Mohammed Qbadou

799 total citations
102 papers, 433 citations indexed

About

Mohammed Qbadou is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Mohammed Qbadou has authored 102 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 25 papers in Management Information Systems and 23 papers in Information Systems. Recurrent topics in Mohammed Qbadou's work include Big Data and Business Intelligence (15 papers), Information Technology Governance and Strategy (15 papers) and Online Learning and Analytics (13 papers). Mohammed Qbadou is often cited by papers focused on Big Data and Business Intelligence (15 papers), Information Technology Governance and Strategy (15 papers) and Online Learning and Analytics (13 papers). Mohammed Qbadou collaborates with scholars based in Morocco, Greece and Malaysia. Mohammed Qbadou's co-authors include Khalifa Mansouri, Mohamed Youssfi, Omar Bouattane, Mustapha Riad, Bachir Benhala, Abdelhadi Raihani, Vassilis G. Kaburlasos, Chris Lytridis, George A. Papakostas and Cecilia Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Today Proceedings and Journal of Information Technology Education Research.

In The Last Decade

Mohammed Qbadou

85 papers receiving 408 citations

Peers

Mohammed Qbadou

MIS

Nico Herzberg Germany

Souleiman Hasan Ireland

Stephan Haarmann Germany

Johannes Manner Germany

H. M. N. Dilum Bandara Sri Lanka

Ala Abdulsalam Alarood Saudi Arabia

Amit Kumar Mishra India

Ho-Nien Hsieh Taiwan

Leonardo Garrido Mexico

Szu‐Yin Lin Taiwan

Nico Herzberg Germany

Mohammed Qbadou

171 ×1.5

157 ×1.8

71 ×0.8

MIS

12 ×0.3

14 ×0.4

Citations per year, relative to Mohammed Qbadou Mohammed Qbadou (= 1×) peers Nico Herzberg

Countries citing papers authored by Mohammed Qbadou

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Qbadou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Qbadou

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

All Works

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20 of 20 papers shown

Mansouri, Khalifa, et al.. (2024). Hybrid Approach for Minimizing Departure Air Traffic Delays Following Standard Instrument Departures. Statistics Optimization & Information Computing. 13(1). 273–285.

Riad, Mustapha, et al.. (2024). Learner’s attention detection in connected smart classroom using internet of things and convolutional neural networks. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(3). 3455–3455. 1 indexed citations

Mansouri, Khalifa, et al.. (2024). An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures. International Journal of Advanced Computer Science and Applications. 15(3). 1 indexed citations

Benhala, Bachir, Abdelhadi Raihani, Khalifa Mansouri, & Mohammed Qbadou. (2023). 2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology. 1–1. 14 indexed citations

Qbadou, Mohammed, et al.. (2023). A New Knowledge Primitive of Digits Recognition for NAO Robot Using MNIST Dataset and CNN Algorithm for Children’s Visual Learning Enhancement. Journal of Information Technology Education Research. 22. 389–408. 2 indexed citations

Riad, Mustapha, et al.. (2023). Towards an Adaptive e-Learning System Based on Deep Learner Profile, Machine Learning Approach, and Reinforcement Learning. International Journal of Advanced Computer Science and Applications. 14(5). 5 indexed citations

Mansouri, Khalifa, et al.. (2023). Towards strengthening the efficiency of the Air Traffic Departure Manager DMAN using a Genetic Algorithm. 1–6.

Riad, Mustapha, et al.. (2023). Towards A New Adaptive E-learning System Based On Learner's Motivation And Machine Learning. 1–6. 2 indexed citations

Riad, Mustapha, et al.. (2023). The new e-learning adaptation technique based on learner’s learning style and motivation. Journal of Education and Learning (EduLearn). 17(3). 472–482. 5 indexed citations

10.

Riad, Mustapha, et al.. (2023). Dysgraphia detection based on convolutional neural networks and child-robot interaction. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(3). 2999–2999. 5 indexed citations

11.

Qbadou, Mohammed, et al.. (2022). Towards Robot-Assisted Therapy for Children With Autism—The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms. Frontiers in Robotics and AI. 9. 713964–713964. 15 indexed citations

12.

Qbadou, Mohammed, et al.. (2021). Design of an Adaptive e-Learning System based on Multi-Agent Approach and Reinforcement Learning. SHILAP Revista de lepidopterología. 11(1). 6637–6644. 23 indexed citations

13.

Mansouri, Khalifa, et al.. (2021). Elaboration of Psychological Ontology that Integrates the Problem of Human Frailty in COVID-19 Context. International journal of intelligent engineering and systems. 14(3). 388–402. 3 indexed citations

14.

Qbadou, Mohammed, et al.. (2020). Student learning communities’ detection based on betweenness centrality algorithm: Validation and Optimization. 16. 1–5.

15.

Mansouri, Khalifa, et al.. (2020). Interoperability of Hospital Information Systems through the modeling of the Web Service "Request for medical care". 1–6. 2 indexed citations

16.

Mansouri, Khalifa, et al.. (2019). Formal Concept Analysis based Framework for Evaluating Information System Success. International Journal of Advanced Computer Science and Applications. 10(4). 1 indexed citations

17.

Mansouri, Khalifa, et al.. (2018). A New Pattern for the Deployment of IT Governance Frameworks in Organizations. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 7(4). 3459–3465. 1 indexed citations

18.

Mansouri, Khalifa, et al.. (2017). Towards a decision support system, based on the systemic and multi-agent approaches for organizational performance evaluation of a risk management unit: Banks case. 10. 1–8. 2 indexed citations

19.

Mansouri, Khalifa, et al.. (2017). Representing IT Projects Risk Management Best Practices as a Metamodel. SHILAP Revista de lepidopterología. 7(5). 2062–2067. 14 indexed citations

20.

Chougdali, Khalid, et al.. (2016). New air traffic management approach based on expert system and using real-time scheduling algorithms. International Journal of Intelligent Engineering Informatics. 4(3/4). 305–305.

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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