Yu. Luchko
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods
- Iterative Methods for Nonlinear Equations
- Numerical methods for differential equations
Papers in
-
- Fractional Differential Equations Solutions 8
-
- Nonlinear Differential Equations Analysis 5
- Mathematical functions and polynomials 1
- Co-authors
- Alan D. Freed (1 shared paper)Kai Diethelm (1 shared paper)Neville J. Ford (1 shared paper)Bader Al-Saqabi (1 shared paper)Michail D. Todorov (2 shared papers)Christo I. Christov (2 shared papers)
- Journals
- The European Physical Journal Special Topics (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)Mathematical Modelling of Natural Phenomena (2 papers)Integral Transforms and Special Functions (1 paper)Theory of Probability and Mathematical Statistics (1 paper)
In The Last Decade
Yu. Luchko
8 papers receiving 562 citations
Yu. Luchko's Hit Papers
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 508
- Numerical Analysis 271
- Applied Mathematics 133
- Statistical and Nonlinear Physics 101
- Control and Systems Engineering 97
Countries citing papers authored by Yu. Luchko
This map shows the geographic impact of Yu. Luchko'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. Luchko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. Luchko more than expected).
Fields of papers citing papers by Yu. Luchko
This network shows the impact of papers produced by Yu. Luchko. 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. Luchko. The network helps show where Yu. Luchko may publish in the future.
Co-authors
The 6 scholars most cited alongside Yu. Luchko, 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 | Algorithms for the fractional calculus: A selection of numerical methods Hit paper breakdown → | 2004 | 508 |
| 2 | 2016 | 28 | |
| 3 | 2013 | 28 | |
| 4 | 2019 | 17 | |
| 5 | 2017 | 10 | |
| 6 | 2010 | 7 | |
| 7 | 2020 | 3 | |
| 8 | 2010 | 1 |
About Yu. Luchko
Yu. Luchko is a scholar working on Modeling and Simulation, Applied Mathematics, Numerical Analysis, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 602 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (8 papers), Nonlinear Differential Equations Analysis (5 papers), Iterative Methods for Nonlinear Equations (4 papers), Statistical Mechanics and Entropy (2 papers), Nonlinear Waves and Solitons (1 paper), Nanofluid Flow and Heat Transfer (1 paper), Statistical Distribution Estimation and Applications (1 paper) and Mathematical functions and polynomials (1 paper). The work is most often cited by research in Modeling and Simulation (508 citations), Numerical Analysis (271 citations), Applied Mathematics (133 citations), Statistical and Nonlinear Physics (101 citations) and Control and Systems Engineering (97 citations). Yu. Luchko has collaborated with scholars based in Germany, Kuwait and Belarus. Frequent co-authors include Alan D. Freed, Kai Diethelm, Neville J. Ford, Bader Al-Saqabi, Michail D. Todorov and Christo I. Christov. Their work appears in journals such as The European Physical Journal Special Topics, Computer Methods in Applied Mechanics and Engineering, Mathematical Modelling of Natural Phenomena, Integral Transforms and Special Functions and Theory of Probability and Mathematical Statistics.
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.