Catherine Oriat

5 papers and 20 indexed citations i.

About

Catherine Oriat is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Catherine Oriat has authored 5 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Software and 1 paper in Computational Theory and Mathematics. Recurrent topics in Catherine Oriat’s work include Software Testing and Debugging Techniques (3 papers), Advanced Software Engineering Methodologies (2 papers) and Machine Learning and Algorithms (2 papers). Catherine Oriat is often cited by papers focused on Software Testing and Debugging Techniques (3 papers), Advanced Software Engineering Methodologies (2 papers) and Machine Learning and Algorithms (2 papers). Catherine Oriat collaborates with scholars based in France, Canada and Brazil. Catherine Oriat's co-authors include Roland Groz, Lydie du Bousquet, Yves Ledru, Olivier Maury, Jean‐Louis Lanet, Alexandre Petrenko and Adenilso Simão and has published in prestigious journals such as Theoretical Computer Science, Journal of Systems and Software and Journal of Automated Reasoning.

In The Last Decade

Co-authorship network of co-authors of Catherine Oriat i

Fields of papers citing papers by Catherine Oriat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Catherine Oriat

Since Specialization
Citations

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