Tarik Taleb
Impact in
- Computer Networks and Communications top 0.01%
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Network Security and Intrusion Detection
-
- Vehicular Ad Hoc Networks (VANETs)
- Advanced MIMO Systems Optimization
Papers in
-
- Software-Defined Networks and 5G 141
- IoT and Edge/Fog Computing 127
- Caching and Content Delivery 89
- Network Security and Intrusion Detection 53
- Network Traffic and Congestion Control 45
- Opportunistic and Delay-Tolerant Networks 39
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- Advanced Wireless Network Optimization 43
- Co-authors
- Adlen Ksentini (42 shared papers)Miloud Bagaa (78 shared papers)Hannu Flinck (27 shared papers)Konstantinos Samdanis (21 shared papers)Naser Hossein Motlagh (6 shared papers)Chafika Benzaïd (38 shared papers)Victor C. M. Leung (10 shared papers)Sunny Dutta (3 shared papers)
- Journals
- IEEE Network (48 papers)IEEE Internet of Things Journal (28 papers)IEEE Communications Magazine (18 papers)IEEE Transactions on Vehicular Technology (18 papers)IEEE Transactions on Mobile Computing (15 papers)
- Partner nations
- FinlandSouth KoreaGermany
In The Last Decade
Tarik Taleb
424 papers receiving 17.7k citations
Tarik Taleb's Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Networks and Communications 14.0k
- Electrical and Electronic Engineering 7.5k
- Information Systems 2.6k
- Aerospace Engineering 2.8k
- Computer Vision and Pattern Recognition 1.9k
Countries citing papers authored by Tarik Taleb
This map shows the geographic impact of Tarik Taleb'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 Tarik Taleb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarik Taleb more than expected).
Fields of papers citing papers by Tarik Taleb
This network shows the impact of papers produced by Tarik Taleb. 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 Tarik Taleb. The network helps show where Tarik Taleb may publish in the future.
Co-authors
The 25 scholars most cited alongside Tarik Taleb, 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 446 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration Hit paper breakdown → | 2017 | 1270 |
| 2 | Cache in the air: exploiting content caching and delivery techniques for 5G systems Hit paper breakdown → | 2014 | 854 |
| 3 | Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions Hit paper breakdown → | 2018 | 765 |
| 4 | Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives Hit paper breakdown → | 2016 | 715 |
| 5 | Survey on Multi-Access Edge Computing for Internet of Things Realization Hit paper breakdown → | 2018 | 568 |
| 6 | UAV-Based IoT Platform: A Crowd Surveillance Use Case Hit paper breakdown → | 2017 | 563 |
| 7 | Edge Computing for the Internet of Things: A Case Study Hit paper breakdown → | 2018 | 489 |
| 8 | Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems Hit paper breakdown → | 2021 | 345 |
| 9 | Machine-type communications: current status and future perspectives toward 5G systems Hit paper breakdown → | 2015 | 316 |
| 10 | 2007 | 315 | |
| 11 | Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching Hit paper breakdown → | 2020 | 308 |
| 12 | Mobile Edge Computing Potential in Making Cities Smarter Hit paper breakdown → | 2017 | 307 |
| 13 | A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems Hit paper breakdown → | 2018 | 303 |
| 14 | 2020 | 208 | |
| 15 | 2018 | 207 | |
| 16 | 2016 | 199 | |
| 17 | 2013 | 180 | |
| 18 | 2016 | 179 | |
| 19 | 2011 | 172 | |
| 20 | 2020 | 162 |
About Tarik Taleb
Tarik Taleb is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 446 papers that have together received 18.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (141 papers), IoT and Edge/Fog Computing (127 papers), Caching and Content Delivery (89 papers), Network Security and Intrusion Detection (53 papers), UAV Applications and Optimization (46 papers), Network Traffic and Congestion Control (45 papers), Advanced Wireless Network Optimization (43 papers) and Opportunistic and Delay-Tolerant Networks (39 papers). The work is most often cited by research in Computer Networks and Communications (14.0k citations), Electrical and Electronic Engineering (7.5k citations), Information Systems (2.6k citations), Aerospace Engineering (2.8k citations) and Computer Vision and Pattern Recognition (1.9k citations). Tarik Taleb has collaborated with scholars based in Finland, South Korea and Germany. Frequent co-authors include Adlen Ksentini, Miloud Bagaa, Hannu Flinck, Konstantinos Samdanis, Naser Hossein Motlagh, Chafika Benzaïd, Victor C. M. Leung, Sunny Dutta, Xiaofei Wang and Osama Arouk. Their work appears in journals such as IEEE Network, IEEE Internet of Things Journal, IEEE Communications Magazine, IEEE Transactions on Vehicular Technology and IEEE Transactions on Mobile Computing.
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.