Jérôme Azé
Impact in
- Social Psychology top 5%
- Mental Health via Writing
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
Papers in
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- Data Mining Algorithms and Applications 11
- Expert finding and Q&A systems 6
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- Sentiment Analysis and Opinion Mining 6
- Co-authors
- Sandra Bringay (43 shared papers)Pascal Poncelet B (17 shared papers)Anne Poupon B (8 shared papers)Julie Bernauer (6 shared papers)Paul Landais (7 shared papers)Maximilien Servajean (10 shared papers)Thomas Bourquard (5 shared papers)Joël Janin (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (2 papers)World Wide Web (2 papers)Current Psychiatry Reports (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Jérôme Azé
69 papers receiving 1k citations
Peers
Comparison fields: 5 of 100
- Social Psychology 238
- Artificial Intelligence 210
- Applied Psychology 28
- Health Informatics 12
- Molecular Biology 288
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 123 | |
| 2 | 2018 | 119 | |
| 3 | 2016 | 61 | |
| 4 | 2014 | 56 | |
| 5 | 2019 | 53 | |
| 6 | 2017 | 47 | |
| 7 | 2015 | 45 | |
| 8 | 2007 | 43 | |
| 9 | 2017 | 42 | |
| 10 | 2020 | 29 | |
| 11 | 2014 | 27 | |
| 12 | 2011 | 25 | |
| 13 | 2015 | 25 | |
| 14 | 2019 | 22 | |
| 15 | 2022 | 18 | |
| 16 | 2004 | 17 | |
| 17 | 2021 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2019 | 14 | |
| 20 | 2005 | 13 |
About Jérôme Azé
Jérôme Azé is a scholar working on Information Systems, Artificial Intelligence, Social Psychology, Health Information Management and General Health Professions, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Mental Health via Writing (10 papers), Protein Structure and Dynamics (8 papers), Expert finding and Q&A systems (6 papers), Artificial Intelligence in Healthcare (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Health Literacy and Information Accessibility (6 papers) and Suicide and Self-Harm Studies (5 papers). The work is most often cited by research in Social Psychology (238 citations), Artificial Intelligence (210 citations), Applied Psychology (28 citations), Health Informatics (12 citations) and Molecular Biology (288 citations). Jérôme Azé has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Sandra Bringay, Pascal Poncelet B, Anne Poupon B, Julie Bernauer, Paul Landais, Maximilien Servajean, Thomas Bourquard, Joël Janin, Yves Kodratoff and Michèle Sébag. Their work appears in journals such as PLoS ONE, Scientific Reports, World Wide Web, Current Psychiatry Reports and IEEE Transactions on Knowledge and Data Engineering.
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.