Mariya Ishteva

613 citations
26 papers · 301 indexed · h-index 9

Mariya Ishteva

24 papers receiving 273 citations

Peers

Mariya Ishteva
Comparison fields: 5 of 53
  • Computational Mathematics 175
  • Computational Theory and Mathematics 83
  • Signal Processing 51
  • Computational Mechanics 98
  • Numerical Analysis 21
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Countries citing papers authored by Mariya Ishteva

Since Specialization
Citations

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

Fields of papers citing papers by Mariya Ishteva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mariya Ishteva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mariya Ishteva Line = papers co-authored together Mariya Ishteva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20230
4 20239
5 20212
6 20211
7 20187
8 20182
9 20181
10 20167
11 201410
12 201343
13 201333
14
Regularized structured low-rank approximation
20130
15 201179
16
Local minima of the best low multilinear rank approximation of tensors
20101
17 201011
18
Numerical Methods for the Best Low Multilinear Rank Approximation of Higher-Order Tensors (Numerieke methoden voor de beste lage multilineaire rang benadering van hogere-orde tensoren)
20096
19 20083
20
Dimensionality reduction for higher-order tensors: algorithms and applications
200818

About Mariya Ishteva

Mariya Ishteva is a scholar working on Computational Mathematics, Computational Mechanics and Signal Processing, having authored 26 papers that have together received 301 indexed citations. Recurring topics across this work include Tensor decomposition and applications (15 papers), Advanced Adaptive Filtering Techniques (9 papers), Control Systems and Identification (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Blind Source Separation Techniques (4 papers), Matrix Theory and Algorithms (4 papers), Statistical and numerical algorithms (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Computational Mathematics (175 citations), Computational Theory and Mathematics (83 citations) and Signal Processing (51 citations). Mariya Ishteva has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Lieven De Lathauwer, Pierre-Antoine Absil, Sabine Van Huffel, Haesun Park, Ramakrishnan Kannan, P.-A. Absil, Paul Van Dooren, J. Schoukens, Philippe Dreesen and Koen Tiels. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Energies, Numerical Linear Algebra with Applications, IEEE Transactions on Microwave Theory and Techniques and Process Safety and Environmental Protection.

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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