Lina F. Soualmia

55 papers and 284 indexed citations i.

About

Lina F. Soualmia is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Lina F. Soualmia has authored 55 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 33 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Lina F. Soualmia’s work include Biomedical Text Mining and Ontologies (40 papers), Semantic Web and Ontologies (18 papers) and Natural Language Processing Techniques (17 papers). Lina F. Soualmia is often cited by papers focused on Biomedical Text Mining and Ontologies (40 papers), Semantic Web and Ontologies (18 papers) and Natural Language Processing Techniques (17 papers). Lina F. Soualmia collaborates with scholars based in France, United States and Tunisia. Lina F. Soualmia's co-authors include Stéfan Darmoni, Benoı̂t Thirion, Badisse Dahamna, Julien Grosjean, Thierry Lecroq, Nicolas Griffon, Aurélie Névéol, Alexandrina Rogozan, Jean-Baptiste Lamy and Marie‐Christine Jaulent and has published in prestigious journals such as BMC Bioinformatics, Journal of Medical Internet Research and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Lina F. Soualmia i

Fields of papers citing papers by Lina F. Soualmia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lina F. Soualmia. 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 Lina F. Soualmia. The network helps show where Lina F. Soualmia may publish in the future.

Countries citing papers authored by Lina F. Soualmia

Since Specialization
Citations

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