Lorraine Goeuriot

20 papers and 127 indexed citations i.

About

Lorraine Goeuriot is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, Lorraine Goeuriot has authored 20 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Lorraine Goeuriot’s work include Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Lorraine Goeuriot is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Lorraine Goeuriot collaborates with scholars based in France, Ireland and Switzerland. Lorraine Goeuriot's co-authors include Liadh Kelly, Gareth J. F. Jones, Henning Müller, Justin Zobel, Lynda Tamine, José F. Rodrigues, Johannes Leveling, Sihem Amer-Yahia, Thierry Hamon and Thomas Mandl and has published in prestigious journals such as ACM Computing Surveys, Lecture notes in computer science and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Lorraine Goeuriot i

Fields of papers citing papers by Lorraine Goeuriot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorraine Goeuriot

Since Specialization
Citations

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