Carl Geiger
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
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- Optimization and Variational Analysis
- Matrix Theory and Algorithms
Papers in
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- Mathematical Approximation and Integration 2
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- Optimization and Variational Analysis 2
- Matrix Theory and Algorithms 1
- Co-authors
- Christian Kanzow (3 shared papers)Matthew Davenport (1 shared paper)Landon Grace (1 shared paper)Rishabh D. Guha (1 shared paper)Gerhard Opfer (1 shared paper)R. Ansorge (2 shared papers)Steffen Bauer (1 shared paper)
- Journals
- Journal of Approximation Theory (2 papers)Computational Optimization and Applications (1 paper)European Journal of Wildlife Research (1 paper)Composites Part B Engineering (1 paper)ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Carl Geiger
10 papers receiving 284 citations
Peers
Comparison fields: 5 of 68
- Numerical Analysis 174
- Computational Theory and Mathematics 168
- Modeling and Simulation 16
- Computational Mechanics 59
- Applied Mathematics 21
Countries citing papers authored by Carl Geiger
This map shows the geographic impact of Carl Geiger'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 Carl Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Geiger more than expected).
Fields of papers citing papers by Carl Geiger
This network shows the impact of papers produced by Carl Geiger. 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 Carl Geiger. The network helps show where Carl Geiger may publish in the future.
Co-authors
The 7 scholars most cited alongside Carl Geiger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 149 | |
| 2 | 2002 | 82 | |
| 3 | 1999 | 46 | |
| 4 | 2021 | 26 | |
| 5 | 1978 | 5 | |
| 6 | 1974 | 4 | |
| 7 | 1974 | 4 | |
| 8 | 1972 | 4 | |
| 9 | 1968 | 2 | |
| 10 | 1971 | 2 | |
| 11 | 2004 | 1 |
About Carl Geiger
Carl Geiger is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Nature and Landscape Conservation and Pollution, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (2 papers), Mathematical Approximation and Integration (2 papers), Animal Ecology and Behavior Studies (1 paper), Ecology, Conservation, and Geographical Studies (1 paper), Matrix Theory and Algorithms (1 paper), Mathematical functions and polynomials (1 paper), Botany and Plant Ecology Studies (1 paper) and Geophysical Methods and Applications (1 paper). The work is most often cited by research in Numerical Analysis (174 citations), Computational Theory and Mathematics (168 citations), Modeling and Simulation (16 citations), Computational Mechanics (59 citations) and Applied Mathematics (21 citations). Carl Geiger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Christian Kanzow, Matthew Davenport, Landon Grace, Rishabh D. Guha, Gerhard Opfer, R. Ansorge and Steffen Bauer. Their work appears in journals such as Journal of Approximation Theory, Computational Optimization and Applications, European Journal of Wildlife Research, Composites Part B Engineering and ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik.
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.