Lahcen Oughdir
About
Lahcen Oughdir is a scholar working on Computer Science Applications, Information Systems and Developmental and Educational Psychology.
According to data from OpenAlex, Lahcen Oughdir has authored 16 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 8 papers in Information Systems and 7 papers in Developmental and Educational Psychology. Recurrent topics in Lahcen Oughdir's work include Online Learning and Analytics (7 papers), Learning Styles and Cognitive Differences (6 papers) and Educational Technology and Assessment (3 papers). Lahcen Oughdir is often cited by papers focused on Online Learning and Analytics (7 papers), Learning Styles and Cognitive Differences (6 papers) and Educational Technology and Assessment (3 papers). Lahcen Oughdir collaborates with scholars based in Morocco. Lahcen Oughdir's co-authors include and has published in prestigious journals such as Education and Information Technologies, Journal Of Big Data and Arabian Journal for Science and Engineering.
In The Last Decade
Lahcen Oughdir
14 papers receiving 245 citations
Peers
Lahcen Oughdir
Abdul Wahid India
Adidah Lajis Malaysia
Filippos Giannakas Greece
Jamie L. Godwin United Kingdom
Andy Laws United Kingdom
Sébastien Combéfis Belgium
Keunjae Kim United States
Geng Sun Australia
Pedro Henrique Dias Valle Brazil
Danijela Milošević Serbia
Citations per year, relative to Lahcen Oughdir Lahcen Oughdir (= 1×)
peers
Abdul Wahid
Countries citing papers authored by Lahcen Oughdir
Since
Specialization
Citations
This map shows the geographic impact of Lahcen Oughdir'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 Lahcen Oughdir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lahcen Oughdir more than expected).
Fields of papers citing papers by Lahcen Oughdir
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Lahcen Oughdir. 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 Lahcen Oughdir. The network helps show where Lahcen Oughdir may publish in the future.
No nodes
All Works
1.
Oughdir, Lahcen, et al.. (2024). Geometry-Inference Based Clustering Heuristic: New k-means Metric for Gaussian Data and Experimental Proof of Concept. Operations Research Forum. 5(1).
2.
Oughdir, Lahcen, et al.. (2024). Automatic detection of safety requests in web and mobile applications using natural language processing techniques. IAES International Journal of Artificial Intelligence. 13(3). 3489–3489.
3.
Oughdir, Lahcen, et al.. (2024). Developing a Collaborative Learning Environment For ITS: A New Model Based on IMS-Learning Design. Statistics Optimization & Information Computing. 13(3). 1233–1244.
4.
Oughdir, Lahcen, et al.. (2023). Exploring the benefits of e-learning for life and earth sciences education in Moroccan high schools. Journal of Education and e-Learning Research. 10(3). 474–480.
5.
Oughdir, Lahcen, et al.. (2023). Understanding the Interplay Between Metrics, Normalization Forms, and Data distribution in K-Means Clustering: A Comparative Simulation Study. Arabian Journal for Science and Engineering. 49(3). 2987–3007.
6.
Oughdir, Lahcen, et al.. (2022). WHAT POSITION DOES EXPERIMENTATION HOLD IN ENVIRONMENTAL EDUCATION AND SUSTAINABLE DEVELOPMENT IN PRIMARY SCHOOLS IN MOROCCO?. Journal of Southwest Jiaotong University. 57(6). 1182–1189.
7.
Oughdir, Lahcen, et al.. (2022). A Literature Review on Student Modeling Purposes. Advances in intelligent systems and computing. 758–784.
8.
Oughdir, Lahcen, et al.. (2020). Toward a hybrid machine learning approach for extracting and clustering learners' behaviours in adaptive educational system. International Journal of Computing Science and Mathematics. 12(2). 117–117.
9.
Oughdir, Lahcen, et al.. (2020). Toward a hybrid machine learning approach for extracting and clustering learners' behaviours in adaptive educational system. International Journal of Computing Science and Mathematics. 12(2). 117–117.
10.
Oughdir, Lahcen, et al.. (2020). A learning style-based Ontology Matching to enhance learning resources recommendation. 1–7.
11.
Oughdir, Lahcen, et al.. (2019). Large-scale e-learning recommender system based on Spark and Hadoop. Journal Of Big Data. 6(1).
12.
Oughdir, Lahcen, et al.. (2019). Combining supervised and unsupervised machine learning algorithms to predict the learners’ learning styles. Procedia Computer Science. 148. 87–96.
13.
Oughdir, Lahcen, et al.. (2018). Integrating web usage mining for an automatic learner profile detection: A learning styles-based approach. 1–6.
14.
Oughdir, Lahcen, et al.. (2018). Smart Courses Recommender System for Online Learning Platform. 328–333.
15.
Oughdir, Lahcen, et al.. (2018). A fuzzy classification approach for learning style prediction based on web mining technique in e-learning environments. Education and Information Technologies. 24(3). 1943–1959.
16.
Oughdir, Lahcen, et al.. (2017). Modeling and Implementing Ontology for Managing Learners’ Profiles. International Journal of Advanced Computer Science and Applications. 8(8).
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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