Ignat Domanov
- Computational Mathematics top 0.2%
- Tensor decomposition and applications 17
- Signal Processing top 5%
- Blind Source Separation Techniques 6
- Digital Filter Design and Implementation 5
- Speech and Audio Processing 2
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques 5
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- Matrix Theory and Algorithms 7
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- Holomorphic and Operator Theory 4
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- Analytic and geometric function theory 3
- Co-authors
- Lieven De LathauwerMikael SørensenM. M. MalamudNico VervlietLaurent SorberMarc Van BarelOtto DebalsAlwin Stegeman
In The Last Decade
Ignat Domanov
20 papers receiving 362 citations
Peers
Comparison fields: 5 of 41
- Computational Mathematics 309
- Signal Processing 171
- Computational Mechanics 125
- Computational Theory and Mathematics 82
- Statistical and Nonlinear Physics 37
Countries citing papers authored by Ignat Domanov
This map shows the geographic impact of Ignat Domanov'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 Ignat Domanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignat Domanov more than expected).
Fields of papers citing papers by Ignat Domanov
This network shows the impact of papers produced by Ignat Domanov. 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 Ignat Domanov. The network helps show where Ignat Domanov may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Ignat Domanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 16 | |
| 4 | 2018 | 17 | |
| 5 | 2018 | 12 | |
| 6 | 2017 | 3 | |
| 7 | 2015 | 16 | |
| 8 | 2015 | 47 | |
| 9 | 2014 | 82 | |
| 10 | Exact line and plane search for tensor optimization by global minimization of bivariate polynomials and rational functions | 2013 | 1 |
| 11 | 2013 | 96 | |
| 12 | Canonical polyadic decomposition and block term decompositions : uniqueness and signal separation | 2012 | 1 |
| 13 | Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors | 2011 | 2 |
| 14 | Higher order cumulant based blind channel identification : Enhanced line search solutions | 2010 | 1 |
| 15 | 2010 | 4 | |
| 16 | An enhanced plane search scheme for complex-valued tensor decompositions | 2010 | 2 |
| 17 | Enhanced line search for blind channel identification based on the Parafac decomposition of cumulant tensors | 2010 | 2 |
| 18 | 2009 | 11 | |
| 19 | 2008 | 1 | |
| 20 | 2002 | 3 |
About Ignat Domanov
Ignat Domanov is a scholar working on Computational Mathematics, Signal Processing and Applied Mathematics, having authored 26 papers that have together received 394 indexed citations. Recurring topics across this work include Tensor decomposition and applications (17 papers), Matrix Theory and Algorithms (7 papers), Blind Source Separation Techniques (6 papers), Digital Filter Design and Implementation (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Holomorphic and Operator Theory (4 papers), Analytic and geometric function theory (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Computational Mathematics (309 citations), Signal Processing (171 citations) and Computational Mechanics (125 citations). Ignat Domanov has collaborated with scholars based in Belgium, Ukraine and Czechia. Frequent co-authors include Lieven De Lathauwer, Mikael Sørensen, M. M. Malamud, Nico Vervliet, Laurent Sorber, Marc Van Barel, Otto Debals, Alwin Stegeman and Patrick Kürschner. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, IEEE Journal of Selected Topics in Signal Processing, Computational Optimization and Applications and Numerical Linear Algebra with Applications.
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.