Klaus Ritter
- Numerical Analysis top 0.5%
- Computational Theory and Mathematics top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Computational Mechanics top 2%
- Finance top 2%
- Co-authors
- Erich NovakThomas Müller-GronbachMichael J. BestNorbert HofmannGarth P. McCormickGrzegorz W. WasilkowskiHenryk WoźniakowskiFred J. Hickernell
- Topics
- Mathematical Approximation and Integration (27 papers)Advanced Optimization Algorithms Research (26 papers)Stochastic processes and financial applications (18 papers)
- Cited by
- Numerical AnalysisStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Klaus Ritter
92 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 131
- Numerical Analysis 874
- Computational Theory and Mathematics 735
- Statistics, Probability and Uncertainty 727
- Computational Mechanics 385
- Finance 295
Countries citing papers authored by Klaus Ritter
This map shows the geographic impact of Klaus Ritter'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 Klaus Ritter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Ritter more than expected).
Fields of papers citing papers by Klaus Ritter
This network shows the impact of papers produced by Klaus Ritter. 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 Klaus Ritter. The network helps show where Klaus Ritter may publish in the future.
Co-authorship network of co-authors of Klaus Ritter
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Ritter. A scholar is included among the top collaborators of Klaus Ritter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus Ritter. Klaus Ritter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 6 | |
| 3 | Auf dem Weg: der Zukunftsdialog Caritas 2020 | 1 |
| 4 | 13 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 38 | |
| 8 | 27 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 46 | |
| 12 | 17 | |
| 13 | 46 | |
| 14 | 2 | |
| 15 | An effective algorithm for quadratic minimization problems | 10 |
| 16 | Politik und Wissenschaft | 8 |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 14 |
About Klaus Ritter
Klaus Ritter is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (27 papers), Advanced Optimization Algorithms Research (26 papers) and Stochastic processes and financial applications (18 papers). The work is most often cited by research in Numerical Analysis (874 citations), Statistics, Probability and Uncertainty (727 citations) and Computational Theory and Mathematics (735 citations). Klaus Ritter has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Erich Novak, Thomas Müller-Gronbach, Michael J. Best, Norbert Hofmann, Garth P. McCormick, Grzegorz W. Wasilkowski, Henryk Woźniakowski, Fred J. Hickernell, Ben Niu and Michael B. Giles. Their work appears in journals such as Mathematics of Computation, The Annals of Statistics and SIAM Journal on Numerical 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.