Jan Nagel
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Computational Theory and Mathematics
- Algebra and Number Theory
- Discrete Mathematics and Combinatorics top 10%
- Co-authors
- Chris PetersJacob P. MurreMarian AproduPhilipp JunkerHolger DetteFabrice GamboaAlain RouaultMorihiko Saito
- Topics
- Random Matrices and Applications (9 papers)Algebraic Geometry and Number Theory (9 papers)Advanced Algebra and Geometry (7 papers)
- Journals
- International Journal for Numerical Methods in EngineeringInternational Journal of Solids and StructuresJournal of Functional Analysis
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
Jan Nagel
25 papers receiving 149 citations
Peers
Comparison fields: 5 of 27
- Geometry and Topology 96
- Mathematical Physics 82
- Computational Theory and Mathematics 30
- Algebra and Number Theory 29
- Discrete Mathematics and Combinatorics 24
Countries citing papers authored by Jan Nagel
This map shows the geographic impact of Jan Nagel'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 Jan Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Nagel more than expected).
Fields of papers citing papers by Jan Nagel
This network shows the impact of papers produced by Jan Nagel. 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 Jan Nagel. The network helps show where Jan Nagel may publish in the future.
Co-authorship network of co-authors of Jan Nagel
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Nagel. A scholar is included among the top collaborators of Jan Nagel 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 Jan Nagel. Jan Nagel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | Random walk on barely supercritical branching random walk | 1 |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 5 |
About Jan Nagel
Jan Nagel is a scholar working on Theoretical Computer Science, Mathematical Physics and Statistics and Probability, having authored 28 papers that have together received 153 indexed citations. Recurring topics across this work include Random Matrices and Applications (9 papers), Algebraic Geometry and Number Theory (9 papers) and Advanced Algebra and Geometry (7 papers). The work is most often cited by research in Geometry and Topology (96 citations), Mathematical Physics (82 citations) and Discrete Mathematics and Combinatorics (24 citations). Jan Nagel has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Chris Peters, Jacob P. Murre, Marian Aprodu, Philipp Junker, Holger Dette, Fabrice Gamboa, Alain Rouault, Morihiko Saito, Indranil Biswas and Nina Gantert. Their work appears in journals such as International Journal for Numerical Methods in Engineering, International Journal of Solids and Structures and Journal of Functional 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.