Asma Cherif
Impact in
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
Papers in
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- IoT and Edge/Fog Computing 8
- Caching and Content Delivery 5
- Peer-to-Peer Network Technologies 4
- Mobile Ad Hoc Networks 3
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- Natural Language Processing Techniques 4
- Co-authors
- Suhair Alshehri (11 shared papers)Abdessamad Imine (16 shared papers)Manal Kalkatawi (3 shared papers)Farrukh Nadeem (4 shared papers)Michaël Rusinowitch (3 shared papers)Rafik Braham (1 shared paper)Wadii Boulila (1 shared paper)Mahdi Jemmali (1 shared paper)
- Journals
- IEEE Access (4 papers)International Journal of Security and Networks (2 papers)Journal of King Saud University - Computer and Information Sciences (2 papers)Pervasive and Mobile Computing (2 papers)Machine Vision and Applications (1 paper)
- Partner nations
- Saudi ArabiaFranceTunisia
In The Last Decade
Asma Cherif
39 papers receiving 251 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 148
- Health Informatics 6
- Accounting 50
- Media Technology 38
- Computer Networks and Communications 75
Countries citing papers authored by Asma Cherif
This map shows the geographic impact of Asma Cherif'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 Asma Cherif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asma Cherif more than expected).
Fields of papers citing papers by Asma Cherif
This network shows the impact of papers produced by Asma Cherif. 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 Asma Cherif. The network helps show where Asma Cherif may publish in the future.
Co-authors
The 13 scholars most cited alongside Asma Cherif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 14 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2013 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2010 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Asma Cherif
Asma Cherif is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 48 papers that have together received 265 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Access Control and Trust (6 papers), Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (4 papers), Natural Language Processing Techniques (4 papers), Blockchain Technology Applications and Security (4 papers), Asthma and respiratory diseases (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Artificial Intelligence (148 citations), Health Informatics (6 citations), Accounting (50 citations), Media Technology (38 citations) and Computer Networks and Communications (75 citations). Asma Cherif has collaborated with scholars based in Saudi Arabia, France and Tunisia. Frequent co-authors include Suhair Alshehri, Abdessamad Imine, Manal Kalkatawi, Farrukh Nadeem, Michaël Rusinowitch, Rafik Braham, Wadii Boulila, Mahdi Jemmali, Maha Driss and Fatma Bouabdallah. Their work appears in journals such as IEEE Access, International Journal of Security and Networks, Journal of King Saud University - Computer and Information Sciences, Pervasive and Mobile Computing and Machine Vision 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.