Hakima Ould‐Slimane

1.1k total citations · 1 hit paper
32 papers, 709 citations indexed

About

Hakima Ould‐Slimane is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Hakima Ould‐Slimane has authored 32 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Hakima Ould‐Slimane's work include Privacy-Preserving Technologies in Data (17 papers), Cryptography and Data Security (11 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Hakima Ould‐Slimane is often cited by papers focused on Privacy-Preserving Technologies in Data (17 papers), Cryptography and Data Security (11 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Hakima Ould‐Slimane collaborates with scholars based in Canada, Lebanon and United Arab Emirates. Hakima Ould‐Slimane's co-authors include Chamseddine Talhi, Azzam Mourad, Mohsen Guizani, Sawsan AbdulRahman, Hanine Tout, Saed Alrabaee, Hadi Otrok, Ernesto Damiani, Hanifa Boucheneb and Kim‐Kwang Raymond Choo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Hakima Ould‐Slimane

28 papers receiving 691 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

2020 504 citations Sawsan AbdulRahman, Hakima Ould‐Slimane et al. IEEE Internet of Things Journal profile →

Peers

Hakima Ould‐Slimane

AI

CNC

EEE

IS

CSA

Sawsan AbdulRahman Lebanon

Chandra Thapa Australia

Jed Mills United Kingdom

Xuebin Ren China

Qasim Ali Arain Pakistan

Xu Zheng China

Gaoyang Liu China

Hangyu Zhu China

Wenjuan Tang China

Adnan Mahmood Australia

Sawsan AbdulRahman Lebanon

Hakima Ould‐Slimane

619 ×1.2

AI

218 ×1.0

CNC

155 ×1.1

EEE

125 ×0.9

IS

112 ×1.6

CSA

Citations per year, relative to Hakima Ould‐Slimane Hakima Ould‐Slimane (= 1×) peers Sawsan AbdulRahman

Countries citing papers authored by Hakima Ould‐Slimane

Since Specialization

Citations

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

Fields of papers citing papers by Hakima Ould‐Slimane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hakima Ould‐Slimane. 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 Hakima Ould‐Slimane. The network helps show where Hakima Ould‐Slimane may publish in the future.

Co-authorship network of co-authors of Hakima Ould‐Slimane

This figure shows the co-authorship network connecting the top 25 collaborators of Hakima Ould‐Slimane. A scholar is included among the top collaborators of Hakima Ould‐Slimane 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 Hakima Ould‐Slimane. Hakima Ould‐Slimane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Sami, Hani, et al.. (2025). Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data. Journal of Network and Computer Applications. 236. 104105–104105. 4 indexed citations

2.

Sami, Hani, et al.. (2025). Privacy-Preserving Continuous User Authentication Using Federated Learning. Espace ÉTS (ETS). 1404–1409.

3.

Talhi, Chamseddine, et al.. (2024). Optimizing CP-ABE Decryption in Urban VANETs: A Hybrid Reinforcement Learning and Differential Evolution Approach. IEEE Open Journal of the Communications Society. 5. 6535–6545. 1 indexed citations

4.

Ould‐Slimane, Hakima, et al.. (2024). A Continuous Authentication Approach for Mobile Crowdsourcing Based on Federated Learning. IEEE Access. 12. 178237–178250. 1 indexed citations

5.

Kara, Nadjia, et al.. (2024). Machine Learning and Large Language Models-based Techniques for Cyber Threat Detection: A Comparative Study. Espace ÉTS (ETS). 1–9.

6.

Talhi, Chamseddine, et al.. (2023). A Multi-Objective Approach Based on Differential Evolution and Deep Learning Algorithms for VANETs. IEEE Transactions on Vehicular Technology. 72(3). 3035–3050. 15 indexed citations

7.

Ould‐Slimane, Hakima, et al.. (2023). Secure Adaptive Context-Aware ABE for Smart Environments. SHILAP Revista de lepidopterología. 4(2). 112–130. 5 indexed citations

8.

Talhi, Chamseddine, et al.. (2023). Proactive and Intelligent Monitoring and Orchestration of Cloud-Native IP Multimedia Subsystem. IEEE Open Journal of the Communications Society. 5. 139–155.

9.

Ould‐Slimane, Hakima, et al.. (2023). Towards Cluster-Based Split Federated Learning Approach for Continuous User Authentication. Espace ÉTS (ETS). 114–118. 1 indexed citations

10.

Otrok, Hadi, et al.. (2023). ModularFed: Leveraging modularity in federated learning frameworks. Internet of Things. 22. 100694–100694. 19 indexed citations

11.

Ould‐Slimane, Hakima, et al.. (2022). CAPEF: Context-Aware Policy Enforcement Framework for Android Applications. 2(1). 13–23. 1 indexed citations

12.

Ould‐Slimane, Hakima, et al.. (2022). Joint theme and event based rating model for identifying relevant influencers on Twitter: COVID-19 case study. Research Repository (University of Gloucestershire). 31. 100226–100226. 5 indexed citations

13.

AbdulRahman, Sawsan, et al.. (2022). Adaptive Upgrade of Client Resources for Improving the Quality of Federated Learning Model. IEEE Internet of Things Journal. 10(5). 4677–4687. 14 indexed citations

14.

Ould‐Slimane, Hakima, et al.. (2022). Joint Theme and Event Based Rating Model for Identifying Relevant Influencers on Twitter: COVID-19 Case Study. SSRN Electronic Journal. 4 indexed citations

15.

Ould‐Slimane, Hakima, et al.. (2020). Smart offloading technique for CP-ABE encryption schemes in constrained devices. SN Applied Sciences. 2(2). 9 indexed citations

16.

Talhi, Chamseddine, et al.. (2020). TD‐PSO: Task distribution approach based on particle swarm optimization for vehicular ad hoc network. Transactions on Emerging Telecommunications Technologies. 33(3). 19 indexed citations

17.

Talhi, Chamseddine, et al.. (2019). Performance Evaluation of CP-ABE Schemes under Constrained Devices. Procedia Computer Science. 155. 425–432. 13 indexed citations

18.

Ould‐Slimane, Hakima, et al.. (2014). A formal framework for verifying inter-firewalls consistency. PolyPublie (École Polytechnique de Montréal). 64. 1–7. 1 indexed citations

19.

Ould‐Slimane, Hakima, et al.. (2012). WiseShare: A Collaborative Environment for Knowledge Sharing Governed by ABAC Policies. PolyPublie (École Polytechnique de Montréal). 2 indexed citations

20.

Ould‐Slimane, Hakima, et al.. (2006). Enforcing Security Policies on Programs. 127(8). 195–207.

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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