Ignat Domanov
- Computational Mathematics top 0.2%
- Signal Processing top 5%
- Computational Mechanics top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Co-authors
- Lieven De LathauwerMikael SørensenM. M. MalamudNico VervlietLaurent SorberMarc Van BarelOtto DebalsAlwin Stegeman
- Topics
- Tensor decomposition and applications (17 papers)Matrix Theory and Algorithms (7 papers)Blind Source Separation Techniques (6 papers)
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
- Artificial Intelligence 48
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 of co-authors of Ignat Domanov
This figure shows the co-authorship network connecting the top 25 collaborators of Ignat Domanov. A scholar is included among the top collaborators of Ignat Domanov 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 Ignat Domanov. Ignat Domanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 47 | |
| 9 | 82 | |
| 10 | Exact line and plane search for tensor optimization by global minimization of bivariate polynomials and rational functions | 1 |
| 11 | 96 | |
| 12 | Canonical polyadic decomposition and block term decompositions : uniqueness and signal separation | 1 |
| 13 | Blind channel identification of MISO systems based on the CP decomposition of cumulant tensors | 2 |
| 14 | Higher order cumulant based blind channel identification : Enhanced line search solutions | 1 |
| 15 | 4 | |
| 16 | An enhanced plane search scheme for complex-valued tensor decompositions | 2 |
| 17 | Enhanced line search for blind channel identification based on the Parafac decomposition of cumulant tensors | 2 |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 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) and Blind Source Separation Techniques (6 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 IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing and Linear Algebra and its 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.