Árpád Elbert
Impact in
- Applied Mathematics top 2%
- Mathematical functions and polynomials
- Mathematical Inequalities and Applications
- Functional Equations Stability Results
- Differential Equations and Boundary Problems
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
Papers in
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- Mathematical functions and polynomials 24
- Mathematical Inequalities and Applications 18
- Functional Equations Stability Results 8
- Algebraic and Geometric Analysis 5
- Differential Equations and Boundary Problems 5
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- Analytic and geometric function theory 7
- Co-authors
- Andrea Laforgia (28 shared papers)Ondřej Došlý (2 shared papers)Martin E. Muldoon (2 shared papers)Takaŝi Kusano (1 shared paper)William Ian Miller (1 shared paper)Lee Lorch (2 shared papers)František Neuman (1 shared paper)
In The Last Decade
Árpád Elbert
39 papers receiving 334 citations
Peers
Comparison fields: 5 of 46
- Applied Mathematics 337
- Numerical Analysis 114
- Geometry and Topology 92
- Modeling and Simulation 42
- Algebra and Number Theory 31
Countries citing papers authored by Árpád Elbert
This map shows the geographic impact of Árpád Elbert'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 Árpád Elbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Árpád Elbert more than expected).
Fields of papers citing papers by Árpád Elbert
This network shows the impact of papers produced by Árpád Elbert. 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 Árpád Elbert. The network helps show where Árpád Elbert may publish in the future.
Co-authors
The 7 scholars most cited alongside Árpád Elbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 52 | |
| 2 | 1984 | 41 | |
| 3 | 1999 | 19 | |
| 4 | 1983 | 19 | |
| 5 | 2000 | 18 | |
| 6 | 1990 | 17 | |
| 7 | 1985 | 17 | |
| 8 | 1986 | 17 | |
| 9 | 1984 | 15 | |
| 10 | 2008 | 15 | |
| 11 | 1985 | 15 | |
| 12 | 2000 | 13 | |
| 13 | 2000 | 12 | |
| 14 | 1992 | 10 | |
| 15 | 1994 | 10 | |
| 16 | 1999 | 10 | |
| 17 | Integral characterization of principal solution of half-linear second order differential equations | 2000 | 9 |
| 18 | 1987 | 8 | |
| 19 | 1997 | 7 | |
| 20 | 2000 | 7 |
About Árpád Elbert
Árpád Elbert is a scholar working on Applied Mathematics, Geometry and Topology, Numerical Analysis, Mathematical Physics and Computational Theory and Mathematics, having authored 42 papers that have together received 383 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (24 papers), Mathematical Inequalities and Applications (18 papers), Functional Equations Stability Results (8 papers), Analytic and geometric function theory (7 papers), Algebraic and Geometric Analysis (5 papers), Differential Equations and Boundary Problems (5 papers), Differential Equations and Numerical Methods (4 papers) and Fractional Differential Equations Solutions (4 papers). The work is most often cited by research in Applied Mathematics (337 citations), Numerical Analysis (114 citations), Geometry and Topology (92 citations), Modeling and Simulation (42 citations) and Algebra and Number Theory (31 citations). Árpád Elbert has collaborated with scholars based in Hungary, Italy and Greece. Frequent co-authors include Andrea Laforgia, Ondřej Došlý, Martin E. Muldoon, Takaŝi Kusano, William Ian Miller, Lee Lorch and František Neuman. Their work appears in journals such as SIAM Journal on Mathematical Analysis, Journal of Approximation Theory, Proceedings of the American Mathematical Society, Mathematische Nachrichten and Differential and Integral 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.