Ramsay Dyer
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 10%
- Applied Mathematics top 10%
- Co-authors
- Hao ZhangOliver van KaickTorsten MöllerAlireza EntezariD. E. EdmundsJean‐Daniel BoissonnatMargherita MaraschiniTamal K. Dey
- Topics
- Computational Geometry and Mesh Generation (11 papers)Computer Graphics and Visualization Techniques (8 papers)Topological and Geometric Data Analysis (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on GraphicsArchive for Rational Mechanics and AnalysisBulletin of the London Mathematical Society
- Partner nations
- CanadaUnited KingdomFrance
In The Last Decade
Ramsay Dyer
28 papers receiving 483 citations
Peers
Comparison fields: 5 of 68
- Computational Mechanics 299
- Computer Graphics and Computer-Aided Design 242
- Computer Vision and Pattern Recognition 206
- Computational Theory and Mathematics 66
- Applied Mathematics 50
Countries citing papers authored by Ramsay Dyer
This map shows the geographic impact of Ramsay Dyer'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 Ramsay Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramsay Dyer more than expected).
Fields of papers citing papers by Ramsay Dyer
This network shows the impact of papers produced by Ramsay Dyer. 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 Ramsay Dyer. The network helps show where Ramsay Dyer may publish in the future.
Co-authorship network of co-authors of Ramsay Dyer
This figure shows the co-authorship network connecting the top 25 collaborators of Ramsay Dyer. A scholar is included among the top collaborators of Ramsay Dyer 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 Ramsay Dyer. Ramsay Dyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 35 | |
| 7 | 22 | |
| 8 | 17 | |
| 9 | 136 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 62 | |
| 13 | 14 | |
| 14 | 51 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 9 |
About Ramsay Dyer
Ramsay Dyer is a scholar working on Computer Graphics and Computer-Aided Design, Applied Mathematics and Computational Theory and Mathematics, having authored 28 papers that have together received 508 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (11 papers), Computer Graphics and Visualization Techniques (8 papers) and Topological and Geometric Data Analysis (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (242 citations), Computational Mechanics (299 citations) and Computer Vision and Pattern Recognition (206 citations). Ramsay Dyer has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Hao Zhang, Oliver van Kaick, Torsten Möller, Alireza Entezari, D. E. Edmunds, Jean‐Daniel Boissonnat, D. E. Edmunds, Margherita Maraschini, Tamal K. Dey and Lei Wang. Their work appears in journals such as ACM Transactions on Graphics, Archive for Rational Mechanics and Analysis and Bulletin of the London Mathematical Society.
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.