M. Giertz
Impact in
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics
- Numerical methods in inverse problems
- Applied Mathematics top 5%
- Differential Equations and Boundary Problems
Papers in
-
- Matrix Theory and Algorithms 8
- Advanced Mathematical Modeling in Engineering 6
-
- Spectral Theory in Mathematical Physics 9
- Co-authors
- Richard Bellman (1 shared paper)W. N. Everitt (16 shared papers)Joachim Weidmann (1 shared paper)J. B. McLeod (1 shared paper)Anton Zettl (1 shared paper)Man Kam Kwong (1 shared paper)
- Journals
- Proceedings of the London Mathematical Society (7 papers)Proceedings of the Royal Society of Edinburgh Section A Mathematics (3 papers)Lecture notes in mathematics (3 papers)Mathematische Annalen (2 papers)Information Sciences (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
M. Giertz
21 papers receiving 555 citations
Peers
Comparison fields: 5 of 69
- Mathematical Physics 267
- Applied Mathematics 212
- Computational Theory and Mathematics 283
- Management Science and Operations Research 213
- Numerical Analysis 90
Countries citing papers authored by M. Giertz
This map shows the geographic impact of M. Giertz'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 M. Giertz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Giertz more than expected).
Fields of papers citing papers by M. Giertz
This network shows the impact of papers produced by M. Giertz. 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 M. Giertz. The network helps show where M. Giertz may publish in the future.
Co-authors
The 6 scholars most cited alongside M. Giertz, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1973 | 323 | |
| 2 | 1971 | 62 | |
| 3 | 1973 | 42 | |
| 4 | 1972 | 41 | |
| 5 | 1972 | 37 | |
| 6 | 1978 | 34 | |
| 7 | 1974 | 31 | |
| 8 | 1967 | 21 | |
| 9 | 1972 | 21 | |
| 10 | 1973 | 15 | |
| 11 | 1974 | 15 | |
| 12 | 1964 | 10 | |
| 13 | 1975 | 10 | |
| 14 | 1973 | 8 | |
| 15 | 1964 | 8 | |
| 16 | 1974 | 6 | |
| 17 | 1975 | 4 | |
| 18 | 1981 | 3 | |
| 19 | 1976 | 3 | |
| 20 | 1976 | 2 |
About M. Giertz
M. Giertz is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis, Applied Mathematics and Computational Mechanics, having authored 23 papers that have together received 698 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (9 papers), Matrix Theory and Algorithms (8 papers), Advanced Mathematical Modeling in Engineering (6 papers), Differential Equations and Boundary Problems (6 papers), Numerical methods for differential equations (4 papers), Differential Equations and Numerical Methods (4 papers), Mathematical Inequalities and Applications (2 papers) and Nonlinear Differential Equations Analysis (2 papers). The work is most often cited by research in Mathematical Physics (267 citations), Applied Mathematics (212 citations), Computational Theory and Mathematics (283 citations), Management Science and Operations Research (213 citations) and Numerical Analysis (90 citations). M. Giertz has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Richard Bellman, W. N. Everitt, Joachim Weidmann, J. B. McLeod, Anton Zettl and Man Kam Kwong. Their work appears in journals such as Proceedings of the London Mathematical Society, Proceedings of the Royal Society of Edinburgh Section A Mathematics, Lecture notes in mathematics, Mathematische Annalen and Information Sciences.
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.