Jérôme Azé
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Social Psychology top 5%
- Mental Health via Writing
Papers in
-
- Topic Modeling 11
- Natural Language Processing Techniques 9
- Sentiment Analysis and Opinion Mining 9
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- Protein Structure and Dynamics 6
- Co-authors
- Sandra Bringay (33 shared papers)Pascal Poncelet (12 shared papers)Anne Poupon (7 shared papers)Julie Bernauer (4 shared papers)Paul Landais (5 shared papers)Maximilien Servajean (10 shared papers)Thomas Bourquard (4 shared papers)Yves Kodratoff (4 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (2 papers)World Wide Web (2 papers)Bioinformatics (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Jérôme Azé
59 papers receiving 834 citations
Peers
Comparison fields: 5 of 115
- Applied Psychology 121
- Social Psychology 236
- Artificial Intelligence 302
- Clinical Psychology 118
- Experimental and Cognitive Psychology 70
Countries citing papers authored by Jérôme Azé
This map shows the geographic impact of Jérôme Azé'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 Jérôme Azé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Azé more than expected).
Fields of papers citing papers by Jérôme Azé
This network shows the impact of papers produced by Jérôme Azé. 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 Jérôme Azé. The network helps show where Jérôme Azé may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Azé, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 116 | |
| 2 | 2016 | 59 | |
| 3 | 2014 | 56 | |
| 4 | 2019 | 50 | |
| 5 | 2017 | 44 | |
| 6 | 2007 | 43 | |
| 7 | 2015 | 41 | |
| 8 | 2017 | 37 | |
| 9 | 2020 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2011 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2004 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2019 | 13 | |
| 19 | 2017 | 13 | |
| 20 | Evaluation de la résistance au bruit de quelques mesures d'extraction de règles d'association. | 2002 | 12 |
About Jérôme Azé
Jérôme Azé is a scholar working on Artificial Intelligence, Molecular Biology, Social Psychology, Information Systems and Computational Theory and Mathematics, having authored 62 papers that have together received 877 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Mental Health via Writing (11 papers), Natural Language Processing Techniques (9 papers), Sentiment Analysis and Opinion Mining (9 papers), Data Mining Algorithms and Applications (8 papers), Suicide and Self-Harm Studies (7 papers), Protein Structure and Dynamics (6 papers) and Digital Mental Health Interventions (6 papers). The work is most often cited by research in Applied Psychology (121 citations), Social Psychology (236 citations), Artificial Intelligence (302 citations), Clinical Psychology (118 citations) and Experimental and Cognitive Psychology (70 citations). Jérôme Azé has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Sandra Bringay, Pascal Poncelet, Anne Poupon, Julie Bernauer, Paul Landais, Maximilien Servajean, Thomas Bourquard, Yves Kodratoff, J. Janin and Michèle Sébag. Their work appears in journals such as PLoS ONE, Scientific Reports, World Wide Web, Bioinformatics and Frontiers in Psychiatry.
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.