Mounia Mikram
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education 5
- Artificial Intelligence top 5%
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 3
- Signal Processing top 10%
- Biometric Identification and Security 12
- Information Systems top 10%
- User Authentication and Security Systems 8
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- Face recognition and analysis 5
- Advanced Steganography and Watermarking Techniques 4
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- COVID-19 diagnosis using AI 5
- Co-authors
- Maryem RhanouiSiham YousfiBouchra El AsriSanaa GhouzaliWadood AbdulMohammed RzizaDriss AboutajdineKhalid Minaoui
- Journals
- SHILAP Revista de lepidopterología (2 papers)Computers in Biology and Medicine (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- MoroccoSaudi ArabiaFrance
In The Last Decade
Mounia Mikram
30 papers receiving 381 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 13
- Artificial Intelligence 215
- Signal Processing 67
- Information Systems 85
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Mounia Mikram
This map shows the geographic impact of Mounia Mikram'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 Mounia Mikram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mounia Mikram more than expected).
Fields of papers citing papers by Mounia Mikram
This network shows the impact of papers produced by Mounia Mikram. 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 Mounia Mikram. The network helps show where Mounia Mikram may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Mounia Mikram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 0 | |
| 15 | 2019 | 1 | |
| 16 | Biometric cryptosystems based fuzzy commitment scheme: a security evaluation. | 2016 | 2 |
| 17 | 2016 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2015 | 3 | |
| 20 | Inter-Communication Classification for Multi- View Face Recognition | 2014 | 6 |
About Mounia Mikram
Mounia Mikram is a scholar working on Health Informatics, Signal Processing and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 403 indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), User Authentication and Security Systems (8 papers), Topic Modeling (5 papers), Face recognition and analysis (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (5 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Health Informatics (13 citations), Artificial Intelligence (215 citations) and Signal Processing (67 citations). Mounia Mikram has collaborated with scholars based in Morocco, Saudi Arabia and France. Frequent co-authors include Maryem Rhanoui, Siham Yousfi, Bouchra El Asri, Sanaa Ghouzali, Wadood Abdul, Mohammed Rziza, Driss Aboutajdine, Khalid Minaoui, Lilei Zheng and George Bebis. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Biology and Medicine 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.