Sid Ahmed Fezza

741 citations
32 papers · 343 · h-index 9

Impact in

    • Image and Video Quality Assessment
    • Digital Media Forensic Detection
    • Advanced Vision and Imaging
    • Advanced Image Processing Techniques
    • Advanced Malware Detection Techniques
    • Video Coding and Compression Technologies

Papers in

    • Image and Video Quality Assessment 11
    • Advanced Vision and Imaging 9
    • Image Enhancement Techniques 8
    • Advanced Image Processing Techniques 8
    • Generative Adversarial Networks and Image Synthesis 5
    • Video Coding and Compression Technologies 12

Sid Ahmed Fezza

29 papers receiving 327 citations

Peers

Sid Ahmed Fezza
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 185
  • Signal Processing 87
  • Artificial Intelligence 148
  • Media Technology 38
  • Hardware and Architecture 15
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Citations per year

Countries citing papers authored by Sid Ahmed Fezza

Since Specialization
Citations

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

Fields of papers citing papers by Sid Ahmed Fezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sid Ahmed Fezza. 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 Sid Ahmed Fezza. The network helps show where Sid Ahmed Fezza may publish in the future.

Co-authors

The 18 scholars most cited alongside Sid Ahmed Fezza, 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 Sid Ahmed Fezza Line = papers co-authored together Sid Ahmed Fezza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 201938
3 201424
4 202421
5 202018
6 202018
7 202116
8 202112
9 201710
10 20228
11 20238
12 20228
13 20167
14 20236
15 20226
16 20236
17 20154
18 20114
19 20144
20 20234

About Sid Ahmed Fezza

Sid Ahmed Fezza is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Media Technology, having authored 32 papers that have together received 343 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (12 papers), Image and Video Quality Assessment (11 papers), Advanced Vision and Imaging (9 papers), Anomaly Detection Techniques and Applications (9 papers), Image Enhancement Techniques (8 papers), Advanced Image Processing Techniques (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Signal Processing (87 citations), Artificial Intelligence (148 citations), Media Technology (38 citations) and Hardware and Architecture (15 citations). Sid Ahmed Fezza has collaborated with scholars based in France, Algeria and United Arab Emirates. Frequent co-authors include Wassim Hamidouche, Olivier Déforges, Mohamed–Chaker Larabi, Kamel Mohamed Faraoun, Abdenour Hadid, Zahid Akhtar, Joan Serra-Sagristà, Ghalem Belalem, Luce Morin and Aladine Chetouani. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Circuits and Systems for Video Technology, Neural Computing and Applications, IEEE Consumer Electronics Magazine and Artificial Intelligence Review.

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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