Achraf Daoui

1.2k citations
47 papers · 893 indexed · h-index 21
Topics
Chaos-based Image/Signal Encryption (20 papers)Advanced Steganography and Watermarking Techniques (17 papers)Image Retrieval and Classification Techniques (14 papers)
Partner nations
MoroccoSaudi ArabiaEgypt

In The Last Decade

Achraf Daoui

46 papers receiving 872 citations

Peers

Achraf Daoui
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 700
  • Artificial Intelligence 139
  • Signal Processing 98
  • Media Technology 97
  • Computational Theory and Mathematics 78
Replace Mohamed Yamni with:
Mohamed Yamni Morocco
Omar El Ogri Morocco
Chengzhi Deng China
Mohiy M. Hadhoud Egypt
Nan Zhou China
Zhiqiu Xia China
R.D. Dony Canada
Lvchen Cao China
Minghui Wang China
G. Orlandi Italy
Achraf Daoui relative to Mohamed Yamni Morocco Mohamed Yamni's profile →
Citations per field
00.5×1.5×
Mohamed Yamni · 1×
Citations per year

Countries citing papers authored by Achraf Daoui

Since Specialization
Citations

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

Fields of papers citing papers by Achraf Daoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achraf Daoui

This figure shows the co-authorship network connecting the top 25 collaborators of Achraf Daoui. A scholar is included among the top collaborators of Achraf Daoui 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 Achraf Daoui. Achraf Daoui 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 0
2 4
3 1
4 10
5 5
6 7
7 5
8 10
9 13
10 26
11 24
12 21
13 5
14 46
15 11
16 40
17 74
18 55
19 34
20 14

About Achraf Daoui

Achraf Daoui is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 47 papers that have together received 893 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (20 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Image Retrieval and Classification Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (700 citations), Media Technology (97 citations) and Signal Processing (98 citations). Achraf Daoui has collaborated with scholars based in Morocco, Saudi Arabia and Egypt. Frequent co-authors include Mhamed Sayyouri, Hassan Qjidaa, Hicham Karmouni, Mohamed Yamni, Omar El Ogri, Ahmed A. Abd El‐Latif, Badreeddine Alami, Mustapha Maâroufi, Musheer Ahmad and Jan Flusser. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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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