Х. Д. Икрамов
- Computational Theory and Mathematics top 1%
- Applied Mathematics top 5%
- Numerical Analysis top 5%
- Electrical and Electronic Engineering
- Algebra and Number Theory top 10%
- Topics
- Matrix Theory and Algorithms (140 papers)graph theory and CDMA systems (56 papers)Advanced Topics in Algebra (44 papers)
- Journals
- SHILAP Revista de lepidopterologíaLinear Algebra and its ApplicationsSIAM Journal on Matrix Analysis and Applications
- Partner nations
- RussiaTajikistanGermany
In The Last Decade
Х. Д. Икрамов
116 papers receiving 503 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 425
- Applied Mathematics 154
- Numerical Analysis 121
- Electrical and Electronic Engineering 118
- Algebra and Number Theory 115
Countries citing papers authored by Х. Д. Икрамов
This map shows the geographic impact of Х. Д. Икрамов'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 Х. Д. Икрамов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Х. Д. Икрамов more than expected).
Fields of papers citing papers by Х. Д. Икрамов
This network shows the impact of papers produced by Х. Д. Икрамов. 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 Х. Д. Икрамов. The network helps show where Х. Д. Икрамов may publish in the future.
Co-authorship network of co-authors of Х. Д. Икрамов
This figure shows the co-authorship network connecting the top 25 collaborators of Х. Д. Икрамов. A scholar is included among the top collaborators of Х. Д. Икрамов 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 Х. Д. Икрамов. Х. Д. Икрамов is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Об одном новом классе нормальных ганкелевых матриц | 2 |
| 12 | 2 | |
| 13 | 44 | |
| 14 | Каноническая форма Шура унитарно квазидиагонализуемой матрицы | 1 |
| 15 | A canonical form for projectors under unitary similarity | 2 |
| 16 | Normality condition for a complex Toeplitz matrix | 8 |
| 17 | Tridiagonal forms of complex symmetric and persymmetric matrices | 1 |
| 18 | The conditionality and expected error of two methods of computing the pseudo-eigenvalues of a complex matrix | 1 |
| 19 | Describing normal Toeplitz matrices | 9 |
| 20 | Symmetrization of complex normal matrices | 2 |
About Х. Д. Икрамов
Х. Д. Икрамов is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Numerical Analysis, having authored 165 papers that have together received 557 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (140 papers), graph theory and CDMA systems (56 papers) and Advanced Topics in Algebra (44 papers). The work is most often cited by research in Computational Theory and Mathematics (425 citations), Algebra and Number Theory (115 citations) and Numerical Analysis (121 citations). Х. Д. Икрамов has collaborated with scholars based in Russia, Tajikistan and Germany. Frequent co-authors include L. Elsner, Alan D. George, Heike Faßbender and Marc Van Barel. Their work appears in journals such as SHILAP Revista de lepidopterología, Linear Algebra and its Applications and SIAM Journal on Matrix Analysis and 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.