G. E. H. Reuter
- Mathematical Physics top 5%
- Management Information Systems top 5%
- Statistics and Probability top 2%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Walter LedermannC. AtkinsonDavid G. KendallN. W. McLachlanM. S. BartlettK. StewartsonG. W. KunzeS.A. Hamid
- Topics
- advanced mathematical theories (6 papers)Differential Equations and Numerical Methods (4 papers)Numerical methods for differential equations (4 papers)
- Journals
- Acta MathematicaBulletin of the London Mathematical SocietyProbability Theory and Related Fields
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
G. E. H. Reuter
28 papers receiving 718 citations
Peers
Comparison fields: 5 of 85
- Mathematical Physics 283
- Management Information Systems 193
- Statistics and Probability 181
- Applied Mathematics 152
- Computational Theory and Mathematics 130
Countries citing papers authored by G. E. H. Reuter
This map shows the geographic impact of G. E. H. Reuter'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 G. E. H. Reuter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. E. H. Reuter more than expected).
Fields of papers citing papers by G. E. H. Reuter
This network shows the impact of papers produced by G. E. H. Reuter. 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 G. E. H. Reuter. The network helps show where G. E. H. Reuter may publish in the future.
Co-authorship network of co-authors of G. E. H. Reuter
This figure shows the co-authorship network connecting the top 25 collaborators of G. E. H. Reuter. A scholar is included among the top collaborators of G. E. H. Reuter 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 G. E. H. Reuter. G. E. H. Reuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 74 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 15 | |
| 12 | 32 | |
| 13 | 141 | |
| 14 | 2 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | 201 | |
| 18 | 15 | |
| 19 | 38 | |
| 20 | 24 |
About G. E. H. Reuter
G. E. H. Reuter is a scholar working on Numerical Analysis, Mathematical Physics and Theoretical Computer Science, having authored 30 papers that have together received 862 indexed citations. Recurring topics across this work include advanced mathematical theories (6 papers), Differential Equations and Numerical Methods (4 papers) and Numerical methods for differential equations (4 papers). The work is most often cited by research in Mathematical Physics (283 citations), Statistics and Probability (181 citations) and Management Information Systems (193 citations). G. E. H. Reuter has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Walter Ledermann, C. Atkinson, David G. Kendall, N. W. McLachlan, M. S. Bartlett, K. Stewartson, G. W. Kunze, S.A. Hamid, Elizabeth L. Scott and Jerzy Neyman. Their work appears in journals such as Acta Mathematica, Bulletin of the London Mathematical Society and Probability Theory and Related Fields.
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.