Pouya D. Tafti
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Applied Mathematics top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Michaël UnserQiyu SunDimitri Van De VilleHagai KirshnerArash AminiAurélien F. StalderShahram ShiraniRicard Delgado-Gonzalo
- Topics
- Image and Signal Denoising Methods (12 papers)Complex Systems and Time Series Analysis (4 papers)Mathematical Analysis and Transform Methods (3 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- SwitzerlandCanadaChina
In The Last Decade
Pouya D. Tafti
16 papers receiving 238 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 106
- Computational Mechanics 86
- Applied Mathematics 39
- Biomedical Engineering 39
- Radiology, Nuclear Medicine and Imaging 38
Countries citing papers authored by Pouya D. Tafti
This map shows the geographic impact of Pouya D. Tafti'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 Pouya D. Tafti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pouya D. Tafti more than expected).
Fields of papers citing papers by Pouya D. Tafti
This network shows the impact of papers produced by Pouya D. Tafti. 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 Pouya D. Tafti. The network helps show where Pouya D. Tafti may publish in the future.
Co-authorship network of co-authors of Pouya D. Tafti
This figure shows the co-authorship network connecting the top 25 collaborators of Pouya D. Tafti. A scholar is included among the top collaborators of Pouya D. Tafti 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 Pouya D. Tafti. Pouya D. Tafti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 19 | |
| 3 | 79 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 47 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | On Multi-Scale Refinement of Discrete Data | 1 |
About Pouya D. Tafti
Pouya D. Tafti is a scholar working on Computer Vision and Pattern Recognition, Finance and Applied Mathematics, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Complex Systems and Time Series Analysis (4 papers) and Mathematical Analysis and Transform Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Computational Mechanics (86 citations) and Applied Mathematics (39 citations). Pouya D. Tafti has collaborated with scholars based in Switzerland, Canada and China. Frequent co-authors include Michaël Unser, Qiyu Sun, Dimitri Van De Ville, Hagai Kirshner, Arash Amini, Aurélien F. Stalder, Shahram Shirani, Ricard Delgado-Gonzalo, Xiaolin Wu and Davide Piccini. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.