Riadh Ksantini

56 papers and 415 indexed citations i.

About

Riadh Ksantini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Riadh Ksantini has authored 56 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Riadh Ksantini’s work include Anomaly Detection Techniques and Applications (12 papers), Face and Expression Recognition (10 papers) and Machine Learning and ELM (7 papers). Riadh Ksantini is often cited by papers focused on Anomaly Detection Techniques and Applications (12 papers), Face and Expression Recognition (10 papers) and Machine Learning and ELM (7 papers). Riadh Ksantini collaborates with scholars based in Canada, Bahrain and Tunisia. Riadh Ksantini's co-authors include Naimul Khan, Boubakeur Boufama, Mohamed Bouguessa, Zied Lachiri, François Dubeau, Ling Guan, Adel Bouhoula, Djemel Ziou, Mohamed Kaâniche and Wael Elmedany and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Remote Sensing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Riadh Ksantini i

Fields of papers citing papers by Riadh Ksantini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riadh Ksantini

Since Specialization
Citations

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