Patrick Gallinari
Impact in
- Computational Mathematics top 10%
- Health Informatics top 10%
Papers in
-
- Neural Networks and Applications 9
- Speech Recognition and Synthesis 7
- Natural Language Processing Techniques 5
- Imbalanced Data Classification Techniques 4
-
- Handwritten Text Recognition Techniques 6
- Co-authors
- Emmanuel de Bézenac (5 shared papers)Arthur Pajot (4 shared papers)Françoise Fogelman Soulié (3 shared papers)Thierry Artières (3 shared papers)Sanparith Marukatat (1 shared paper)Yuan Yin (4 shared papers)Abdelhamid Mellouk (4 shared papers)Nicolas Thome (1 shared paper)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (2 papers)Machine Learning (2 papers)Journal of Advances in Modeling Earth Systems (2 papers)Knowledge and Information Systems (2 papers)Applied Energy (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Patrick Gallinari
49 papers receiving 698 citations
Peers
Comparison fields: 5 of 112
- Computational Mathematics 10
- Health Informatics 15
- Artificial Intelligence 331
- Computer Vision and Pattern Recognition 178
- Statistical and Nonlinear Physics 103
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 150 | |
| 2 | 2021 | 59 | |
| 3 | 2007 | 48 | |
| 4 | 1998 | 46 | |
| 5 | 2018 | 44 | |
| 6 | BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. | 2012 | 43 |
| 7 | 2003 | 40 | |
| 8 | 2012 | 33 | |
| 9 | 2005 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2012 | 18 | |
| 12 | Generalization error bounds for classifiers trained with interdependent data | 2005 | 14 |
| 13 | Unsupervised Adversarial Image Reconstruction | 2018 | 13 |
| 14 | 2016 | 13 | |
| 15 | 2011 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2002 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 1993 | 11 | |
| 20 | 1990 | 11 |
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 50 papers that have together received 745 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Speech Recognition and Synthesis (7 papers), Meteorological Phenomena and Simulations (6 papers), Handwritten Text Recognition Techniques (6 papers), Natural Language Processing Techniques (5 papers), Model Reduction and Neural Networks (5 papers), Imbalanced Data Classification Techniques (4 papers) and Climate variability and models (4 papers). The work is most often cited by research in Computational Mathematics (10 citations), Health Informatics (15 citations), Artificial Intelligence (331 citations), Computer Vision and Pattern Recognition (178 citations) and Statistical and Nonlinear Physics (103 citations). Patrick Gallinari has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Emmanuel de Bézenac, Arthur Pajot, Françoise Fogelman Soulié, Thierry Artières, Sanparith Marukatat, Yuan Yin, Abdelhamid Mellouk, Nicolas Thome, Ludovic Denoyer and Alexandre Stegner. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Machine Learning, Journal of Advances in Modeling Earth Systems, Knowledge and Information Systems and Applied Energy.
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.