Mohamed Yassin Chkouri

607 total citations
35 papers, 233 citations indexed

About

Mohamed Yassin Chkouri is a scholar working on Information Systems, Education and Computer Science Applications. According to data from OpenAlex, Mohamed Yassin Chkouri has authored 35 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 8 papers in Education and 8 papers in Computer Science Applications. Recurrent topics in Mohamed Yassin Chkouri's work include Online and Blended Learning (5 papers), Educational Technology and E-Learning (5 papers) and Educational Technology in Learning (4 papers). Mohamed Yassin Chkouri is often cited by papers focused on Online and Blended Learning (5 papers), Educational Technology and E-Learning (5 papers) and Educational Technology in Learning (4 papers). Mohamed Yassin Chkouri collaborates with scholars based in Morocco, Belgium and Spain. Mohamed Yassin Chkouri's co-authors include Mohammed Ouadoud, Kamal Eddine El Kadiri, Abdellah Touhafi, Bruno da Silva, Marius Bozga, Alexandre Campo, José Luis Fernández‐Alemán, Adel Asselman and José A. García‐Berná and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Mohamed Yassin Chkouri

29 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohamed Yassin Chkouri Morocco 8 88 83 53 26 26 35 233
Filippos Giannakas Greece 8 126 1.4× 74 0.9× 67 1.3× 35 1.3× 64 2.5× 11 255
Kostas Vassilakis Greece 8 75 0.9× 103 1.2× 59 1.1× 49 1.9× 37 1.4× 22 266
Nektarios Moumoutzis Greece 9 62 0.7× 31 0.4× 59 1.1× 59 2.3× 37 1.4× 34 243
Loïc Martínez Spain 9 48 0.5× 50 0.6× 39 0.7× 63 2.4× 22 0.8× 25 265
Umi Laili Yuhana Indonesia 9 170 1.9× 54 0.7× 34 0.6× 121 4.7× 21 0.8× 102 301
Xabier Basogain Spain 10 72 0.8× 43 0.5× 142 2.7× 29 1.1× 36 1.4× 36 244
Mohamed Hafidi Algeria 7 93 1.1× 99 1.2× 82 1.5× 72 2.8× 37 1.4× 35 243
Gh. A. Montazer Iran 5 69 0.8× 82 1.0× 86 1.6× 111 4.3× 33 1.3× 14 274
Marc Jansen Germany 7 72 0.8× 23 0.3× 35 0.7× 27 1.0× 26 1.0× 48 186
Hadi Hosseini United States 7 68 0.8× 59 0.7× 46 0.9× 25 1.0× 105 4.0× 29 239

Countries citing papers authored by Mohamed Yassin Chkouri

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Yassin Chkouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Yassin Chkouri. 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 Mohamed Yassin Chkouri. The network helps show where Mohamed Yassin Chkouri may publish in the future.

Co-authorship network of co-authors of Mohamed Yassin Chkouri

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

All Works

20 of 20 papers shown
1.
García‐Berná, José A., et al.. (2025). Serious Games to Improve Privacy and Security Knowledge for Professionals: a Systematic Literature Review. International Journal of Serious Games. 12(1). 3–24.
2.
Chkouri, Mohamed Yassin, et al.. (2024). Towards Reliability in Smart Water Sensing Technology: Evaluating Classical Machine Learning Models for Outlier Detection. Sensors. 24(13). 4084–4084. 3 indexed citations
3.
Chkouri, Mohamed Yassin, et al.. (2024). Proposal of a similarity measure for unified modeling language class diagram images using convolutional neural network. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(2). 1979–1979. 1 indexed citations
4.
Chkouri, Mohamed Yassin, et al.. (2024). Demographic information combined with collaborative filtering for an efficient recommendation system. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(5). 5916–5916.
5.
Chkouri, Mohamed Yassin, et al.. (2024). A Proposed Algorithm for Assessing and Grading Automatically Student UML Diagrams. International Journal of Modern Education and Computer Science. 16(1). 37–46. 2 indexed citations
6.
Chkouri, Mohamed Yassin, et al.. (2024). Emerging Technologies for Water Quality Monitoring and Assessment: A Systematic Review. 1–8. 2 indexed citations
8.
Chkouri, Mohamed Yassin, et al.. (2023). Open Sensing System for Long Term, Low Cost Water Quality Monitoring. IEEE Open Journal of the Industrial Electronics Society. 4. 27–41. 6 indexed citations
9.
Chkouri, Mohamed Yassin, et al.. (2023). Building a recommendation system based on the job offers extracted from the web and the skills of job seekers. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(6). 6964–6964.
10.
Chkouri, Mohamed Yassin, et al.. (2022). Purpose and Design of a Digital Environment for the Professional Insertion of Students Based on the E-portfolio Approach. International Journal of Emerging Technologies in Learning (iJET). 17(1). 36–48. 2 indexed citations
11.
Silva, Bruno da, et al.. (2021). MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification. Applied Sciences. 11(18). 8394–8394. 12 indexed citations
12.
Chkouri, Mohamed Yassin, et al.. (2021). TOWARDS A NEW CONSTRUCTION OF DIGITAL IDENTITY BASED ON THE E-PORTFOLIO APPROACH. International journal of open information technologies. 9(11). 37–42. 1 indexed citations
13.
Silva, Bruno da, et al.. (2021). Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs. Electronics. 10(21). 2622–2622. 22 indexed citations
14.
Ouadoud, Mohammed & Mohamed Yassin Chkouri. (2021). Modeling and Prototyping New Smart Learning Management Systems. Advances in educational technologies and instructional design book series. 1 indexed citations
15.
Chkouri, Mohamed Yassin, et al.. (2018). Recommendation System Based on Data Analysis-Application on Tweets Sentiment Analysis. 155–160. 6 indexed citations
16.
Ouadoud, Mohammed, et al.. (2018). Designing an IMS-LD Model for Disciplinary Information Space of Learning Management System. 1–9. 6 indexed citations
17.
Ouadoud, Mohammed, et al.. (2017). Exploring a Recommendation System of Free E-learning Platforms: Functional Architecture of the System. International Journal of Emerging Technologies in Learning (iJET). 12(2). 219–219. 16 indexed citations
18.
Asselman, Adel, et al.. (2017). Conception and Evaluation of Internet of Things Connecting to RFID Framework. Transactions on Machine Learning and Artificial Intelligence. 5(4). 1 indexed citations
19.
Ouadoud, Mohammed, et al.. (2016). Studying and comparing the free e-learning platforms. 581–586. 27 indexed citations
20.
Ouadoud, Mohammed, et al.. (2016). Studying and Analyzing the Evaluation Dimensions of E-learning Platforms Relying on a Software Engineering Approach. International Journal of Emerging Technologies in Learning (iJET). 11(1). 11–11. 21 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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