Asma Cherif
Impact in
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- IoT and Edge/Fog Computing 9
- Caching and Content Delivery 5
- Peer-to-Peer Network Technologies 5
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- Natural Language Processing Techniques 4
- Co-authors
- Suhair Alshehri (11 shared papers)Abdessamad Imine (17 shared papers)Manal Kalkatawi (3 shared papers)Farrukh Nadeem (4 shared papers)Michaël Rusinowitch (4 shared papers)Rafik Braham (1 shared paper)Maha Driss (2 shared papers)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)Computer Networks (1 paper)
- Partner nations
- Saudi ArabiaFranceTunisia
In The Last Decade
Asma Cherif
42 papers receiving 308 citations
Peers
Comparison fields: 5 of 66
- Accounting 63
- Media Technology 46
- Artificial Intelligence 175
- Health Informatics 5
- Computer Networks and Communications 85
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 14 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 109 | |
| 2 | 2021 | 28 | |
| 3 | 2024 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2009 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2010 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Asma Cherif
Asma Cherif is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 324 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Access Control and Trust (7 papers), Blockchain Technology Applications and Security (5 papers), Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (5 papers), Natural Language Processing Techniques (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Accounting (63 citations), Media Technology (46 citations), Artificial Intelligence (175 citations), Health Informatics (5 citations) and Computer Networks and Communications (85 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, Maha Driss, Mahdi Jemmali, Wadii Boulila and Muhammad Mostafa Monowar. 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 Computer 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.