Mohammed Laroui

424 total citations · 1 hit paper
13 papers, 243 citations indexed

About

Mohammed Laroui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Mohammed Laroui has authored 13 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Mohammed Laroui's work include IoT and Edge/Fog Computing (8 papers), UAV Applications and Optimization (5 papers) and Software-Defined Networks and 5G (4 papers). Mohammed Laroui is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), UAV Applications and Optimization (5 papers) and Software-Defined Networks and 5G (4 papers). Mohammed Laroui collaborates with scholars based in France, Algeria and United States. Mohammed Laroui's co-authors include Hassine Moungla, Hossam Afifi, Boubakr Nour, Mohsen Guizani, Emad Abd-Elrahman and Ahmed E. Kamal and has published in prestigious journals such as IEEE Access, Computer Networks and Computer Communications.

In The Last Decade

Mohammed Laroui

13 papers receiving 235 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.

Edge and fog computing for IoT: A survey on current research activities & future directions

2021 172 citations Mohammed Laroui, Boubakr Nour et al. Computer Communications profile →

Peers

Mohammed Laroui

CNC

IS

EEE

CVPR

AI

Bo Lei China

Junhui Du China

Khaled Matrouk Jordan

R Santhakumar India

Tong Tang China

Jianqun Cui China

Sunitha Safavat United States

Jaber Almutairi Saudi Arabia

Ziru Zhang China

Kaushik Mishra India

Bo Lei China

Mohammed Laroui

200 ×1.2

CNC

98 ×1.2

IS

97 ×1.5

EEE

27 ×0.7

CVPR

36 ×1.1

AI

Citations per year, relative to Mohammed Laroui Mohammed Laroui (= 1×) peers Bo Lei

Countries citing papers authored by Mohammed Laroui

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Laroui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Laroui

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

All Works

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13 of 13 papers shown

1.

Laroui, Mohammed, et al.. (2023). Service Function Chains multi-resource orchestration in Virtual Mobile Edge Computing. Computer Networks. 224. 109582–109582. 4 indexed citations

2.

Laroui, Mohammed, et al.. (2023). 6G‐edge support of Internet of Autonomous Vehicles: A survey. Transactions on Emerging Telecommunications Technologies. 35(1). 10 indexed citations

3.

Laroui, Mohammed, et al.. (2022). Next-Generation Edge Computing Assisted Autonomous Driving Based Artificial Intelligence Algorithms. IEEE Access. 10. 53987–54001. 11 indexed citations

4.

Laroui, Mohammed, et al.. (2022). Prefetching of mobile devices information - a DNS perspective. ICC 2022 - IEEE International Conference on Communications. 39. 4293–4299. 1 indexed citations

5.

Laroui, Mohammed, et al.. (2022). Intelligent Reflecting Surface Aided Vehicular Edge Computing. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5577–5582. 2 indexed citations

6.

Laroui, Mohammed, et al.. (2022). Optimal Mobile IRS Deployment with Reinforcement Learning Encoder Decoders. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 1966–1971. 2 indexed citations

7.

Laroui, Mohammed, et al.. (2022). Reinforcement Learning Vs ILP Optimization in IoT support of Drone assisted Cellular Networks. ICC 2022 - IEEE International Conference on Communications. 2 indexed citations

8.

Laroui, Mohammed, et al.. (2021). Edge and fog computing for IoT: A survey on current research activities & future directions. Computer Communications. 180. 210–231. 172 indexed citations breakdown →

9.

Laroui, Mohammed, et al.. (2021). Edge Computing Assisted Autonomous Driving Using Artificial Intelligence. 254–259. 12 indexed citations

10.

Laroui, Mohammed, et al.. (2021). SO‐VMEC: Service offloading in virtual mobile edge computing using deep reinforcement learning. Transactions on Emerging Telecommunications Technologies. 33(10). 20 indexed citations

11.

Laroui, Mohammed, et al.. (2021). Artificial Intelligence Approach for Service Function Chains Orchestration at The Network Edge. 1–6. 2 indexed citations

12.

Laroui, Mohammed, et al.. (2021). Autonomous UAV Aided Vehicular Edge Computing for Service Offering. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 2 indexed citations

13.

Laroui, Mohammed, et al.. (2020). Scalable and Cost Efficient Resource Allocation Algorithms Using Deep Reinforcement Learning. HAL (Le Centre pour la Communication Scientifique Directe). 946–951. 3 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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