Arbia Riahi Sfar

5 papers and 309 indexed citations i.

About

Arbia Riahi Sfar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Arbia Riahi Sfar has authored 5 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Arbia Riahi Sfar’s work include IoT and Edge/Fog Computing (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Privacy, Security, and Data Protection (2 papers). Arbia Riahi Sfar is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Privacy, Security, and Data Protection (2 papers). Arbia Riahi Sfar collaborates with scholars based in France, Tunisia and United Arab Emirates. Arbia Riahi Sfar's co-authors include Enrico Natalizio, Yacine Challal, Zied Chtourou, Pascal Moyal and Ye‐Qiong Song and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Internet of Things and Journal of Information Security and Applications.

In The Last Decade

Co-authorship network of co-authors of Arbia Riahi Sfar i

Fields of papers citing papers by Arbia Riahi Sfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arbia Riahi Sfar. 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 Arbia Riahi Sfar. The network helps show where Arbia Riahi Sfar may publish in the future.

Countries citing papers authored by Arbia Riahi Sfar

Since Specialization
Citations

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