Farah Benamara

19 papers and 207 indexed citations i.

About

Farah Benamara is a scholar working on Artificial Intelligence, Philosophy and Sociology and Political Science. According to data from OpenAlex, Farah Benamara has authored 19 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Philosophy and 1 paper in Sociology and Political Science. Recurrent topics in Farah Benamara’s work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (6 papers). Farah Benamara is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (6 papers). Farah Benamara collaborates with scholars based in France, Italy and United Kingdom. Farah Benamara's co-authors include Nicholas Asher, Yannick Mathieu, Maite Taboada, Véronique Moriceau, Viviana Patti, Endang Wahyu Pamungkas, Alex Lascarides, Lamia Hadrich Belguith, Diana Inkpen and Manuela Sanguinetti and has published in prestigious journals such as Information Processing & Management, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Farah Benamara i

Fields of papers citing papers by Farah Benamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Farah Benamara

Since Specialization
Citations

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