Duc-Son Pham

1.7k citations
78 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Duc-Son Pham

71 papers receiving 1.0k citations

Peers

Duc-Son Pham
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 406
  • Signal Processing 184
  • Computational Mechanics 251
  • Media Technology 105
  • Computer Networks and Communications 208
Replace Piyush Kumar with:
Piyush Kumar United States
Tokunbo Ogunfunmi United States
Yingying Zhu China
Xiangwei Kong China
Mostafa El‐Khamy United States
Junni Zou China
Sadiq H. Abdulhussain Iraq
Markus Steinberger Austria
Yan Yan China
Richard Yi Da Xu Australia
Duc-Son Pham relative to Piyush Kumar United States Piyush Kumar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Duc-Son Pham

Since Specialization
Citations

This map shows the geographic impact of Duc-Son 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 Duc-Son Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc-Son Pham more than expected).

Fields of papers citing papers by Duc-Son Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Duc-Son 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 Duc-Son Pham Line = papers co-authored together Duc-Son Pham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008180
2 202378
3 200669
4 201663
5 200460
6 200451
7 201242
8 201641
9 201538
10 201333
11 201333
12 200432
13 201231
14 202330
15 200924
16 201423
17 201317
18 200817
19 200215
20 201513

About Duc-Son Pham

Duc-Son Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (16 papers), Blind Source Separation Techniques (14 papers), Face and Expression Recognition (11 papers), Anomaly Detection Techniques and Applications (11 papers), Wireless Communication Networks Research (10 papers), Advanced Wireless Communication Techniques (9 papers), Advanced Neural Network Applications (8 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (406 citations), Signal Processing (184 citations), Computational Mechanics (251 citations), Media Technology (105 citations) and Computer Networks and Communications (208 citations). Duc-Son Pham has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Svetha Venkatesh, Abdelhak M. Zoubir, Krishna R. Pattipati, Peter Willett, Jie Luo, Budhaditya Saha, Dinh Phung, Mihai Lazarescu, Ognjen Arandjelović and Kay L. O’Halloran. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Communications Letters and IEEE Transactions on Circuits and Systems for Video Technology.

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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