Jürgen Geiser
- Genetics top 10%
- Numerical Analysis top 2%
- Computational Mechanics top 5%
- Complementary and alternative medicine top 2%
- Physiology
- Co-authors
- Hans HoppelerMichael VogtR. BilleterA. PuntschartIstván FaragóDaniel BetticherWalter H. ReinhartRonald K. Gratz
- Topics
- Numerical methods for differential equations (49 papers)Advanced Numerical Methods in Computational Mathematics (40 papers)Differential Equations and Numerical Methods (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysiologyInternational Journal of Solids and Structures
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jürgen Geiser
112 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Genetics 335
- Numerical Analysis 281
- Computational Mechanics 243
- Complementary and alternative medicine 169
- Physiology 157
Countries citing papers authored by Jürgen Geiser
This map shows the geographic impact of Jürgen Geiser'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 Jürgen Geiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Geiser more than expected).
Fields of papers citing papers by Jürgen Geiser
This network shows the impact of papers produced by Jürgen Geiser. 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 Jürgen Geiser. The network helps show where Jürgen Geiser may publish in the future.
Co-authorship network of co-authors of Jürgen Geiser
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Geiser. A scholar is included among the top collaborators of Jürgen Geiser 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 Jürgen Geiser. Jürgen Geiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | Decomposition Methods for Differential Equations: Theory and Applications | 24 |
| 15 | Overlapping operator splitting methods and applications in stiff differential equations | 3 |
| 16 | 0 | |
| 17 | 48 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | Using a microcomputer for interactive section construction and balancing | 1 |
About Jürgen Geiser
Jürgen Geiser is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 120 papers that have together received 1.2k indexed citations. Recurring topics across this work include Numerical methods for differential equations (49 papers), Advanced Numerical Methods in Computational Mathematics (40 papers) and Differential Equations and Numerical Methods (29 papers). The work is most often cited by research in Numerical Analysis (281 citations), Complementary and alternative medicine (169 citations) and Genetics (335 citations). Jürgen Geiser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hans Hoppeler, Michael Vogt, R. Billeter, A. Puntschart, István Faragó, Daniel Betticher, Walter H. Reinhart, Ronald K. Gratz, Peter Scheid and Frank L. Powell. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and International Journal of Solids and Structures.
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.