Salma Jamoussi

34 papers and 177 indexed citations i.

About

Salma Jamoussi is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Salma Jamoussi has authored 34 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Salma Jamoussi’s work include Natural Language Processing Techniques (9 papers), Text and Document Classification Technologies (7 papers) and Topic Modeling (6 papers). Salma Jamoussi is often cited by papers focused on Natural Language Processing Techniques (9 papers), Text and Document Classification Technologies (7 papers) and Topic Modeling (6 papers). Salma Jamoussi collaborates with scholars based in Tunisia, Saudi Arabia and France. Salma Jamoussi's co-authors include Abdelmajid Ben Hamadou, Ikram Amous, Walid Mahdi, Corinne Amel Zayani, Kamel Smaı̈li, Peter Borovanský, Christophe Ringeissen, Pierre‐Etienne Moreau, Jean-Paul Haton and David Langlois and has published in prestigious journals such as Neurocomputing, Future Generation Computer Systems and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Salma Jamoussi i

Fields of papers citing papers by Salma Jamoussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salma Jamoussi

Since Specialization
Citations

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