Fatiha Djebbar
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Information Systems
- Biomedical Engineering
- Co-authors
- Beghdad AyadHabib HamamKarim Abed‐MeraimNajah AbuAliAkram AlomainyMuhammad Khurram EhsanAli Hassan SodhroDeepak Puthal
- Topics
- Advanced Steganography and Watermarking Techniques (12 papers)Digital Media Forensic Detection (10 papers)Chaos-based Image/Signal Encryption (9 papers)
- Partner nations
- United Arab EmiratesCanadaFrance
In The Last Decade
Fatiha Djebbar
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 285
- Signal Processing 81
- Artificial Intelligence 42
- Information Systems 20
- Biomedical Engineering 12
Countries citing papers authored by Fatiha Djebbar
This map shows the geographic impact of Fatiha Djebbar'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 Fatiha Djebbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatiha Djebbar more than expected).
Fields of papers citing papers by Fatiha Djebbar
This network shows the impact of papers produced by Fatiha Djebbar. 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 Fatiha Djebbar. The network helps show where Fatiha Djebbar may publish in the future.
Co-authorship network of co-authors of Fatiha Djebbar
This figure shows the co-authorship network connecting the top 25 collaborators of Fatiha Djebbar. A scholar is included among the top collaborators of Fatiha Djebbar 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 Fatiha Djebbar. Fatiha Djebbar 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 | 1 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | Energy and Entropy Based Features for WAV Audio Steganalysis. | 6 |
| 8 | 9 | |
| 9 | 5 | |
| 10 | Audio Steganograpgy by Phase Modification | 5 |
| 11 | 22 | |
| 12 | 144 | |
| 13 | 65 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 5 |
About Fatiha Djebbar
Fatiha Djebbar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Safety, Risk, Reliability and Quality, having authored 17 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Digital Media Forensic Detection (10 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (285 citations), Signal Processing (81 citations) and Artificial Intelligence (42 citations). Fatiha Djebbar has collaborated with scholars based in United Arab Emirates, Canada and France. Frequent co-authors include Beghdad Ayad, Habib Hamam, Karim Abed‐Meraim, Najah AbuAli, Akram Alomainy, Muhammad Khurram Ehsan, Ali Hassan Sodhro, Deepak Puthal, Amit Kumar Mishra and Arshad Farhad. Their work appears in journals such as IEEE Access, Electronics and Security and Communication Networks.
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.