Sabir Umarov
- Statistical and Nonlinear Physics top 2%
- Modeling and Simulation top 0.5%
- Economics and Econometrics top 5%
- Applied Mathematics top 5%
- Numerical Analysis top 5%
- Co-authors
- Stanly SteinbergConstantino TsallisMarjorie G. HahnRudolf GorenfloKei KobayashiMurray Gell‐MannRavshan AshurovSumiyoshi Abe
- Topics
- Fractional Differential Equations Solutions (23 papers)Statistical Mechanics and Entropy (12 papers)Differential Equations and Numerical Methods (9 papers)
- Journals
- Physics Letters APhysica A Statistical Mechanics and its ApplicationsJournal of Differential Equations
- Partner nations
- United StatesUzbekistanBrazil
In The Last Decade
Sabir Umarov
33 papers receiving 777 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 406
- Modeling and Simulation 373
- Economics and Econometrics 202
- Applied Mathematics 184
- Numerical Analysis 147
Countries citing papers authored by Sabir Umarov
This map shows the geographic impact of Sabir Umarov'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 Sabir Umarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabir Umarov more than expected).
Fields of papers citing papers by Sabir Umarov
This network shows the impact of papers produced by Sabir Umarov. 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 Sabir Umarov. The network helps show where Sabir Umarov may publish in the future.
Co-authorship network of co-authors of Sabir Umarov
This figure shows the co-authorship network connecting the top 25 collaborators of Sabir Umarov. A scholar is included among the top collaborators of Sabir Umarov 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 Sabir Umarov. Sabir Umarov 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 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | Fokker-Planck-Kolmogorov equations associated with time-changed fractional Brownian motion | 49 |
| 13 | 71 | |
| 14 | 67 | |
| 15 | Generalization of symmetric $\alpha$-stable Lévy distributions for $q>1$ | 2 |
| 16 | 236 | |
| 17 | 16 | |
| 18 | 27 | |
| 19 | A Fractional Analog of the Duhamel Principle | 18 |
| 20 | 57 |
About Sabir Umarov
Sabir Umarov is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 33 papers that have together received 820 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (23 papers), Statistical Mechanics and Entropy (12 papers) and Differential Equations and Numerical Methods (9 papers). The work is most often cited by research in Modeling and Simulation (373 citations), Statistical and Nonlinear Physics (406 citations) and Numerical Analysis (147 citations). Sabir Umarov has collaborated with scholars based in United States, Uzbekistan and Brazil. Frequent co-authors include Stanly Steinberg, Constantino Tsallis, Marjorie G. Hahn, Rudolf Gorenflo, Kei Kobayashi, Murray Gell‐Mann, Ravshan Ashurov, Sumiyoshi Abe, Andrea Rapisarda and P. Quarati. Their work appears in journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Journal of Differential Equations.
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.