Karen Braman

1.9k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Karen Braman is a scholar working on Computational Mathematics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Karen Braman has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mathematics, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Karen Braman's work include Tensor decomposition and applications (7 papers), Algorithms and Data Compression (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Karen Braman is often cited by papers focused on Tensor decomposition and applications (7 papers), Algorithms and Data Compression (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Karen Braman collaborates with scholars based in United States. Karen Braman's co-authors include Randy C. Hoover, Ning Hao, Misha E. Kilmer, Roy Mathias, Ralph Byers and Theresa I. Shireman and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and SIAM Journal on Imaging Sciences.

In The Last Decade

Karen Braman

11 papers receiving 1.2k citations

Hit Papers

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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.

Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging

2013 776 citations Misha E. Kilmer, Karen Braman et al. SIAM Journal on Matrix Analysis and Applications profile →

Peers

Countries citing papers authored by Karen Braman

Since Specialization

Citations

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

Fields of papers citing papers by Karen Braman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Braman

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Tensor discriminant analysis on grassmann manifold with application to video based human action recognition 2024 ·International Journal of Machine Learning and Cybernetics ·(unknown), Randy C. Hoover, (unknown), Karen Braman	1
2	High-Order Multilinear Discriminant Analysis Via Order-N Tensor Eigendecomposition 2022 ·SSRN Electronic Journal ·(unknown), Randy C. Hoover, (unknown), Karen Braman	6
3	Kernelization of Tensor Discriminant Analysis with Application to Image Recognition 2022 ·(unknown), Randy C. Hoover, (unknown), Karen Braman	2
4	Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition 2018 ·Randy C. Hoover, (unknown), Karen Braman	6
5	Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging breakdown → 2013 ·SIAM Journal on Matrix Analysis and Applications ·Misha E. Kilmer, Karen Braman, Ning Hao, Randy C. Hoover	776
6	Facial Recognition Using Tensor-Tensor Decompositions 2013 ·SIAM Journal on Imaging Sciences ·Ning Hao, Misha E. Kilmer, Karen Braman, Randy C. Hoover	137
7	Pose estimation from a single image using tensor decomposition and an algebra of circulants 2011 ·2011 IEEE/RSJ International Conference on Intelligent Robots and Systems ·Randy C. Hoover, Karen Braman, Ning Hao	8
8	Third-Order Tensors as Linear Operators on a Space of Matrices 2010 ·Linear Algebra and its Applications ·Karen Braman	147
9	Impact and Cost-effectiveness of Respiratory Syncytial Virus Prophylaxis for Kansas Medicaid's High-Risk Children 2002 ·Archives of Pediatrics and Adolescent Medicine ·Theresa I. Shireman, Karen Braman	32
10	The Multishift QR Algorithm. Part I: Maintaining Well-Focused Shifts and Level 3 Performance 2002 ·SIAM Journal on Matrix Analysis and Applications ·Karen Braman, Ralph Byers, Roy Mathias	59
11	The Multishift QR Algorithm. Part II: Aggressive Early Deflation 2002 ·SIAM Journal on Matrix Analysis and Applications ·Karen Braman, Ralph Byers, Roy Mathias	63

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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