Karen Pinel-Sauvagnat

18 papers and 67 indexed citations i.

About

Karen Pinel-Sauvagnat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Karen Pinel-Sauvagnat has authored 18 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Karen Pinel-Sauvagnat’s work include Topic Modeling (9 papers), Information Retrieval and Search Behavior (5 papers) and Image Retrieval and Classification Techniques (5 papers). Karen Pinel-Sauvagnat is often cited by papers focused on Topic Modeling (9 papers), Information Retrieval and Search Behavior (5 papers) and Image Retrieval and Classification Techniques (5 papers). Karen Pinel-Sauvagnat collaborates with scholars based in France, Italy and The Netherlands. Karen Pinel-Sauvagnat's co-authors include Mohand Boughanem, Gilles Hubert, Claude Chrisment, Hamamache Kheddouci, Ning Lei, Nicola Ferro, Guillaume Cabanac, Laure Soulier, Lynda Tamine and Gareth J. F. Jones and has published in prestigious journals such as ACM Computing Surveys, Information Processing & Management and Computer Science Review.

In The Last Decade

Co-authorship network of co-authors of Karen Pinel-Sauvagnat i

Fields of papers citing papers by Karen Pinel-Sauvagnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Pinel-Sauvagnat. 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 Karen Pinel-Sauvagnat. The network helps show where Karen Pinel-Sauvagnat may publish in the future.

Countries citing papers authored by Karen Pinel-Sauvagnat

Since Specialization
Citations

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