R. Krawczyk
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Numerical Methods and Algorithms
- Polynomial and algebraic computation
- Matrix Theory and Algorithms
Papers in
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- Numerical Methods and Algorithms 10
- Matrix Theory and Algorithms 6
- Polynomial and algebraic computation 4
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- Iterative Methods for Nonlinear Equations 4
- Numerical methods for differential equations 3
- Co-authors
- Arnold Neumaier (3 shared papers)Karl L. E. Nickel (2 shared papers)Rolf Emmermann (2 shared papers)H. J. Tobschall (2 shared papers)F. Mooser (2 shared papers)Ulrich W. Kulisch (1 shared paper)Jürgen Garloff (1 shared paper)Jörg F. W. Negendank (1 shared paper)
In The Last Decade
R. Krawczyk
24 papers receiving 626 citations
Peers
Comparison fields: 5 of 65
- Numerical Analysis 148
- Computational Theory and Mathematics 442
- Signal Processing 98
- Statistics, Probability and Uncertainty 60
- Geophysics 105
Countries citing papers authored by R. Krawczyk
This map shows the geographic impact of R. Krawczyk'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 R. Krawczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Krawczyk more than expected).
Fields of papers citing papers by R. Krawczyk
This network shows the impact of papers produced by R. Krawczyk. 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 R. Krawczyk. The network helps show where R. Krawczyk may publish in the future.
Co-authors
The 8 scholars most cited alongside R. Krawczyk, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 281 | |
| 2 | 1985 | 129 | |
| 3 | 1985 | 80 | |
| 4 | 1982 | 52 | |
| 5 | 1968 | 39 | |
| 6 | 1975 | 23 | |
| 7 | 1986 | 20 | |
| 8 | 1984 | 15 | |
| 9 | 1980 | 12 | |
| 10 | 1971 | 8 | |
| 11 | 1986 | 8 | |
| 12 | 1982 | 7 | |
| 13 | 1972 | 6 | |
| 14 | 1963 | 6 | |
| 15 | 1970 | 6 | |
| 16 | 1986 | 5 | |
| 17 | 1969 | 4 | |
| 18 | 1986 | 4 | |
| 19 | 1970 | 3 | |
| 20 | 1985 | 2 |
About R. Krawczyk
R. Krawczyk is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Signal Processing and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 716 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (10 papers), Matrix Theory and Algorithms (6 papers), Advanced Numerical Analysis Techniques (5 papers), Polynomial and algebraic computation (4 papers), Iterative Methods for Nonlinear Equations (4 papers), Digital Filter Design and Implementation (4 papers), Numerical methods for differential equations (3 papers) and Physics and Engineering Research Articles (3 papers). The work is most often cited by research in Numerical Analysis (148 citations), Computational Theory and Mathematics (442 citations), Signal Processing (98 citations), Statistics, Probability and Uncertainty (60 citations) and Geophysics (105 citations). R. Krawczyk has collaborated with scholars based in Germany and Mexico. Frequent co-authors include Arnold Neumaier, Karl L. E. Nickel, Rolf Emmermann, H. J. Tobschall, F. Mooser, Ulrich W. Kulisch, Jürgen Garloff and Jörg F. W. Negendank. Their work appears in journals such as Computing, Journal of Mathematical Analysis and Applications, SIAM Journal on Numerical Analysis, Numerische Mathematik and Archive for Rational Mechanics and Analysis.
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.