Patrick Gallinari

43 papers and 534 indexed citations i.

About

Patrick Gallinari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Patrick Gallinari has authored 43 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Patrick Gallinari’s work include Meteorological Phenomena and Simulations (6 papers), Model Reduction and Neural Networks (5 papers) and Neural Networks and Applications (5 papers). Patrick Gallinari is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Model Reduction and Neural Networks (5 papers) and Neural Networks and Applications (5 papers). Patrick Gallinari collaborates with scholars based in France, Italy and United States. Patrick Gallinari's co-authors include Emmanuel de Bézenac, Arthur Pajot, Françoise Fogelman Soulié, Sanparith Marukatat, Thierry Artières, Yuan Yin, Mohamed Elati, Benjamin Piwowarski, Alejandro Lopez‐Rincon and Ludovic Denoyer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and Fuel.

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.

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