Salma Mouline

20 papers and 212 indexed citations i.

About

Salma Mouline is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salma Mouline has authored 20 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salma Mouline’s work include Recommender Systems and Techniques (7 papers), Business Process Modeling and Analysis (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Salma Mouline is often cited by papers focused on Recommender Systems and Techniques (7 papers), Business Process Modeling and Analysis (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Salma Mouline collaborates with scholars based in Morocco. Salma Mouline's co-authors include Ayoub Ait Lahcen and Ahmed Oussous and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Computer Networks.

In The Last Decade

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

Fields of papers citing papers by Salma Mouline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salma Mouline

Since Specialization
Citations

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