Siham Yousfi

12 papers and 223 indexed citations i.

About

Siham Yousfi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Siham Yousfi has authored 12 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Molecular Biology. Recurrent topics in Siham Yousfi’s work include Topic Modeling (4 papers), Advanced Text Analysis Techniques (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Siham Yousfi is often cited by papers focused on Topic Modeling (4 papers), Advanced Text Analysis Techniques (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Siham Yousfi collaborates with scholars based in Morocco and France. Siham Yousfi's co-authors include Maryem Rhanoui, Mounia Mikram and Nadia Slimani and has published in prestigious journals such as Computers in Biology and Medicine, Journal of King Saud University - Computer and Information Sciences and Journal of Imaging.

In The Last Decade

Co-authorship network of co-authors of Siham Yousfi i

Fields of papers citing papers by Siham Yousfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siham Yousfi

Since Specialization
Citations

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