Audrey Durand

820 total citations
33 papers, 393 citations indexed

About

Audrey Durand is a scholar working on Artificial Intelligence, Biomedical Engineering and Geriatrics and Gerontology. According to data from OpenAlex, Audrey Durand has authored 33 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Biomedical Engineering and 4 papers in Geriatrics and Gerontology. Recurrent topics in Audrey Durand's work include Pharmaceutical Practices and Patient Outcomes (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Machine Learning and Algorithms (2 papers). Audrey Durand is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (3 papers), Stroke Rehabilitation and Recovery (2 papers) and Machine Learning and Algorithms (2 papers). Audrey Durand collaborates with scholars based in Canada, France and Austria. Audrey Durand's co-authors include Christian Gagné, François Rousseau, Daniel Reinharz, Flavie Lavoie‐Cardinal, Robert Sabourin, Paul De Koninck, Jean Gekas, Jean‐Claude Forest, Emmanuel Bujold and Maud Vallée and has published in prestigious journals such as Nature Communications, The Astrophysical Journal and American Journal of Obstetrics and Gynecology.

In The Last Decade

Audrey Durand

28 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Audrey Durand Canada 12 65 61 49 46 44 33 393
Zhaojun Wang China 14 100 1.5× 24 0.4× 61 1.2× 20 0.4× 8 0.2× 59 602
Gengsheng Qin United States 16 105 1.6× 8 0.1× 35 0.7× 34 0.7× 7 0.2× 59 760
Martin Bürger Germany 13 27 0.4× 19 0.3× 61 1.2× 112 2.4× 12 0.3× 44 588
Siying Li China 13 60 0.9× 43 0.7× 31 0.6× 3 0.1× 13 0.3× 39 525
Rohit Tyagi India 10 27 0.4× 16 0.3× 53 1.1× 7 0.2× 29 0.7× 28 288
Malek Hammou Norway 3 133 2.0× 16 0.3× 20 0.4× 13 0.3× 8 0.2× 5 473
Alhanoof Althnian Saudi Arabia 5 81 1.2× 19 0.3× 8 0.2× 7 0.2× 8 0.2× 12 329
Brian L. Hill United States 12 44 0.7× 5 0.1× 76 1.6× 8 0.2× 8 0.2× 22 499
Ruoqing Zhu United States 14 110 1.7× 5 0.1× 13 0.3× 4 0.1× 21 0.5× 55 621
Marco Foracchia Italy 11 19 0.3× 23 0.4× 14 0.3× 12 0.3× 5 0.1× 19 1.0k

Countries citing papers authored by Audrey Durand

Since Specialization
Citations

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

Fields of papers citing papers by Audrey Durand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Durand

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Durand. A scholar is included among the top collaborators of Audrey Durand 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 Audrey Durand. Audrey Durand 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.
Durand, Audrey, et al.. (2025). Overcoming language barriers to enhance pharmaceutical care: Design and validation of a pictogram-based tool for cancer patients. Journal of Oncology Pharmacy Practice. 31(8). 1323–1328.
2.
Lefsrud, Mark, et al.. (2024). GrowSpace: A reinforcement learning environment for plant architecture. Computers and Electronics in Agriculture. 217. 108613–108613. 3 indexed citations
3.
Turcotte, Benoit, et al.. (2024). Development of AI-assisted microscopy frameworks through realistic simulation with pySTED. Nature Machine Intelligence. 6(10). 1197–1215. 7 indexed citations
4.
Durand, Audrey, et al.. (2023). Deep reinforcement learning for continuous wood drying production line control. Computers in Industry. 154. 104036–104036. 7 indexed citations
5.
6.
Allen, Zack van, Jeremy Grimshaw, Jamie Brehaut, et al.. (2023). Reducing touching eyes, nose and mouth (‘T‐zone’) to reduce the spread of infectious disease: A prospective study of motivational, volitional and non‐reflective predictors. British Journal of Health Psychology. 28(4). 893–913. 2 indexed citations
7.
8.
Lavoie‐Cardinal, Flavie, et al.. (2022). Contextual bandit optimization of super-resolution microscopy. 1 indexed citations
9.
10.
Parent, Martin, et al.. (2022). Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations. Nature Machine Intelligence. 4(5). 455–466. 22 indexed citations
11.
Legagneux, Pierre, et al.. (2021). Preserving the integrity of the Canadian northern ecosystems through insights provided by reinforcement learning-based Arctic fox movement models. International Conference on Machine Learning.
12.
Durand, Audrey, et al.. (2018). Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis. 67–82. 22 indexed citations
13.
Durand, Audrey, Theresa Wiesner, Marc-André Gardner, et al.. (2018). A machine learning approach for online automated optimization of super-resolution optical microscopy. Nature Communications. 9(1). 5247–5247. 48 indexed citations
14.
Durand, Audrey & Joëlle Pineau. (2015). Adaptive Treatment Allocation Using Sub-Sampled Gaussian Processes.. National Conference on Artificial Intelligence. 9–11. 1 indexed citations
15.
Rainville, François-Michel De, Audrey Durand, Félix-Antoine Fortin, et al.. (2012). Bayesian classification and unsupervised learning for isolating weeds in row crops. Pattern Analysis and Applications. 17(2). 401–414. 46 indexed citations
16.
Nshimyumukiza, Léon, Audrey Durand, Mathieu Gagnon, et al.. (2012). An economic evaluation: Simulation of the cost-effectiveness and cost-utility of universal prevention strategies against osteoporosis-related fractures. Journal of Bone and Mineral Research. 28(2). 383–394. 28 indexed citations
17.
Durand, Audrey, Christian Gagné, Marc-André Gardner, et al.. (2010). SCHNAPS: a generic population-based simulator for public health purposes. Summer Computer Simulation Conference. 182–189. 7 indexed citations
18.
Gekas, Jean, Audrey Durand, Maud Vallée, et al.. (2010). Rapid testing versus karyotyping in Down's syndrome screening: cost-effectiveness and detection of clinically significant chromosome abnormalities. European Journal of Human Genetics. 19(1). 3–9. 41 indexed citations
19.
Gekas, Jean, Audrey Durand, Emmanuel Bujold, et al.. (2010). Cost-effectiveness and accuracy of prenatal Down syndrome screening strategies: should the combined test continue to be widely used?. American Journal of Obstetrics and Gynecology. 204(2). 175.e1–175.e8. 21 indexed citations
20.
Durand, Audrey, et al.. (1997). Diabetes in the Indigenous Population of the Commonwealth of the Northern Mariana Islands. Asia Pacific Journal of Public Health. 9(1). 28–32. 7 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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