Karima Sedki

27 papers and 177 indexed citations i.

About

Karima Sedki is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Karima Sedki has authored 27 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Karima Sedki’s work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (6 papers) and Logic, Reasoning, and Knowledge (5 papers). Karima Sedki is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (6 papers) and Logic, Reasoning, and Knowledge (5 papers). Karima Sedki collaborates with scholars based in France. Karima Sedki's co-authors include Rosy Tsopra, Jean-Baptiste Lamy, Salem Benferhat, F. Méchaï, S. Cohen, Olivier Bouchaud, Marie‐Christine Jaulent, Guy Fontenelle, Philippe Polet and Karim Tabia and has published in prestigious journals such as Expert Systems with Applications, Journal of Medical Internet Research and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Karima Sedki i

Fields of papers citing papers by Karima Sedki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karima Sedki

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026