Youssef Mourdi

687 total citations · 1 hit paper
16 papers, 370 citations indexed

About

Youssef Mourdi is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Youssef Mourdi has authored 16 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Youssef Mourdi's work include Online Learning and Analytics (7 papers), Augmented Reality Applications (5 papers) and IoT and Edge/Fog Computing (3 papers). Youssef Mourdi is often cited by papers focused on Online Learning and Analytics (7 papers), Augmented Reality Applications (5 papers) and IoT and Edge/Fog Computing (3 papers). Youssef Mourdi collaborates with scholars based in Morocco. Youssef Mourdi's co-authors include Hanane Allioui, Mohamed Sadgal and Mohamed El Adnani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Multimedia Tools and Applications.

In The Last Decade

Youssef Mourdi

16 papers receiving 330 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.

Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey

2023 238 citations Hanane Allioui, Youssef Mourdi Sensors profile →

Peers

Youssef Mourdi

CSA

CNC

MIS

Paolo Maresca Italy

Sulayman K. Sowe Japan

Gianmario Motta Italy

Abdel‐Rahman H. Tawil United Kingdom

Nitasha Hasteer India

Efi Papatheocharous Sweden

Hannu Jaakkola Finland

Mona Nasr Egypt

Nihat Kasap Türkiye

Paolo Maresca Italy

Youssef Mourdi

185 ×2.1

61 ×0.7

CSA

68 ×1.0

78 ×1.3

CNC

23 ×0.5

MIS

Citations per year, relative to Youssef Mourdi Youssef Mourdi (= 1×) peers Paolo Maresca

Countries citing papers authored by Youssef Mourdi

Since Specialization

Citations

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

Fields of papers citing papers by Youssef Mourdi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youssef Mourdi

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Allioui, Hanane, et al.. (2024). Navigating transformation: unveiling the synergy of IoT, multimedia trends, and AI for sustainable financial growth in African context. Multimedia Tools and Applications. 84(9). 6473–6517. 1 indexed citations

Allioui, Hanane, et al.. (2024). Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies. OPSEARCH. 61(2). 918–962. 5 indexed citations

Allioui, Hanane & Youssef Mourdi. (2023). Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey. Sensors. 23(19). 8015–8015. 238 indexed citations breakdown →

Allioui, Hanane, Youssef Mourdi, & Mohamed Sadgal. (2022). Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography. Radiography. 29(1). 109–118. 5 indexed citations

Mourdi, Youssef, et al.. (2022). A recurrent neural networks based framework for at‐risk learners' early prediction and MOOC tutor's decision support. Computer Applications in Engineering Education. 31(2). 270–284. 7 indexed citations

Mourdi, Youssef, et al.. (2021). A Multi-Layers Perceptron for predicting weekly learner commitment in MOOCs. Journal of Physics Conference Series. 1743(1). 12027–12027. 2 indexed citations

Mourdi, Youssef, et al.. (2020). Adoption of MOOCs by Emerging Countries Seeking Solutions to University Overcrowding: Literature Review and Feedback from the First Scientific MOOC Held by Sidi Mohammed Ben Abdullah University – Fez, Morocco. International Journal of Emerging Technologies in Learning (iJET). 15(22). 78–78. 2 indexed citations

Mourdi, Youssef, et al.. (2020). A Machine Learning Based Approach to Enhance Mooc Users’ Classification. Turkish Online Journal of Distance Education. 47–68. 14 indexed citations

Adnani, Mohamed El, et al.. (2020). Virtual reality and augmented reality at the service of increasing interactivity in MOOCs. Education and Information Technologies. 25(4). 2871–2897. 13 indexed citations

10.

Mourdi, Youssef, et al.. (2019). A predictive approach based on efficient feature selection and learning algorithms’ competition: Case of learners’ dropout in MOOCs. Education and Information Technologies. 24(6). 3591–3618. 36 indexed citations

11.

Mourdi, Youssef, et al.. (2019). A machine learning-based methodology to predict learners’ dropout, success or failure in MOOCs. International Journal of Web Information Systems. 15(5). 489–509. 22 indexed citations

12.

Adnani, Mohamed El, et al.. (2018). TOWARD AN OCCLUDED AUGMENTED REALITY FRAMEWORK IN E-LEARNING PLATFORMS FOR PRACTICAL ACTIVITIES. SHILAP Revista de lepidopterología. 5 indexed citations

13.

Adnani, Mohamed El, et al.. (2018). Augmented reality-based approach for interactivity in MOOCs. International Journal of Web Information Systems. 15(2). 134–154. 6 indexed citations

14.

Mourdi, Youssef, et al.. (2018). OpenSimulator based Multi-User Virtual World: A Framework for the Creation of Distant and Virtual Practical Activities. International Journal of Advanced Computer Science and Applications. 9(8). 1 indexed citations

15.

Mourdi, Youssef, et al.. (2016). An Augmented Reality Approach to Integrate Practical Activities in E-Learning Systems. International Journal of Advanced Computer Science and Applications. 7(2). 11 indexed citations

16.

Mourdi, Youssef, et al.. (2015). The integration of augmented reality in the virtual learning environment for practical activities. 2351. 363–368. 2 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.

Explore authors with similar magnitude of impact