Patrick Gallinari
Impact in
- Computational Mathematics top 10%
- Health Informatics top 10%
Papers in
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- Neural Networks and Applications 9
- Speech Recognition and Synthesis 6
- Natural Language Processing Techniques 3
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- Handwritten Text Recognition Techniques 5
- Image Processing and 3D Reconstruction 3
- Co-authors
- Emmanuel de Bézenac (4 shared papers)Arthur Pajot (3 shared papers)Françoise Fogelman Soulié (3 shared papers)Thierry Artières (1 shared paper)Sanparith Marukatat (1 shared paper)Yuan Yin (4 shared papers)Nicolas Thome (1 shared paper)Abdelhamid Mellouk (4 shared papers)
In The Last Decade
Patrick Gallinari
43 papers receiving 643 citations
Peers
Comparison fields: 5 of 107
- Computational Mathematics 10
- Health Informatics 16
- Artificial Intelligence 274
- Statistical and Nonlinear Physics 104
- Computer Vision and Pattern Recognition 159
Countries citing papers authored by Patrick Gallinari
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).
Fields of papers citing papers by Patrick Gallinari
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.
Co-authors
The 25 scholars most cited alongside Patrick Gallinari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2021 | 67 | |
| 3 | 2007 | 48 | |
| 4 | 1998 | 46 | |
| 5 | 2018 | 44 | |
| 6 | 2003 | 40 | |
| 7 | 2012 | 33 | |
| 8 | 2005 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2012 | 18 | |
| 11 | 2016 | 13 | |
| 12 | 2011 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 1993 | 11 | |
| 16 | 1990 | 11 | |
| 17 | 2002 | 11 | |
| 18 | 2012 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 7 |
About Patrick Gallinari
Patrick Gallinari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Signal Processing and Atmospheric Science, having authored 44 papers that have together received 677 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Meteorological Phenomena and Simulations (6 papers), Speech Recognition and Synthesis (6 papers), Handwritten Text Recognition Techniques (5 papers), Model Reduction and Neural Networks (5 papers), Blind Source Separation Techniques (3 papers), Natural Language Processing Techniques (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Health Informatics (16 citations), Artificial Intelligence (274 citations), Statistical and Nonlinear Physics (104 citations) and Computer Vision and Pattern Recognition (159 citations). Patrick Gallinari has collaborated with scholars based in France, Italy and China. Frequent co-authors include Emmanuel de Bézenac, Arthur Pajot, Françoise Fogelman Soulié, Thierry Artières, Sanparith Marukatat, Yuan Yin, Nicolas Thome, Abdelhamid Mellouk, Ludovic Denoyer and Benjamin Piwowarski. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Knowledge and Information Systems, Journal of Advances in Modeling Earth Systems, Machine Learning and Fuel.
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.