Mohamed Bahaj

48 papers and 247 indexed citations i.

About

Mohamed Bahaj is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mohamed Bahaj has authored 48 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Mohamed Bahaj’s work include Semantic Web and Ontologies (19 papers), Advanced Database Systems and Queries (19 papers) and QoS-Aware Web Services Composition and Semantic Matching (12 papers). Mohamed Bahaj is often cited by papers focused on Semantic Web and Ontologies (19 papers), Advanced Database Systems and Queries (19 papers) and QoS-Aware Web Services Composition and Semantic Matching (12 papers). Mohamed Bahaj collaborates with scholars based in Morocco, France and Malaysia. Mohamed Bahaj's co-authors include Youness Khourdifi, Noreddine Gherabi, Talal Bonny, Muhammad Raza Naqvi, O. Arino and Larbi Chrifi‐Alaoui and has published in prestigious journals such as Nonlinear Analysis, Journal of King Saud University - Computer and Information Sciences and International Journal of Emerging Technologies in Learning (iJET).

In The Last Decade

Co-authorship network of co-authors of Mohamed Bahaj i

Fields of papers citing papers by Mohamed Bahaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Bahaj

Since Specialization
Citations

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

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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