Mohamed Lazaar

36 papers and 437 indexed citations i.

About

Mohamed Lazaar is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mohamed Lazaar has authored 36 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Mohamed Lazaar’s work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Mohamed Lazaar is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Mohamed Lazaar collaborates with scholars based in Morocco and Canada. Mohamed Lazaar's co-authors include Kamal Eddine El Kadiri, Mohammed Al Achhab, Mohamed Khaldi, Oussama Mahboub, Mohamed Ettaouil, Karim El Moutaouakil, Rachid Saadane, Abdellah Chehri, Osama S. Faragallah and Hamid Allaoui and has published in prestigious journals such as Knowledge-Based Systems, Engineering Applications of Artificial Intelligence and Simulation Modelling Practice and Theory.

In The Last Decade

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

Fields of papers citing papers by Mohamed Lazaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Lazaar

Since Specialization
Citations

This map shows the geographic impact of Mohamed Lazaar'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 Lazaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Lazaar 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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2025