Tuan Q. Pham
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Lucas J. van VlietKlamer SchutteCris L. Luengo HendriksVibhav GogateDeepak VenugopalParag SinglaStuart PerryP. Calafiura
- Topics
- Advanced Image Processing Techniques (6 papers)Image and Signal Denoising Methods (4 papers)Advanced Vision and Imaging (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaEURASIP Journal on Advances in Signal ProcessingIET Computer Vision
- Partner nations
- NetherlandsUnited StatesIndia
In The Last Decade
Tuan Q. Pham
11 papers receiving 390 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 358
- Media Technology 134
- Computational Mechanics 46
- Computer Graphics and Computer-Aided Design 43
- Atomic and Molecular Physics, and Optics 29
Countries citing papers authored by Tuan Q. Pham
This map shows the geographic impact of Tuan Q. Pham'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 Tuan Q. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuan Q. Pham more than expected).
Fields of papers citing papers by Tuan Q. Pham
This network shows the impact of papers produced by Tuan Q. Pham. 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 Tuan Q. Pham. The network helps show where Tuan Q. Pham may publish in the future.
Co-authorship network of co-authors of Tuan Q. Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Tuan Q. Pham. A scholar is included among the top collaborators of Tuan Q. Pham 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 Tuan Q. Pham. Tuan Q. Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 134 | |
| 8 | 15 | |
| 9 | Spatiotonal adaptivity in super-resolution of under-sampled image sequences | 23 |
| 10 | 45 | |
| 11 | 166 | |
| 12 | 18 |
About Tuan Q. Pham
Tuan Q. Pham is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (358 citations), Media Technology (134 citations) and Computer Graphics and Computer-Aided Design (43 citations). Tuan Q. Pham has collaborated with scholars based in Netherlands, United States and India. Frequent co-authors include Lucas J. van Vliet, Klamer Schutte, Cris L. Luengo Hendriks, Vibhav Gogate, Deepak Venugopal, Parag Singla, Stuart Perry, P. Calafiura, X. Ju and A. Vallier. Their work appears in journals such as SHILAP Revista de lepidopterología, EURASIP Journal on Advances in Signal Processing and IET Computer Vision.
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.