Zoubeir Mlika

840 total citations
33 papers, 567 citations indexed

About

Zoubeir Mlika is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Zoubeir Mlika has authored 33 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 3 papers in Epidemiology. Recurrent topics in Zoubeir Mlika's work include Advanced MIMO Systems Optimization (13 papers), Cooperative Communication and Network Coding (11 papers) and Software-Defined Networks and 5G (7 papers). Zoubeir Mlika is often cited by papers focused on Advanced MIMO Systems Optimization (13 papers), Cooperative Communication and Network Coding (11 papers) and Software-Defined Networks and 5G (7 papers). Zoubeir Mlika collaborates with scholars based in Canada, Morocco and France. Zoubeir Mlika's co-authors include Soumaya Cherkaoui, Abdellatif Kobbane, Abderrahime Filali, Wessam Ajib, Amine Abouaomar, Afaf Taïk, Hajar Moudoud, Lyes Khoukhi, Fatma Abdelkefi and Boubakr Nour and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Zoubeir Mlika

33 papers receiving 555 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zoubeir Mlika Canada 14 380 337 123 64 44 33 567
Hatim Chergui Spain 12 318 0.8× 329 1.0× 101 0.8× 42 0.7× 40 0.9× 33 546
Shiwei Lai China 14 299 0.8× 303 0.9× 146 1.2× 78 1.2× 109 2.5× 16 542
Mehdi Amirijoo Sweden 15 458 1.2× 351 1.0× 69 0.6× 57 0.9× 20 0.5× 40 662
Aneta Vulgarakis Feljan Sweden 7 227 0.6× 210 0.6× 217 1.8× 36 0.6× 42 1.0× 13 472
Shunpu Tang China 10 210 0.6× 249 0.7× 134 1.1× 56 0.9× 90 2.0× 17 442
Behrang Barekatain Iran 15 370 1.0× 221 0.7× 99 0.8× 73 1.1× 19 0.4× 55 549
Xiaoge Huang China 14 425 1.1× 318 0.9× 78 0.6× 104 1.6× 73 1.7× 66 552

Countries citing papers authored by Zoubeir Mlika

Since Specialization
Citations

This map shows the geographic impact of Zoubeir Mlika'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 Zoubeir Mlika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoubeir Mlika more than expected).

Fields of papers citing papers by Zoubeir Mlika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zoubeir Mlika. 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 Zoubeir Mlika. The network helps show where Zoubeir Mlika may publish in the future.

Co-authorship network of co-authors of Zoubeir Mlika

This figure shows the co-authorship network connecting the top 25 collaborators of Zoubeir Mlika. A scholar is included among the top collaborators of Zoubeir Mlika based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zoubeir Mlika. Zoubeir Mlika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mlika, Zoubeir, et al.. (2024). Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming. SHILAP Revista de lepidopterología. 2. 939–955. 3 indexed citations
2.
Filali, Abderrahime, Zoubeir Mlika, & Soumaya Cherkaoui. (2024). Open RAN Slicing for MVNOs With Deep Reinforcement Learning. IEEE Internet of Things Journal. 11(10). 18711–18725. 1 indexed citations
3.
Mlika, Zoubeir, et al.. (2023). User trajectory prediction in mobile wireless networks using quantum reservoir computing. SHILAP Revista de lepidopterología. 4(3). 125–135. 5 indexed citations
4.
Abouaomar, Amine, Soumaya Cherkaoui, Zoubeir Mlika, & Abdellatif Kobbane. (2022). Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. IEEE Systems Journal. 16(4). 5357–5368. 7 indexed citations
5.
Moudoud, Hajar, Zoubeir Mlika, Lyes Khoukhi, & Soumaya Cherkaoui. (2022). Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model. IEEE Transactions on Network Science and Engineering. 9(5). 2978–2990. 38 indexed citations
6.
Mlika, Zoubeir & Soumaya Cherkaoui. (2022). Deep Deterministic Policy Gradient to Minimize the Age of Information in Cellular V2X Communications. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23597–23612. 22 indexed citations
7.
Taïk, Afaf, Zoubeir Mlika, & Soumaya Cherkaoui. (2022). Clustered Vehicular Federated Learning: Process and Optimization. IEEE Transactions on Intelligent Transportation Systems. 23(12). 25371–25383. 65 indexed citations
8.
Filali, Abderrahime, Zoubeir Mlika, Soumaya Cherkaoui, & Abdellatif Kobbane. (2022). Dynamic SDN-Based Radio Access Network Slicing With Deep Reinforcement Learning for URLLC and eMBB Services. IEEE Transactions on Network Science and Engineering. 9(4). 2174–2187. 73 indexed citations
9.
Nour, Boubakr, Soumaya Cherkaoui, & Zoubeir Mlika. (2021). Federated Learning and Proactive Computation Reuse at the Edge of Smart Homes. IEEE Transactions on Network Science and Engineering. 9(5). 3045–3056. 19 indexed citations
10.
Abouaomar, Amine, Soumaya Cherkaoui, Zoubeir Mlika, & Abdellatif Kobbane. (2021). Resource Provisioning in Edge Computing for Latency-Sensitive Applications. IEEE Internet of Things Journal. 8(14). 11088–11099. 58 indexed citations
11.
Mlika, Zoubeir & Soumaya Cherkaoui. (2021). Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning. IEEE Internet of Things Journal. 8(17). 13624–13639. 23 indexed citations
12.
Mlika, Zoubeir & Soumaya Cherkaoui. (2021). Competitive Algorithms and Reinforcement Learning for NOMA in IoT Networks. arXiv (Cornell University). 1–6. 3 indexed citations
13.
Mlika, Zoubeir & Soumaya Cherkaoui. (2021). Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach. Annals of Telecommunications. 76(9-10). 665–683. 19 indexed citations
14.
Filali, Abderrahime, Zoubeir Mlika, Soumaya Cherkaoui, & Abdellatif Kobbane. (2020). Preemptive SDN Load Balancing With Machine Learning for Delay Sensitive Applications. IEEE Transactions on Vehicular Technology. 69(12). 15947–15963. 50 indexed citations
15.
Mlika, Zoubeir, et al.. (2019). Deadline Scheduling in Energy Harvesting Networks: Competitive and Learning Algorithms. 1–6. 1 indexed citations
16.
Mlika, Zoubeir, et al.. (2018). User Association Under SINR Constraints in HetNets: Upper Bound and NP-Hardness. IEEE Communications Letters. 22(8). 1672–1675. 7 indexed citations
17.
Mlika, Zoubeir, et al.. (2017). On the user association and resource allocation in hetnets with mmWave base stations. 1–5. 15 indexed citations
18.
Mlika, Zoubeir, et al.. (2016). User–Base-Station Association in HetSNets: Complexity and Efficient Algorithms. IEEE Transactions on Vehicular Technology. 66(2). 1484–1495. 17 indexed citations
19.
Mlika, Zoubeir, et al.. (2014). Femtocell Association in Two-Tier Cellular Networks: Complexity and Efficient Algorithms.. arXiv (Cornell University). 2 indexed citations
20.
Mlika, Zoubeir, et al.. (2013). Efficient user and power allocation in femtocell networks. 578–583. 1 indexed citations

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.

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