Sahar Ghannay

14 papers and 76 indexed citations i.

About

Sahar Ghannay is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Sahar Ghannay has authored 14 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Signal Processing. Recurrent topics in Sahar Ghannay’s work include Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (5 papers) and Topic Modeling (5 papers). Sahar Ghannay is often cited by papers focused on Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (5 papers) and Topic Modeling (5 papers). Sahar Ghannay collaborates with scholars based in France. Sahar Ghannay's co-authors include Nathalie Camelin, Yannick Estève, Antoine Laurent, Emmanuel Morin, Sophie Rosset, Guillaume Postic, Fariza Tahi, Hervé Bredin, Paul Deléglise and Christophe Servan and has published in prestigious journals such as Bioinformatics, Briefings in Bioinformatics and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Sahar Ghannay i

Fields of papers citing papers by Sahar Ghannay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sahar Ghannay

Since Specialization
Citations

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