Mohamed Redouane Kafi
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Media Technology top 5%
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Amine KhaldiSalah EuschiFares KahlessenaneNarima ZermiMoamar Sayed‐MouchawehHicham ChaouiBillel MeghniSuruz Miah
- Topics
- Advanced Steganography and Watermarking Techniques (35 papers)Digital Media Forensic Detection (23 papers)Chaos-based Image/Signal Encryption (20 papers)
- Partner nations
- AlgeriaFranceUnited States
In The Last Decade
Mohamed Redouane Kafi
51 papers receiving 874 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 797
- Signal Processing 102
- Media Technology 62
- Control and Systems Engineering 49
- Artificial Intelligence 46
Countries citing papers authored by Mohamed Redouane Kafi
This map shows the geographic impact of Mohamed Redouane Kafi'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 Mohamed Redouane Kafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Redouane Kafi more than expected).
Fields of papers citing papers by Mohamed Redouane Kafi
This network shows the impact of papers produced by Mohamed Redouane Kafi. 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 Mohamed Redouane Kafi. The network helps show where Mohamed Redouane Kafi may publish in the future.
Co-authorship network of co-authors of Mohamed Redouane Kafi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Redouane Kafi. A scholar is included among the top collaborators of Mohamed Redouane Kafi 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 Mohamed Redouane Kafi. Mohamed Redouane Kafi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 38 | |
| 17 | 81 | |
| 18 | 83 | |
| 19 | 24 | |
| 20 | 4 |
About Mohamed Redouane Kafi
Mohamed Redouane Kafi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 57 papers that have together received 914 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (35 papers), Digital Media Forensic Detection (23 papers) and Chaos-based Image/Signal Encryption (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (797 citations), Signal Processing (102 citations) and Media Technology (62 citations). Mohamed Redouane Kafi has collaborated with scholars based in Algeria, France and United States. Frequent co-authors include Amine Khaldi, Salah Euschi, Fares Kahlessenane, Narima Zermi, Moamar Sayed‐Mouchaweh, Hicham Chaoui, Billel Meghni, Suruz Miah, Adıtya Kumar Sahu and Mohamed Djemaï. Their work appears in journals such as Journal of the Franklin Institute, Energies and Forensic Science International.
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.