel MRI data (2006) (18)
Cauchy-like Preconditioners for Two-Dimensional Ill-Posed Problems (1999) (17)
Novel Factorization Strategies for Higher Order Tensors: Implications for Compression and Recovery of Multi-linear Data (2013) (17)
Parametric estimation of 3D tubular structures for diffuse optical tomography (2013) (15)
Nonnegative Tensor Decomposition (2014) (15)
Image classification using local tensor singular value decompositions (2017) (13)
Pivoted Cauchy-Like Preconditioners for Regularized Solution of Ill-Posed Problems (1999) (13)
Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography (2016) (12)
Dynamic Graph Convolutional Networks Using the Tensor M-Product (2021) (10)
Fast Algorithms for Hyperspectral Diffuse Optical Tomography (2014) (9)
Kronecker product approximations for dense block Toeplitz‐plus‐Hankel matrices (2007) (9)
An inner–outer iterative method for edge preservation in image restoration and reconstruction (2019) (8)
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications (2019) (8)
Quantifying cellular alignment on anisotropic biomaterial platforms. (2014) (8)
Cortical constraint method for diffuse optical brain imaging (2004) (6)
Direct object localization and characterization from diffuse photon-density wave data (1999) (6)
An admissible solution approach for diffuse optical tomography (2000) (5)
A Wavelet-Based Multilevel Approach for Blind Deconvolution Problems (2014) (5)
Nuclear Norm Optimization and Its Application to Observation Model Specification (2014) (4)
Tensor-Tensor Products for Optimal Representation and Compression (2019) (4)
Randomized Approach to Nonlinear Inversion Combining Simultaneous Random and Optimized Sources and Detectors (2017) (4)
FAST REGULARIZED RECONSTRUCTION OF NON-UNIFORMLY SUBSAMPLED PARTIAL-FOURIER PARALLEL MRI DATA (2007) (4)
Kronecker Product Approximation for Three-Dimensional Imaging Applications (2004) (4)
Multilinear subspace clustering (2015) (4)
Distinguishing shape details of buried nonmetallic minelike objects with GPR (1999) (4)
Feature-Enhancing Inverse Methods for Limited-View Tomographic Imaging Problems (2003) (4)
A statistical algorithm for assessing cellular alignment. (2013) (3)
Analysis and Exploitation of Matrix Structure Arising in Linearized Optical Tomographic Imaging (2007) (3)
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs (2019) (3)
Comparison of linear reconstruction techniques for 3D DPDW imaging of absorption coefficient (1999) (3)
Symmetric Cauchy-like preconditioners for the regularized solution of 1-D ill-posed problems (1997) (3)
A tensor-based dictionary learning approach to tomographic image reconstruction (2016) (2)
Randomized Approach to Nonlinear Inversion Combining Random and Optimized Simultaneous Sources and Detectors (2019) (2)
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions (2021) (2)
"Plug-and-Play" Edge-Preserving Regularization (2014) (2)
A parameter‐choice method that exploits residual information (2007) (2)
Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems (2021) (2)
G.W. Stewart (2010) (2)
Matrix Decompositions: Linpack and Beyond (2010) (1)
Regularization of ill-posed problems using (symmetric) Cauchy-like preconditioners (1998) (1)
Special Section: 2010 Copper Mountain Conference (2011) (1)
Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography (2005) (1)
Papers on the Generalized Eigenproblem (2010) (1)
Sensor Placement using Fisher Information Matrix for Robust Finite Element Model Updating (2015) (1)
Microwave-enhanced infrared thermography (1999) (1)
Least Squares, Projections, and Pseudoinverses (2010) (0)
Papers on Updating and Downdating Matrix Decompositions (2010) (0)
Three Results on Iterative Regularization Three Results on Iterative Regularization (1998) (0)
Research Spotlights (2019) (0)
Papers on Krylov Subspace Methods for the Eigenproblem (2010) (0)
Decomposing a Tensor a Canonical Decomposition and Tensor Rank (2004) (0)
Papers on the Eigenproblem and Invariant Subspaces: Perturbation Theory (2010) (0)
Papers on the SVD, Eigenproblem and Invariant Subspaces: Algorithms (2010) (0)
Introduction to the Commentaries (2010) (0)
Publications, Honors, and Students (2010) (0)
Advances in our understanding of light migration through tissue, the development of tomography algorithms, and experimental verification in phantom systems (2001) (0)
Papers on Least Squares, Projections, and Generalized Inverses (2010) (0)
Updating and Downdating Matrix Decompositions (2010) (0)
Three Results on Iterative Regularization (1998) (0)
Papers on Matrix Decompositions (2010) (0)
Structured Matrix Approximations via Tensor Decompositions (2021) (0)
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR) (2022) (0)
A Statistical Algorithm for Quantifying Cellular Alignment Distributions (2012) (0)
3D parameter reconstruction in hyperspectral diffuse optical tomography (2015) (0)

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