D.-T. Pham

640 citations
18 papers · 436 indexed · h-index 11

Impact in

    • Blind Source Separation Techniques
    • Speech and Audio Processing
  • Oceanography top 10%
    • Oceanographic and Atmospheric Processes

Papers in

D.-T. Pham

18 papers receiving 415 citations

Peers

D.-T. Pham
Comparison fields: 5 of 57
  • Signal Processing 156
  • Oceanography 106
  • Atmospheric Science 139
  • Analytical Chemistry 72
  • Global and Planetary Change 136
Replace F. Badran with:
F. Badran France
Marc Lennon France
André Plante Canada
R. Garello France
Richard A. Haubrich United States
Adam M. Sykulski United Kingdom
E. De Lauro Italy
Chao-Cheng Wu Taiwan
Chein‐I Chang United States
D.-T. Pham relative to F. Badran France F. Badran's profile →
Citations per field
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F. Badran · 1×
Citations per year

Countries citing papers authored by D.-T. Pham

Since Specialization
Citations

This map shows the geographic impact of D.-T. 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 D.-T. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.-T. Pham more than expected).

Fields of papers citing papers by D.-T. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.-T. 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 D.-T. Pham. The network helps show where D.-T. Pham may publish in the future.

Co-authorship network

The 18 scholars most cited alongside D.-T. Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.-T. Pham Line = papers co-authored together D.-T. Pham links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201553
2 20092
3 200895
4 20072
5 200618
6 200610
7 20063
8 200510
9 20054
10 20042
11 200320
12 200315
13 200060
14 199969
15 199250
16 19912
17 19904
18
A note on the estimation of the parameters of the diagonal bilinear model by the method of least squares
198917

About D.-T. Pham

D.-T. Pham is a scholar working on Computational Mathematics, Signal Processing, Analytical Chemistry, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 18 papers that have together received 436 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (12 papers), Image and Signal Denoising Methods (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Speech and Audio Processing (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Meteorological Phenomena and Simulations (3 papers), Climate variability and models (3 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Signal Processing (156 citations), Oceanography (106 citations), Atmospheric Science (139 citations), Analytical Chemistry (72 citations) and Global and Planetary Change (136 citations). D.-T. Pham has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include G. Triantafyllou, Γεράσιμος Κορρές, Lionel Gourdeau, Raghu Murtugudde, Jacques Verron, Antonio J. Busalacchi, Isak Gath, Claude Feuerstein, Gérard Rondouin and Xiaodong Luo. Their work appears in journals such as IEEE Transactions on Signal Processing, Monthly Weather Review, IEEE Transactions on Biomedical Engineering, Journal of Geophysical Research Atmospheres and Scandinavian Journal of Statistics.

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.

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