Mohamed Ben Ammar

42 papers and 343 indexed citations i.

About

Mohamed Ben Ammar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mohamed Ben Ammar has authored 42 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mohamed Ben Ammar’s work include Emotion and Mood Recognition (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Mohamed Ben Ammar is often cited by papers focused on Emotion and Mood Recognition (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). Mohamed Ben Ammar collaborates with scholars based in France, Tunisia and Saudi Arabia. Mohamed Ben Ammar's co-authors include Adel M. Alimi, Mahmoud Néji, Guy Gouardères, Zied Kechaou, F. Cornélis, Sandrine Lefeuvre, Eliane M. Billaud, Matthias Barral, C. Amrein and V. Boussaud and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Biomass and Bioenergy.

In The Last Decade

Co-authorship network of co-authors of Mohamed Ben Ammar i

Fields of papers citing papers by Mohamed Ben Ammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Ben Ammar

Since Specialization
Citations

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