Yu. A. Brychkov
Impact in
- Applied Mathematics top 0.5%
- Mathematical functions and polynomials
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
-
- Mathematical functions and polynomials 34
- Functional Equations Stability Results 5
-
- Advanced Mathematical Identities 16
- Co-authors
- A. P. PrudnikovO. I. MarichevRobert H. RomerNasser SaadK. O. GeddesArjun K. RathiePaschalis C. SofotasiosS. Yu. Slavyanov
In The Last Decade
Yu. A. Brychkov
55 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Applied Mathematics 901
- Modeling and Simulation 256
- Numerical Analysis 254
- Algebra and Number Theory 200
- Mathematical Physics 349
Countries citing papers authored by Yu. A. Brychkov
This map shows the geographic impact of Yu. A. Brychkov'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 Yu. A. Brychkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. A. Brychkov more than expected).
Fields of papers citing papers by Yu. A. Brychkov
This network shows the impact of papers produced by Yu. A. Brychkov. 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 Yu. A. Brychkov. The network helps show where Yu. A. Brychkov may publish in the future.
Co-authors
The 8 scholars most cited alongside Yu. A. Brychkov, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 11 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 16 | |
| 14 | 2015 | 31 | |
| 15 | 2011 | 1 | |
| 16 | 2011 | 34 | |
| 17 | 2011 | 5 | |
| 18 | 2010 | 11 | |
| 19 | 2006 | 2 | |
| 20 | 2005 | 17 |
About Yu. A. Brychkov
Yu. A. Brychkov is a scholar working on Applied Mathematics, Algebra and Number Theory, Modeling and Simulation, Fluid Flow and Transfer Processes and Numerical Analysis, having authored 59 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (34 papers), Advanced Mathematical Identities (16 papers), Fractional Differential Equations Solutions (7 papers), Thermodynamic properties of mixtures (6 papers), Mathematical and Theoretical Analysis (6 papers), Functional Equations Stability Results (5 papers), Iterative Methods for Nonlinear Equations (4 papers) and Quantum Mechanics and Non-Hermitian Physics (4 papers). The work is most often cited by research in Applied Mathematics (901 citations), Modeling and Simulation (256 citations), Numerical Analysis (254 citations), Algebra and Number Theory (200 citations) and Mathematical Physics (349 citations). Yu. A. Brychkov has collaborated with scholars based in Russia, Canada and Romania. Frequent co-authors include A. P. Prudnikov, O. I. Marichev, Robert H. Romer, Nasser Saad, K. O. Geddes, Arjun K. Rathie, Paschalis C. Sofotasios and S. Yu. Slavyanov. Their work appears in journals such as Integral Transforms and Special Functions, Abstract and Applied Analysis, Mathematics of Computation, Applied Mathematics Letters and Applied Mathematics and Computation.
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.