Mohamed Lachgar

31 papers and 232 indexed citations i.

About

Mohamed Lachgar is a scholar working on Artificial Intelligence, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohamed Lachgar has authored 31 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Plant Science and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohamed Lachgar’s work include Smart Agriculture and AI (5 papers), Corneal surgery and disorders (4 papers) and Ocular Surface and Contact Lens (3 papers). Mohamed Lachgar is often cited by papers focused on Smart Agriculture and AI (5 papers), Corneal surgery and disorders (4 papers) and Ocular Surface and Contact Lens (3 papers). Mohamed Lachgar collaborates with scholars based in Morocco, South Korea and France. Mohamed Lachgar's co-authors include Ali Kartit, A. Rochdi, D. Goujdami, Larbi El Firdoussi, Hind Kabaili, Mohamed Hanine, Omar Boutkhoum, Furqan Rustam, J. RIGAUDY and Imran Ashraf and has published in prestigious journals such as IEEE Access, Tetrahedron Letters and Journal of Photochemistry and Photobiology A Chemistry.

In The Last Decade

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

Fields of papers citing papers by Mohamed Lachgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Lachgar

Since Specialization
Citations

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