G. Freud
Impact in
- Numerical Analysis top 2%
- Mathematical Approximation and Integration
- Iterative Methods for Nonlinear Equations
- Applied Mathematics top 1%
- Mathematical functions and polynomials
- Differential Equations and Boundary Problems
Papers in
-
- Mathematical functions and polynomials 18
- Statistical and numerical algorithms 3
-
- Iterative Methods for Nonlinear Equations 7
- Mathematical Approximation and Integration 5
- Co-authors
- P. Erdös (1 shared paper)H. N. Mhaskar (1 shared paper)André Giroux (2 shared papers)Q. I. Rahman (2 shared papers)J. Szabados (1 shared paper)Anand Sharma (1 shared paper)Z. Ditzian (1 shared paper)Donald J. Newman (1 shared paper)
- Journals
- Canadian Journal of Mathematics (4 papers)Acta Mathematica Academiae Scientiarum Hungaricae (30 papers)Journal of Approximation Theory (3 papers)Studia Mathematica (3 papers)Proceedings of the London Mathematical Society (1 paper)
- Partner nations
- HungaryUnited StatesCanada
In The Last Decade
G. Freud
52 papers receiving 483 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 241
- Applied Mathematics 462
- Algebra and Number Theory 88
- Statistics and Probability 127
- Modeling and Simulation 47
Countries citing papers authored by G. Freud
This map shows the geographic impact of G. Freud'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 G. Freud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Freud more than expected).
Fields of papers citing papers by G. Freud
This network shows the impact of papers produced by G. Freud. 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 G. Freud. The network helps show where G. Freud may publish in the future.
Co-authors
The 10 scholars most cited alongside G. Freud, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 72 | |
| 2 | 1977 | 57 | |
| 3 | 1969 | 44 | |
| 4 | 1958 | 26 | |
| 5 | 1986 | 24 | |
| 6 | 1973 | 24 | |
| 7 | 1969 | 20 | |
| 8 | 1978 | 20 | |
| 9 | 1974 | 19 | |
| 10 | 1951 | 19 | |
| 11 | 1971 | 18 | |
| 12 | 1959 | 17 | |
| 13 | 1972 | 17 | |
| 14 | 1954 | 17 | |
| 15 | 1983 | 17 | |
| 16 | 1954 | 15 | |
| 17 | 1974 | 15 | |
| 18 | 1958 | 15 | |
| 19 | 1966 | 14 | |
| 20 | 1972 | 13 |
About G. Freud
G. Freud is a scholar working on Applied Mathematics, Numerical Analysis, Geometry and Topology, Statistics and Probability and Computational Mechanics, having authored 53 papers that have together received 641 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (18 papers), Mathematics and Applications (9 papers), Approximation Theory and Sequence Spaces (9 papers), Iterative Methods for Nonlinear Equations (7 papers), Mathematical Approximation and Integration (5 papers), Advanced Numerical Analysis Techniques (5 papers), Statistical and numerical algorithms (3 papers) and advanced mathematical theories (3 papers). The work is most often cited by research in Numerical Analysis (241 citations), Applied Mathematics (462 citations), Algebra and Number Theory (88 citations), Statistics and Probability (127 citations) and Modeling and Simulation (47 citations). G. Freud has collaborated with scholars based in Hungary, United States and Canada. Frequent co-authors include P. Erdös, H. N. Mhaskar, André Giroux, Q. I. Rahman, J. Szabados, Anand Sharma, Z. Ditzian, Donald J. Newman, A.R Reddy and A. Sharma. Their work appears in journals such as Canadian Journal of Mathematics, Acta Mathematica Academiae Scientiarum Hungaricae, Journal of Approximation Theory, Studia Mathematica and Proceedings of the London Mathematical Society.
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.