Hatim Chergui

898 total citations
33 papers, 546 citations indexed

About

Hatim Chergui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hatim Chergui has authored 33 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Hatim Chergui's work include Software-Defined Networks and 5G (15 papers), Privacy-Preserving Technologies in Data (9 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Hatim Chergui is often cited by papers focused on Software-Defined Networks and 5G (15 papers), Privacy-Preserving Technologies in Data (9 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Hatim Chergui collaborates with scholars based in Spain, Greece and France. Hatim Chergui's co-authors include Christos Verikoukis, Farhad Rezazadeh, Luis Blanco, Mustapha Benjillali, Samir Saoudi, Adlen Ksentini, Long Kong, Georges Kaddoum, Kostas Ramantas and Luis Alonso and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Hatim Chergui

32 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hatim Chergui Spain 12 329 318 101 42 40 33 546
Zoubeir Mlika Canada 14 337 1.0× 380 1.2× 123 1.2× 64 1.5× 44 1.1× 33 567
Thi Mai Trang Nguyen France 11 236 0.7× 232 0.7× 77 0.8× 34 0.8× 20 0.5× 31 460
Pawani Porambage Finland 8 186 0.6× 197 0.6× 100 1.0× 73 1.7× 31 0.8× 14 377
Shunpu Tang China 10 249 0.8× 210 0.7× 134 1.3× 56 1.3× 90 2.3× 17 442
Zhengquan Li China 13 312 0.9× 260 0.8× 71 0.7× 54 1.3× 38 0.9× 63 479
Yanli Qi China 8 248 0.8× 276 0.9× 80 0.8× 54 1.3× 81 2.0× 16 474
Shalitha Wijethilaka Ireland 5 163 0.5× 260 0.8× 48 0.5× 45 1.1× 27 0.7× 13 372
Aveek Dutta United States 13 209 0.6× 227 0.7× 66 0.7× 36 0.9× 56 1.4× 48 414
Manjesh K. Hanawal India 9 179 0.5× 232 0.7× 76 0.8× 25 0.6× 62 1.6× 63 362
Xuhui Chen United States 4 234 0.7× 118 0.4× 131 1.3× 33 0.8× 57 1.4× 6 371

Countries citing papers authored by Hatim Chergui

Since Specialization
Citations

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

Fields of papers citing papers by Hatim Chergui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hatim Chergui

This figure shows the co-authorship network connecting the top 25 collaborators of Hatim Chergui. A scholar is included among the top collaborators of Hatim Chergui 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 Hatim Chergui. Hatim Chergui 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.
Brik, Bouziane, Hatim Chergui, Lanfranco Zanzi, et al.. (2024). Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research. IEEE Communications Surveys & Tutorials. 27(5). 2826–2859. 7 indexed citations
2.
Rezazadeh, Farhad, Hatim Chergui, Mehdi Bennis, et al.. (2024). Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. IEEE Open Journal of the Communications Society. 5. 6239–6260. 8 indexed citations
3.
Rezazadeh, Farhad, et al.. (2024). Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. IEEE Wireless Communications. 31(5). 192–199. 8 indexed citations
4.
Chergui, Hatim, et al.. (2024). Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case. IEEE Transactions on Vehicular Technology. 73(7). 10529–10538. 11 indexed citations
5.
Chergui, Hatim, et al.. (2024). Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing. IEEE Transactions on Cognitive Communications and Networking. 10(6). 2269–2281. 3 indexed citations
6.
Chauhan, Puspraj Singh, et al.. (2023). Utilizing double-shadowed Rician fading over energy detector-based spectrum sensing with diversity reception. AEU - International Journal of Electronics and Communications. 170. 154840–154840. 1 indexed citations
7.
Rezazadeh, Farhad, et al.. (2023). Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. Zenodo (CERN European Organization for Nuclear Research). 1238–1243. 10 indexed citations
8.
Rezazadeh, Farhad, Hatim Chergui, & Josep Mangues‐Bafalluy. (2023). Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. Zenodo (CERN European Organization for Nuclear Research). 1026–1031. 14 indexed citations
9.
Rezazadeh, Farhad, et al.. (2022). SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. IEEE Transactions on Intelligent Transportation Systems. 24(7). 7653–7663. 15 indexed citations
10.
Chergui, Hatim, et al.. (2022). A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing. ICC 2022 - IEEE International Conference on Communications. 4269–4274. 11 indexed citations
11.
Rezazadeh, Farhad, Hatim Chergui, Luis Blanco, Luis Alonso, & Christos Verikoukis. (2021). A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 7 indexed citations
12.
Chergui, Hatim, et al.. (2021). Entropy-Driven Stochastic Federated Learning in Non-IID 6G Edge-RAN. SHILAP Revista de lepidopterología. 2. 2 indexed citations
13.
Chergui, Hatim, et al.. (2021). Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 3 indexed citations
14.
Ramantas, Kostas, et al.. (2021). 5G experimentation environment for third party media services: the 5GMediaHUB project. Zenodo (CERN European Organization for Nuclear Research). 1–6. 4 indexed citations
15.
Rezazadeh, Farhad, et al.. (2021). Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. 1–6. 18 indexed citations
16.
Mahmood, Nurul Huda, et al.. (2021). Power‐domain non‐orthogonal multiple access based full‐duplex one‐way wireless relaying network. Transactions on Emerging Telecommunications Technologies. 32(10). 9 indexed citations
17.
Chergui, Hatim & Christos Verikoukis. (2020). OPEX-Limited 5G RAN Slicing: an Over-Dataset Constrained Deep Learning Approach. Zenodo (CERN European Organization for Nuclear Research). 1–6. 11 indexed citations
18.
Chergui, Hatim & Christos Verikoukis. (2019). Offline SLA-Constrained Deep Learning for 5G Networks Reliable and Dynamic End-to-End Slicing. IEEE Journal on Selected Areas in Communications. 38(2). 350–360. 54 indexed citations
19.
Kong, Long, Georges Kaddoum, & Hatim Chergui. (2019). On Physical Layer Security Over Fox's $H$-Function Wiretap Fading Channels. IEEE Transactions on Vehicular Technology. 68(7). 6608–6621. 40 indexed citations
20.
Benjillali, Mustapha, et al.. (2016). Performance Analysis of M-QAM Multihop Relaying over mmWave Weibull Fading Channels.. arXiv (Cornell University). 11 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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