Cécile Paris

127 papers and 2.3k indexed citations i.

About

Cécile Paris is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Cécile Paris has authored 127 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 30 papers in Information Systems and 22 papers in Sociology and Political Science. Recurrent topics in Cécile Paris’s work include Topic Modeling (26 papers), Natural Language Processing Techniques (22 papers) and Complex Network Analysis Techniques (15 papers). Cécile Paris is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (22 papers) and Complex Network Analysis Techniques (15 papers). Cécile Paris collaborates with scholars based in Australia, United States and United Kingdom. Cécile Paris's co-authors include ‪Surya Nepal‬, Wanita Sherchan, Johanna D. Moore, Nathalie Colineau, Sarvnaz Karimi, Philip J. Batterham, Bridianne O’Dea, Helen Christensen, Stephen Wan and Alison L. Calear and has published in prestigious journals such as PLoS ONE, Scientific Reports and BioScience.

In The Last Decade

Co-authorship network of co-authors of Cécile Paris i

Fields of papers citing papers by Cécile Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cécile Paris

Since Specialization
Citations

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