Lamri Laouamer

753 citations
44 papers · 439 indexed · h-index 13

Lamri Laouamer

41 papers receiving 408 citations

Peers

Lamri Laouamer
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 309
  • Media Technology 44
  • Signal Processing 46
  • Industrial and Manufacturing Engineering 28
  • Artificial Intelligence 81
Replace Abdulatif Alabdulatif with:
Abdulatif Alabdulatif Saudi Arabia
Rakesh K. Sinha United States
Yuanwei Zhu China
Shuli Zheng China
Anirban Sarkar India
Min Lei China
Xuezeng Pan China
D.G. Elliman United Kingdom
Woosuk Kwon South Korea
Neeraj Kumar Rathore India
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Citations per year

Countries citing papers authored by Lamri Laouamer

Since Specialization
Citations

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

Fields of papers citing papers by Lamri Laouamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Lamri Laouamer, 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 Lamri Laouamer Line = papers co-authored together Lamri Laouamer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20241
4 20231
5 20230
6 202319
7 202111
8
Image-to-Tree to Select Significant Blocks for Image Watermarking.
20202
9 202062
10 20204
11 202026
12 20183
13 201825
14
A Robust Watermarking System Based on Formal Concept Analysis and Texture Analysis.
20171
15
An Efficient and Robust Hybrid Watermarking Scheme for Text-Images.
20162
16
A Novel CT Scan Images Watermarking Scheme in DWT Transform Coefficients
20163
17 20161
18 201528
19 20152
20 20123

About Lamri Laouamer

Lamri Laouamer is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 44 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (34 papers), Chaos-based Image/Signal Encryption (26 papers), Digital Media Forensic Detection (19 papers), Advanced Data Compression Techniques (6 papers), Vehicle License Plate Recognition (5 papers), Biometric Identification and Security (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Cryptographic Implementations and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (309 citations), Media Technology (44 citations) and Signal Processing (46 citations). Lamri Laouamer has collaborated with scholars based in Saudi Arabia, France and Algeria. Frequent co-authors include Adel Alti, Omar Tayan, Laurent Nana, Tarek Moulahi, Salah Zidi, Jalel Euchi, Muath AlShaikh, Alaeddine Mihoub, Abdelkader Laouid and Mostefa Kara. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

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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