Manon Ansart

409 total citations
10 papers, 196 citations indexed

About

Manon Ansart is a scholar working on Psychiatry and Mental health, Physiology and General Health Professions. According to data from OpenAlex, Manon Ansart has authored 10 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Psychiatry and Mental health, 3 papers in Physiology and 2 papers in General Health Professions. Recurrent topics in Manon Ansart's work include Dementia and Cognitive Impairment Research (5 papers), Alzheimer's disease research and treatments (3 papers) and Machine Learning in Healthcare (2 papers). Manon Ansart is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Alzheimer's disease research and treatments (3 papers) and Machine Learning in Healthcare (2 papers). Manon Ansart collaborates with scholars based in France, Australia and Italy. Manon Ansart's co-authors include Stanley Durrleman, Stéphane Epelbaum, Didier Dormont, Olivier Colliot, Baptiste Couvy‐Duchesne, Elina Thibeau–Sutre, Ninon Burgos, Johann Faouzi, Carole Dufouil and Timothy Daly and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Neurobiology of Aging.

In The Last Decade

Manon Ansart

9 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manon Ansart France 6 75 48 47 43 37 10 196
Prajakta Joshi United States 7 67 0.9× 27 0.6× 44 0.9× 46 1.1× 39 1.1× 22 205
Razvan Marinescu United Kingdom 7 84 1.1× 49 1.0× 39 0.8× 44 1.0× 16 0.4× 18 197
Igor Koval France 5 86 1.1× 40 0.8× 36 0.8× 48 1.1× 28 0.8× 21 172
Hugo Bertin France 6 150 2.0× 84 1.8× 79 1.7× 43 1.0× 68 1.8× 8 266
Maria Giovanna Cuzzoni Italy 5 83 1.1× 36 0.8× 29 0.6× 26 0.6× 46 1.2× 5 158
Sarah Keefe United States 6 44 0.6× 32 0.7× 39 0.8× 19 0.4× 27 0.7× 24 171
Huitong Ding United States 8 82 1.1× 26 0.5× 32 0.7× 97 2.3× 67 1.8× 33 282
Lihua Zhao China 12 59 0.8× 100 2.1× 45 1.0× 14 0.3× 34 0.9× 23 289
Erman Altunışık Türkiye 7 88 1.2× 21 0.4× 55 1.2× 26 0.6× 81 2.2× 33 294
David Weidman United States 5 46 0.6× 19 0.4× 30 0.6× 33 0.8× 26 0.7× 7 146

Countries citing papers authored by Manon Ansart

Since Specialization
Citations

This map shows the geographic impact of Manon Ansart'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 Manon Ansart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manon Ansart more than expected).

Fields of papers citing papers by Manon Ansart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manon Ansart. 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 Manon Ansart. The network helps show where Manon Ansart may publish in the future.

Co-authorship network of co-authors of Manon Ansart

This figure shows the co-authorship network connecting the top 25 collaborators of Manon Ansart. A scholar is included among the top collaborators of Manon Ansart 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 Manon Ansart. Manon Ansart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Drai-Zerbib, Véronique, et al.. (2024). Classifying musical reading expertise by eye-movement analysis using machine learning. SHILAP Revista de lepidopterología. 3. 2 indexed citations
3.
Paindavoine, Michel, Patrick Bard, Jean-Michel Rebibou, et al.. (2023). Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies. Nephrology Dialysis Transplantation. 38(12). 2786–2798. 7 indexed citations
4.
Couvy‐Duchesne, Baptiste, Timothy Daly, Manon Ansart, et al.. (2022). Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records. The Lancet Digital Health. 4(3). e169–e178. 52 indexed citations
5.
Ansart, Manon, Thierry Cresson, B. Aubert, Jacques A. de Guise, & Carlos Vázquez. (2022). Statistical shape model of the spine fitting study: impact of clipping the latent representation. HAL (Le Centre pour la Communication Scientifique Directe). 61. 40–40. 1 indexed citations
6.
Gaubert, Sinead, Marion Houot, Federico Raimondo, et al.. (2021). A machine learning approach to screen for preclinical Alzheimer's disease. Neurobiology of Aging. 105. 205–216. 21 indexed citations
7.
Ansart, Manon, et al.. (2021). Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large‐scale longitudinal study of French medical records. Alzheimer s & Dementia Translational Research & Clinical Interventions. 7(1). e12210–e12210. 1 indexed citations
8.
Ansart, Manon, Stéphane Epelbaum, Alexandre Bône, et al.. (2020). Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Analysis. 67. 101848–101848. 58 indexed citations
9.
Couvy‐Duchesne, Baptiste, Johann Faouzi, Elina Thibeau–Sutre, et al.. (2020). Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge. Frontiers in Psychiatry. 11. 593336–593336. 27 indexed citations
10.
Ansart, Manon, Stéphane Epelbaum, Geoffroy Gagliardi, et al.. (2019). Reduction of recruitment costs in preclinical AD trials: validation of automatic pre-screening algorithm for brain amyloidosis. Statistical Methods in Medical Research. 29(1). 151–164. 27 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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