Mohammed Laroui

446 citations
14 papers · 255 · 1 hit paper · h-index 5

Impact in

Papers in

Mohammed Laroui

13 papers receiving 247 citations

Mohammed Laroui's Hit Papers

Edge and fog computing for IoT: A survey on current research activities & future directions 2021 · 179 citations
1790+1+3Years since publication50100150

Peers

Mohammed Laroui
Comparison fields: 5 of 38
  • Computer Networks and Communications 179
  • Information Systems 86
  • Computer Vision and Pattern Recognition 39
  • Industrial and Manufacturing Engineering 17
  • Computer Science Applications 8
Replace Jian Wan with:
Jian Wan China
Humaira Ijaz Pakistan
Ziru Zhang China
Tong Tang China
Bushra Jamil Pakistan
Jaber Almutairi Saudi Arabia
Arun Kumar Yadav India
Babatunji Omoniwa Ireland
Qusay Idrees Sarhan Iraq
Weifeng Gao China
Mohammed Laroui relative to Jian Wan China Jian Wan's profile →
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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-authors

The 6 scholars most cited alongside Mohammed Laroui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammed Laroui Line = papers co-authored together Mohammed Laroui links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Edge and fog computing for IoT: A survey on current research activities & future directions
Hit paper breakdown →
2021179
2 202120
3 202113
4 202312
5 202212
6 20234
7 20204
8 20212
9 20222
10 20212
11 20222
12 20222
13 20221
14 20240

About Mohammed Laroui

Mohammed Laroui is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Information Systems and Urban Studies, having authored 14 papers that have together received 255 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), UAV Applications and Optimization (5 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Software-Defined Networks and 5G (4 papers), Advanced Wireless Communication Technologies (4 papers), Blockchain Technology Applications and Security (3 papers), IoT Networks and Protocols (3 papers) and Advanced Computing and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (179 citations), Information Systems (86 citations), Computer Vision and Pattern Recognition (39 citations), Industrial and Manufacturing Engineering (17 citations) and Computer Science Applications (8 citations). Mohammed Laroui has collaborated with scholars based in France, Algeria and United States. Frequent co-authors include Hassine Moungla, Hossam Afifi, Boubakr Nour, Mohsen Guizani, Ahmed E. Kamal and Emad Abd-Elrahman. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Computer Networks, IEEE Access, Computer Communications and HAL (Le Centre pour la Communication Scientifique Directe).

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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