Afaf Taïk
Impact in
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- Privacy-Preserving Technologies in Data
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
Papers in
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- Green IT and Sustainability 1
- Vehicular Ad Hoc Networks (VANETs) 1
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- Network Security and Intrusion Detection 1
- Software-Defined Networks and 5G 1
- Co-authors
- Soumaya Cherkaoui (3 shared papers)Zoubeir Mlika (1 shared paper)Amine Abouaomar (1 shared paper)Abderrahime Filali (1 shared paper)Boubakr Nour (1 shared paper)Golnoosh Farnadi (5 shared papers)Gilles Caporossi (1 shared paper)Nicolas Roux (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Wireless Communications (1 paper)IEEE Communications Magazine (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Afaf Taïk
6 papers receiving 142 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 80
- Computer Networks and Communications 51
- Computer Science Applications 10
- Electrical and Electronic Engineering 88
- Transportation 8
Countries citing papers authored by Afaf Taïk
This map shows the geographic impact of Afaf Taïk'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 Afaf Taïk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afaf Taïk more than expected).
Fields of papers citing papers by Afaf Taïk
This network shows the impact of papers produced by Afaf Taïk. 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 Afaf Taïk. The network helps show where Afaf Taïk may publish in the future.
Co-authors
The 11 scholars most cited alongside Afaf Taïk, 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 | 2022 | 66 | |
| 2 | 2022 | 46 | |
| 3 | 2021 | 26 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2023 | 0 |
About Afaf Taïk
Afaf Taïk is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Health and Safety Research, having authored 8 papers that have together received 144 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Green IT and Sustainability (1 paper), Vaccine Coverage and Hesitancy (1 paper), Vehicular Ad Hoc Networks (VANETs) (1 paper), Network Security and Intrusion Detection (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Software-Defined Networks and 5G (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Artificial Intelligence (80 citations), Computer Networks and Communications (51 citations), Computer Science Applications (10 citations), Electrical and Electronic Engineering (88 citations) and Transportation (8 citations). Afaf Taïk has collaborated with scholars based in Canada and United States. Frequent co-authors include Soumaya Cherkaoui, Zoubeir Mlika, Amine Abouaomar, Abderrahime Filali, Boubakr Nour, Golnoosh Farnadi, Gilles Caporossi, Nicolas Roux, Martine De Cock and Reihaneh Rabbany. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Wireless Communications, IEEE Communications Magazine, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the AAAI/ACM Conference on AI Ethics and Society.
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.