Sabeur Aridhi

26 papers and 633 indexed citations i.

About

Sabeur Aridhi is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Molecular Biology. According to data from OpenAlex, Sabeur Aridhi has authored 26 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Sabeur Aridhi’s work include Graph Theory and Algorithms (7 papers), Cloud Computing and Resource Management (6 papers) and Machine Learning in Bioinformatics (5 papers). Sabeur Aridhi is often cited by papers focused on Graph Theory and Algorithms (7 papers), Cloud Computing and Resource Management (6 papers) and Machine Learning in Bioinformatics (5 papers). Sabeur Aridhi collaborates with scholars based in France, Austria and Saudi Arabia. Sabeur Aridhi's co-authors include Malika Smaïl‐Tabbone, Engelbert Mephu Nguifo, Marie‐Dominique Devignes, Silvio Danese, Laure Fournier, William J. Sandborn, Laurent Peyrin‐Biroulet, Catherine Le Berre, Wajdi Dhifli and Hassina Seridi and has published in prestigious journals such as Gastroenterology, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Sabeur Aridhi i

Fields of papers citing papers by Sabeur Aridhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sabeur Aridhi

Since Specialization
Citations

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