Jérôme Azé

1.4k total citations
49 papers, 652 citations indexed

About

Jérôme Azé is a scholar working on Artificial Intelligence, Molecular Biology and Social Psychology. According to data from OpenAlex, Jérôme Azé has authored 49 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Molecular Biology and 8 papers in Social Psychology. Recurrent topics in Jérôme Azé's work include Topic Modeling (8 papers), Mental Health via Writing (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jérôme Azé is often cited by papers focused on Topic Modeling (8 papers), Mental Health via Writing (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jérôme Azé collaborates with scholars based in France, Spain and Chile. Jérôme Azé's co-authors include Sandra Bringay, Julie Bernauer, Anne Poupon, Pascal Poncelet, Paul Landais, Maximilien Servajean, Thomas Bourquard, J. Janin, Christine Froidevaux and Enrique Baca‐García and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Jérôme Azé

46 papers receiving 625 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jérôme Azé France 15 175 167 164 109 103 49 652
Michal Kouril United States 13 79 0.5× 203 1.2× 81 0.5× 40 0.4× 49 0.5× 24 737
Jing Mei China 10 200 1.1× 62 0.4× 103 0.6× 54 0.5× 28 0.3× 58 434
Paweł Matykiewicz United States 12 507 2.9× 183 1.1× 288 1.8× 85 0.8× 165 1.6× 18 820
Wanhong Zheng United States 15 53 0.3× 64 0.4× 56 0.3× 50 0.5× 138 1.3× 37 617
Christopher M. Homan United States 13 205 1.2× 17 0.1× 162 1.0× 53 0.5× 91 0.9× 48 611
Stephen Wan Australia 14 626 3.6× 39 0.2× 274 1.7× 129 1.2× 108 1.0× 61 917
Maksim Belousov United Kingdom 5 74 0.4× 39 0.2× 88 0.5× 64 0.6× 39 0.4× 11 283
Ruoyan Sun United States 14 51 0.3× 67 0.4× 35 0.2× 32 0.3× 86 0.8× 40 846
Ugur Kursuncu United States 8 191 1.1× 18 0.1× 172 1.0× 87 0.8× 61 0.6× 16 362
Timothy B. Patrick United States 14 116 0.7× 118 0.7× 36 0.2× 22 0.2× 28 0.3× 72 627

Countries citing papers authored by Jérôme Azé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jérôme Azé

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Azé. A scholar is included among the top collaborators of Jérôme Azé based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Azé. Jérôme Azé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Khier, Sonia, David Fabre, Jérôme Azé, et al.. (2025). Covariate Model Selection Approaches for Population Pharmacokinetics: A Systematic Review of Existing Methods, From SCM to AI. CPT Pharmacometrics & Systems Pharmacology. 14(4). 621–639. 1 indexed citations
2.
Quellec, Gwenolé, Sofian Berrouiguet, Margot Morgiève, et al.. (2024). Predicting suicidal ideation from irregular and incomplete time series of questionnaires in a smartphone-based suicide prevention platform: a pilot study. Scientific Reports. 14(1). 20870–20870. 1 indexed citations
3.
Azé, Jérôme, et al.. (2023). Explaining controversy through community analysis on Twitter. HAL (Le Centre pour la Communication Scientifique Directe). 148–155.
4.
Azé, Jérôme, et al.. (2022). EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries. IEEE Transactions on Visualization and Computer Graphics. 29(10). 4154–4171. 8 indexed citations
5.
Morgiève, Margot, C. Genty, Jonathan Dubois, et al.. (2022). Acceptability and satisfaction with emma, a smartphone application dedicated to suicide ecological assessment and prevention. Frontiers in Psychiatry. 13. 952865–952865. 7 indexed citations
6.
Azé, Jérôme, et al.. (2021). Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome. Journal of Healthcare Engineering. 2021. 1–12. 10 indexed citations
7.
Morgiève, Margot, C. Genty, Jérôme Azé, et al.. (2020). A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study. JMIR mhealth and uhealth. 8(10). e15741–e15741. 25 indexed citations
8.
Azé, Jérôme, et al.. (2019). Unveiling Online Suicide Behavior: What Can We Learn About Mental Health from Suicide Survivors of Reddit?. Studies in health technology and informatics. 264. 50–54. 12 indexed citations
9.
Azé, Jérôme, et al.. (2019). Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media.. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
10.
11.
Azé, Jérôme, et al.. (2017). Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign. Journal of Medical Internet Research. 19(10). e344–e344. 41 indexed citations
12.
Azé, Jérôme, et al.. (2017). Patient healthcare trajectory. An essential monitoring tool: a systematic review. Health Information Science and Systems. 5(1). 1–1. 32 indexed citations
13.
Azé, Jérôme, Christophe Sola, Jian Zhang, et al.. (2015). Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm. PLoS ONE. 10(7). e0130912–e0130912. 22 indexed citations
14.
Bourquard, Thomas, Flavie Landomiel, Éric Reiter, et al.. (2015). Unraveling the molecular architecture of a G protein-coupled receptor/β-arrestin/Erk module complex. Scientific Reports. 5(1). 10760–10760. 38 indexed citations
15.
Azé, Jérôme, et al.. (2014). Analysis of Forum Posts Written by Patients and Health Professionals. HAL (Le Centre pour la Communication Scientifique Directe). 1185–1185.
16.
Vienne, Damien M. de & Jérôme Azé. (2012). Efficient Prediction of Co-Complexed Proteins Based on Coevolution. PLoS ONE. 7(11). e48728–e48728. 6 indexed citations
17.
Bourquard, Thomas, Julie Bernauer, Jérôme Azé, & Anne Poupon. (2011). A Collaborative Filtering Approach for Protein-Protein Docking Scoring Functions. PLoS ONE. 6(4). e18541–e18541. 24 indexed citations
18.
Azé, Jérôme, Claire Toffano‐Nioche, Valentin Loux, et al.. (2008). Towards a semi-automatic functional annotation tool based on decision-tree techniques. BMC Proceedings. 2(S4). S3–S3. 3 indexed citations
19.
Bernauer, Julie, Jérôme Azé, J. Janin, & Anne Poupon. (2007). A new protein–protein docking scoring function based on interface residue properties. Bioinformatics. 23(5). 555–562. 41 indexed citations
20.
Azé, Jérôme, et al.. (2004). From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments.. Text REtrieval Conference. 6 indexed citations

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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