Nasredine Semmar

20 papers and 83 indexed citations i.

About

Nasredine Semmar is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Nasredine Semmar has authored 20 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Language and Linguistics. Recurrent topics in Nasredine Semmar’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Authorship Attribution and Profiling (4 papers). Nasredine Semmar is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Authorship Attribution and Profiling (4 papers). Nasredine Semmar collaborates with scholars based in France, Sweden and India. Nasredine Semmar's co-authors include Pierre Zweigenbaum, Richard Johansson, Romaric Besançon, Olivier Ferret, Samir Elloumi, Jihad Mohamad Alja’am, Ali Jaoua, Helmi Hammami, Adrian Popescu and Fatiha Sadat and has published in prestigious journals such as Language Resources and Evaluation, Journal of Information Science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Nasredine Semmar i

Fields of papers citing papers by Nasredine Semmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nasredine Semmar

Since Specialization
Citations

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