Patrick Gallinari

61 papers and 1.1k indexed citations i.

About

Patrick Gallinari is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Patrick Gallinari has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 11 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Patrick Gallinari’s work include Topic Modeling (14 papers), Neural Networks and Applications (11 papers) and Natural Language Processing Techniques (11 papers). Patrick Gallinari is often cited by papers focused on Topic Modeling (14 papers), Neural Networks and Applications (11 papers) and Natural Language Processing Techniques (11 papers). Patrick Gallinari collaborates with scholars based in France, China and United States. Patrick Gallinari's co-authors include Ludovic Denoyer, Yann Guermeur, C. Geourjon, Philippe Leray, Benjamin Piwowarski, Jun Guo, Sylvie Thiria, F. Badran, Sheng Gao and Françoise Fogelman‐Soulié and has published in prestigious journals such as Bioinformatics, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Patrick Gallinari i

Fields of papers citing papers by Patrick Gallinari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patrick Gallinari

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025