Raouf Hamzaoui

106 papers receiving 1.6k citations

Peers

Raouf Hamzaoui
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 1.1k
  • Signal Processing 483
  • Computer Networks and Communications 431
  • Electrical and Electronic Engineering 388
  • Artificial Intelligence 346
Replace Fréderic Dufaux with:
Fréderic Dufaux France
Gerhard X. Ritter United States
Luiz Henrique de Figueiredo Brazil
M. Reha Civanlar United States
T. Sikora Germany
Mhamed Sayyouri Morocco
Lee United States
Hicham Karmouni Morocco
F. Bartolini Italy
Xiaopeng Fan China
Raouf Hamzaoui relative to Fréderic Dufaux France Fréderic Dufaux's profile →
Citations per field
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Fréderic Dufaux · 1×
Citations per year

Countries citing papers authored by Raouf Hamzaoui

Since Specialization
Citations

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

Fields of papers citing papers by Raouf Hamzaoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raouf Hamzaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Raouf Hamzaoui. A scholar is included among the top collaborators of Raouf Hamzaoui 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 Raouf Hamzaoui. Raouf Hamzaoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 1
3 33
4 52
5 8
6 3
7 18
8 16
9 13
10 6
11
Error-resilient packet switched H.264 mobile video telephony with LT coding and reference picture selection
2
12 1
13 2
14 4
15 31
16 19
17 2
18
Progressive optimal error protection of embedded codes
1
19 25
20
Fractal Image Compression - An Introductory Overview
40

About Raouf Hamzaoui

Raouf Hamzaoui is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (35 papers), Video Coding and Compression Technologies (32 papers) and Algorithms and Data Compression (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (483 citations) and Computer Graphics and Computer-Aided Design (109 citations). Raouf Hamzaoui has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Vladimir Stanković, Zixiang Xiong, Dietmar Saupe, Hui Yuan, Junhui Hou, Marwan Al‐Akaidi, Qi Liu, Honglei Su, Hao Liu and Huan Yang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Communications.

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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