Maha Charfeddine
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Information Systems
- Safety Research
- Co-authors
- Chokri Ben AmarSalma MasmoudiMohsen GuizaniBechir HamdaouiWilliam PuechHesham AlhumyaniHenri NicolasAmir Hussain
- Topics
- Advanced Steganography and Watermarking Techniques (21 papers)Digital Media Forensic Detection (17 papers)Music and Audio Processing (8 papers)
- Partner nations
- TunisiaSaudi ArabiaFrance
In The Last Decade
Maha Charfeddine
26 papers receiving 241 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 190
- Signal Processing 74
- Artificial Intelligence 54
- Information Systems 20
- Safety Research 17
Countries citing papers authored by Maha Charfeddine
This map shows the geographic impact of Maha Charfeddine'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 Maha Charfeddine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maha Charfeddine more than expected).
Fields of papers citing papers by Maha Charfeddine
This network shows the impact of papers produced by Maha Charfeddine. 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 Maha Charfeddine. The network helps show where Maha Charfeddine may publish in the future.
Co-authorship network of co-authors of Maha Charfeddine
This figure shows the co-authorship network connecting the top 25 collaborators of Maha Charfeddine. A scholar is included among the top collaborators of Maha Charfeddine 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 Maha Charfeddine. Maha Charfeddine 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 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | Modified video watermarking scheme using audio silence deletion | 4 |
| 17 | 13 | |
| 18 | 27 | |
| 19 | 7 | |
| 20 | 14 |
About Maha Charfeddine
Maha Charfeddine is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Health Informatics, having authored 31 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (21 papers), Digital Media Forensic Detection (17 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Health Informatics (12 citations) and Signal Processing (74 citations). Maha Charfeddine has collaborated with scholars based in Tunisia, Saudi Arabia and France. Frequent co-authors include Chokri Ben Amar, Chokri Ben Amar, Salma Masmoudi, Mohsen Guizani, Bechir Hamdaoui, William Puech, Hesham Alhumyani, Henri Nicolas, Amir Hussain and Boudour Ammar. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications and Multimedia Systems.
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.