Moad Idrissi

569 total citations · 1 hit paper
15 papers, 311 citations indexed

About

Moad Idrissi is a scholar working on Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Moad Idrissi has authored 15 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 5 papers in Computer Networks and Communications and 5 papers in Control and Systems Engineering. Recurrent topics in Moad Idrissi's work include Adaptive Control of Nonlinear Systems (4 papers), UAV Applications and Optimization (4 papers) and Guidance and Control Systems (3 papers). Moad Idrissi is often cited by papers focused on Adaptive Control of Nonlinear Systems (4 papers), UAV Applications and Optimization (4 papers) and Guidance and Control Systems (3 papers). Moad Idrissi collaborates with scholars based in United Kingdom, Saudi Arabia and Indonesia. Moad Idrissi's co-authors include Fawaz Annaz, Mohammad Reza Salami, A. Taufiq Asyhari, Haitham Mahmoud, Adel Aneiba, Ahmed Osman, Syed Attique Shah, Xavier Bellekens, Mohamed Amine Ben Farah and M. Omar Al-Kadri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Future Generation Computer Systems.

In The Last Decade

Moad Idrissi

14 papers receiving 301 citations

Hit Papers

A Review of Quadrotor Unmanned Aerial Vehicles: Applicati... 2022 2026 2023 2024 2022 50 100 150

Peers

Moad Idrissi
Moad Idrissi
Citations per year, relative to Moad Idrissi Moad Idrissi (= 1×) peers Benjamin Lussier

Countries citing papers authored by Moad Idrissi

Since Specialization
Citations

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

Fields of papers citing papers by Moad Idrissi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moad Idrissi

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

All Works

15 of 15 papers shown
1.
Idrissi, Moad, et al.. (2025). Human–robot interaction through joint robot planning with large language models. Intelligent Service Robotics. 18(2). 261–277. 7 indexed citations
3.
Idrissi, Moad, et al.. (2024). Enhanced Intrusion Detection Systems Performance with UNSW-NB15 Data Analysis. Algorithms. 17(2). 64–64. 27 indexed citations
4.
Mahmoud, Haitham, Yunsheng Zhang, Mingxiang Guan, et al.. (2024). A Hybrid Deep Learning Approach for Enhanced Network Slicing in 6G. 434–439. 1 indexed citations
5.
6.
Mahmoud, Haitham, et al.. (2024). Advanced Security Framework for 6G Networks: Integrating Deep Learning and Physical Layer Security. SHILAP Revista de lepidopterología. 4(4). 453–467. 1 indexed citations
7.
Idrissi, Moad, et al.. (2024). Contactless Vital Signs Monitoring in Hospital Wards: A Quadruped Robot Approach. 75–80. 1 indexed citations
8.
Farah, Mohamed Amine Ben, Syed Attique Shah, M. Omar Al-Kadri, et al.. (2024). A survey on blockchain technology in the maritime industry: Challenges and future perspectives. Future Generation Computer Systems. 157. 618–637. 30 indexed citations
9.
Mahmoud, Haitham, et al.. (2023). Smart Industrial Safety using Computer Vision. BCU Open Access Repository (Birmingham City University). 1–6. 1 indexed citations
10.
Idrissi, Moad, et al.. (2022). Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV. Sensors. 22(15). 5497–5497. 20 indexed citations
11.
Aneiba, Adel, et al.. (2022). Large-scale Tree Detection through UAV-based Remote Sensing in Indonesia: Wallacea Case Study. 110–115. 4 indexed citations
12.
Idrissi, Moad, Mohammad Reza Salami, & Fawaz Annaz. (2022). A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms. Journal of Intelligent & Robotic Systems. 104(2). 179 indexed citations breakdown →
13.
Idrissi, Moad, Mohammad Reza Salami, & Fawaz Annaz. (2021). Modelling, simulation and control of a novel structure varying quadrotor. Aerospace Science and Technology. 119. 107093–107093. 21 indexed citations
14.
Idrissi, Moad, Fawaz Annaz, & Mohammad Reza Salami. (2021). Mathematical & Physical Modelling of a Quadrotor UAV. BCU Open Access Repository (Birmingham City University). 206–212. 7 indexed citations
15.
Idrissi, Moad & Fawaz Annaz. (2020). Dynamic Modelling and Analysis of a Quadrotor Based on Selected Physical Parameters. International Journal of Mechanical Engineering and Robotics Research. 784–790. 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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