Faı̈ez Gargouri

119 papers and 545 indexed citations i.

About

Faı̈ez Gargouri is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Faı̈ez Gargouri has authored 119 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 46 papers in Information Systems and 34 papers in Computer Networks and Communications. Recurrent topics in Faı̈ez Gargouri’s work include Semantic Web and Ontologies (39 papers), QoS-Aware Web Services Composition and Semantic Matching (30 papers) and Business Process Modeling and Analysis (22 papers). Faı̈ez Gargouri is often cited by papers focused on Semantic Web and Ontologies (39 papers), QoS-Aware Web Services Composition and Semantic Matching (30 papers) and Business Process Modeling and Analysis (22 papers). Faı̈ez Gargouri collaborates with scholars based in Tunisia, France and India. Faı̈ez Gargouri's co-authors include Mohamed Mhiri, Yassine Ben Ayed, Afif Masmoudi, Ahmed Rebaï, Inès Saad, Gilles Kassel, Bassem Bouaziz, Mohamed Frikha, Fayçal Hamdi and Olivier Teste and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Faı̈ez Gargouri i

Fields of papers citing papers by Faı̈ez Gargouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Faı̈ez Gargouri

Since Specialization
Citations

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