Peyman Afshani
- Computer Graphics and Computer-Aided Design top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 5%
- Co-authors
- Timothy M. ChanLars ArgeKasper Green LarsenJérémy BarbayNorbert ZehJeff M. PhillipsPankaj K. AgarwalZhewei Wei
- Topics
- Computational Geometry and Mesh Generation (25 papers)Data Management and Algorithms (16 papers)Advanced Numerical Analysis Techniques (9 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignSignal ProcessingComputational Theory and Mathematics
- Partner nations
- DenmarkCanadaUnited States
In The Last Decade
Peyman Afshani
39 papers receiving 259 citations
Peers
Comparison fields: 5 of 32
- Computer Graphics and Computer-Aided Design 149
- Signal Processing 136
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 89
- Computational Theory and Mathematics 81
Countries citing papers authored by Peyman Afshani
This map shows the geographic impact of Peyman Afshani'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 Peyman Afshani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyman Afshani more than expected).
Fields of papers citing papers by Peyman Afshani
This network shows the impact of papers produced by Peyman Afshani. 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 Peyman Afshani. The network helps show where Peyman Afshani may publish in the future.
Co-authorship network of co-authors of Peyman Afshani
This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Afshani. A scholar is included among the top collaborators of Peyman Afshani 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 Peyman Afshani. Peyman Afshani 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Property Testing on Linked Lists. | 1 |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 36 | |
| 17 | 22 | |
| 18 | 7 | |
| 19 | 17 | |
| 20 | Approximation Algorithms for Maximum Cliques in 3D Unit-Disk Graphs. | 4 |
About Peyman Afshani
Peyman Afshani is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 270 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (25 papers), Data Management and Algorithms (16 papers) and Advanced Numerical Analysis Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (149 citations), Signal Processing (136 citations) and Computational Theory and Mathematics (81 citations). Peyman Afshani has collaborated with scholars based in Denmark, Canada and United States. Frequent co-authors include Timothy M. Chan, Lars Arge, Kasper Green Larsen, Jérémy Barbay, Norbert Zeh, Jeff M. Phillips, Pankaj K. Agarwal, Zhewei Wei, Gerth Stølting Brodal and Hamed Hatami. Their work appears in journals such as Journal of the ACM, Discrete Applied Mathematics and Algorithmica.
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.