Mohamed Fezari

21 papers and 114 indexed citations i.

About

Mohamed Fezari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mohamed Fezari has authored 21 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Mohamed Fezari’s work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Phonocardiography and Auscultation Techniques (4 papers). Mohamed Fezari is often cited by papers focused on Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Phonocardiography and Auscultation Techniques (4 papers). Mohamed Fezari collaborates with scholars based in Algeria, Jordan and Saudi Arabia. Mohamed Fezari's co-authors include Ibrahiem M. M. El Emary, Thierry Fraichard and Ahmad AA Alkhatib and has published in prestigious journals such as Multimedia Tools and Applications, Medical Engineering & Physics and Journal of Intelligent & Robotic Systems.

In The Last Decade

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

Fields of papers citing papers by Mohamed Fezari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Fezari

Since Specialization
Citations

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