Dinh-Tuan Pham
- Signal Processing top 1%
- Analytical Chemistry top 2%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Atmospheric Science top 10%
- Co-authors
- J.-F. CardosoIbrahim HoteitJacques BlumMirko van der BaanFrédéric VrinsMichel VerleysenMarco CongedoRonald Phlypo
- Topics
- Blind Source Separation Techniques (25 papers)Spectroscopy and Chemometric Analyses (15 papers)Speech and Audio Processing (13 papers)
- Partner nations
- FranceBelgiumUnited Kingdom
In The Last Decade
Dinh-Tuan Pham
39 papers receiving 809 citations
Peers
Comparison fields: 5 of 74
- Signal Processing 518
- Analytical Chemistry 245
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 127
- Atmospheric Science 123
Countries citing papers authored by Dinh-Tuan Pham
This map shows the geographic impact of Dinh-Tuan 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 Dinh-Tuan Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinh-Tuan Pham more than expected).
Fields of papers citing papers by Dinh-Tuan Pham
This network shows the impact of papers produced by Dinh-Tuan 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 Dinh-Tuan Pham. The network helps show where Dinh-Tuan Pham may publish in the future.
Co-authorship network of co-authors of Dinh-Tuan Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Dinh-Tuan Pham. A scholar is included among the top collaborators of Dinh-Tuan 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 Dinh-Tuan Pham. Dinh-Tuan 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 | 18 | |
| 3 | 22 | |
| 4 | 62 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | Discriminacy of the minimum range approach to blind separation of bounded sources. | 3 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 30 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 124 | |
| 16 | 22 | |
| 17 | 323 | |
| 18 | 21 | |
| 19 | 3 | |
| 20 | Séparation aveugle de sources via une analyse en composantes indépendantes | 1 |
About Dinh-Tuan Pham
Dinh-Tuan Pham is a scholar working on Signal Processing, Analytical Chemistry and Oceanography, having authored 39 papers that have together received 871 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (25 papers), Spectroscopy and Chemometric Analyses (15 papers) and Speech and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (518 citations), Analytical Chemistry (245 citations) and Computational Mathematics (12 citations). Dinh-Tuan Pham has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include J.-F. Cardoso, Ibrahim Hoteit, Jacques Blum, Mirko van der Baan, Frédéric Vrins, Michel Verleysen, Marco Congedo, Ronald Phlypo, Christian Jutten and Sophie Achard. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Geophysics.
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.