Mariya Ishteva

Computational Mathematics · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computational Mathematics — 44 citations into it; #223 of 612 by trust here, #173 by citations
• Signal Processing — 32 citations into it; #6,413 of 7,572 by trust here, #5,829 by citations
• Computational Theory and Mathematics — 28 citations into it; #11,396 of 12,182 by trust here, #4,199 by citations
• Artificial Intelligence — 17 citations into it
• Computational Mechanics — 16 citations into it; #7,565 of 10,001 by trust here, #4,450 by citations
• Numerical Methods & Scientific Computing — 14 citations into it; #168 of 266 by trust here, #159 by citations
• Mathematical Optimization — 8 citations into it; #417 of 422 by trust here, #327 by citations
• Numerical Analysis — 7 citations into it

Whom Mariya Ishteva trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lieven De Lathauwer
2. P. Kroonenberg
3. Tamara G. Kolda
4. Trond Steihaug
5. Berkant Savas
6. Jean-François Cardoso
7. Pierre-Antoine Absil
8. Eleftherios Kofidis
9. Ivan V. Oseledets
10. Aapo Hyvärinen

Who trusts Mariya Ishteva overall

1. Berkant Savas
2. O. Curtef
3. Andrzej S. Cichocki
4. Nick Vannieuwenhoven
5. Sergei A. Goreinov
6. Gunther Dirr
7. Ivan V. Oseledets
8. Pierre-Antoine Absil
9. Lek-Heng Lim
10. Anh Huy Phan

Papers from Mariya Ishteva's perspective

Ordered by how strongly the researchers Mariya Ishteva trusts endorse each paper. Same corpus, a different order for every researcher.

1. Some mathematical notes on three-mode factor analysis
2. A Multilinear Singular Value Decomposition
3. Signal Processing based on Multilinear Algebra
4. Blind beamforming for non-gaussian signals
5. Matrix Computations
6. Tensor Decompositions and Applications
7. The Geometry of Algorithms with Orthogonality Constraints
8. Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
9. Rank-One Approximation to High Order Tensors (SIAM Journal on Matrix Analysis and Applications)
10. The Expression of a Tensor or a Polyadic as a Sum of Products

Their papers

• Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme (2011) — 137 citations
• Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors (2008) — 66 citations
• Jacobi Algorithm for the Best Low Multilinear Rank Approximation of Symmetric Tensors (2013) — 56 citations
• On the best low multilinear rank approximation of higher-order tensors (2010) — 35 citations