Rose Dieng

14 papers and 210 indexed citations i.

About

Rose Dieng is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Rose Dieng has authored 14 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Rose Dieng’s work include Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Rose Dieng is often cited by papers focused on Semantic Web and Ontologies (10 papers), AI-based Problem Solving and Planning (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Rose Dieng collaborates with scholars based in France, Italy and Germany. Rose Dieng's co-authors include Olivier Corby, Alain Giboin, Myriam Ribière, H. Müller, Laurence Alpay, Laurent Karsenty, Roberto Sacile and C. Ruggiero and has published in prestigious journals such as International Journal of Human-Computer Studies, Lecture notes in computer science and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Rose Dieng i

Fields of papers citing papers by Rose Dieng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rose Dieng

Since Specialization
Citations

This map shows the geographic impact of Rose Dieng'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 Rose Dieng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rose Dieng 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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2025