G.W. Wasilkowski
Impact in
- Numerical Analysis top 0.5%
- Mathematical Approximation and Integration
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- Probabilistic and Robust Engineering Design
Papers in
-
- Mathematical Approximation and Integration 43
- Advanced Optimization Algorithms Research 9
- Iterative Methods for Nonlinear Equations 8
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- Numerical Methods and Algorithms 13
- Matrix Theory and Algorithms 13
- Co-authors
- H. Woźniakowski (21 shared papers)Anargyros Papageorgiou (3 shared papers)Ian H. Sloan (2 shared papers)Leszek Plaskota (7 shared papers)Frances Y. Kuo (3 shared papers)Roberto Tempo (1 shared paper)V. Maiorov (1 shared paper)Peter Kritzer (7 shared papers)
- Journals
- Journal of Complexity (34 papers)Mathematics of Computation (7 papers)Journal of Approximation Theory (7 papers)Numerical Algorithms (3 papers)Journal of the ACM (2 papers)
- Partner nations
- United StatesPolandAustria
In The Last Decade
G.W. Wasilkowski
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Numerical Analysis 771
- Statistics, Probability and Uncertainty 321
- Applied Mathematics 443
- Computational Theory and Mathematics 370
- Statistics and Probability 138
Countries citing papers authored by G.W. Wasilkowski
This map shows the geographic impact of G.W. Wasilkowski'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.W. Wasilkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.W. Wasilkowski more than expected).
Fields of papers citing papers by G.W. Wasilkowski
This network shows the impact of papers produced by G.W. Wasilkowski. 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.W. Wasilkowski. The network helps show where G.W. Wasilkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside G.W. Wasilkowski, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 243 | |
| 2 | 2009 | 91 | |
| 3 | 1999 | 68 | |
| 4 | 1986 | 56 | |
| 5 | 1990 | 48 | |
| 6 | 1986 | 46 | |
| 7 | 1988 | 40 | |
| 8 | 2011 | 37 | |
| 9 | 1984 | 36 | |
| 10 | 2001 | 30 | |
| 11 | 1996 | 29 | |
| 12 | 1984 | 26 | |
| 13 | 1986 | 25 | |
| 14 | 2004 | 23 | |
| 15 | 1986 | 22 | |
| 16 | 1992 | 20 | |
| 17 | 2006 | 19 | |
| 18 | 1989 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2010 | 17 |
About G.W. Wasilkowski
G.W. Wasilkowski is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Computational Mechanics and Statistics and Probability, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (43 papers), Mathematical functions and polynomials (23 papers), Numerical Methods and Algorithms (13 papers), Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (9 papers), Probabilistic and Robust Engineering Design (9 papers), Iterative Methods for Nonlinear Equations (8 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Numerical Analysis (771 citations), Statistics, Probability and Uncertainty (321 citations), Applied Mathematics (443 citations), Computational Theory and Mathematics (370 citations) and Statistics and Probability (138 citations). G.W. Wasilkowski has collaborated with scholars based in United States, Poland and Austria. Frequent co-authors include H. Woźniakowski, Anargyros Papageorgiou, Ian H. Sloan, Leszek Plaskota, Frances Y. Kuo, Roberto Tempo, V. Maiorov, Peter Kritzer, Friedrich Pillichshammer and J. F. Traub. Their work appears in journals such as Journal of Complexity, Mathematics of Computation, Journal of Approximation Theory, Numerical Algorithms and Journal of the ACM.
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.