N. Phamdo

1.6k citations
41 papers · 1.2k · h-index 16

Impact in

Papers in

N. Phamdo

38 papers receiving 1.1k citations

Peers

N. Phamdo
Comparison fields: 5 of 40
  • Signal Processing 414
  • Computer Networks and Communications 558
  • Computer Vision and Pattern Recognition 488
  • Electrical and Electronic Engineering 727
  • Computational Mechanics 186
Replace Pao‐Chi Chang with:
Pao‐Chi Chang Taiwan
Tan F. Wong United States
Giacinto Gelli Italy
Jöern Ostermann Germany
Myung Hoon Sunwoo South Korea
Hengzhu Liu China
Xinping Yi United Kingdom
Nikolaos Thomos United Kingdom
Mort Naraghi‐Pour United States
Dongming Peng United States
N. Phamdo relative to Pao‐Chi Chang Taiwan Pao‐Chi Chang's profile →
Citations per field
00.5×4.3×
Pao‐Chi Chang · 1×
Citations per year

Countries citing papers authored by N. Phamdo

Since Specialization
Citations

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

Fields of papers citing papers by N. Phamdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Phamdo. 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 N. Phamdo. The network helps show where N. Phamdo may publish in the future.

Co-authors

The 19 scholars most cited alongside N. Phamdo, 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 N. Phamdo Line = papers co-authored together N. Phamdo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002164
2 2000136
3 1994119
4 1996107
5 1991105
6 200689
7 199986
8
ALERT ALGORITHM DEVELOPMENT PROGRAM: NHTSA REAR-END COLLISION ALERT ALGORITHM
200249
9 199348
10 199642
11 200239
12 199738
13 200033
14 199829
15 200517
16 199816
17 199914
18 199814
19 199313
20 200212

About N. Phamdo

N. Phamdo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (24 papers), Error Correcting Code Techniques (19 papers), Advanced Data Compression Techniques (13 papers), Wireless Communication Security Techniques (9 papers), Algorithms and Data Compression (6 papers), Wireless Communication Networks Research (4 papers), Digital Filter Design and Implementation (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Signal Processing (414 citations), Computer Networks and Communications (558 citations), Computer Vision and Pattern Recognition (488 citations), Electrical and Electronic Engineering (727 citations) and Computational Mechanics (186 citations). N. Phamdo has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include U. Mittal, N. Farvardin, Fady Alajaji, Thomas E. Fuja, Mikael Skoglund, Rajiv Laroia, Li Ping, W.K. Leung, Takehiro Moriya and Xiaoling Huang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Speech and Audio Processing, Electronics Letters, IEEE Transactions on Communications and IEEE Communications Letters.

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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