Lucy Mosquera

494 total citations
17 papers, 288 citations indexed

About

Lucy Mosquera is a scholar working on Artificial Intelligence, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Lucy Mosquera has authored 17 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 3 papers in Sociology and Political Science. Recurrent topics in Lucy Mosquera's work include Privacy-Preserving Technologies in Data (6 papers), Statistical Methods in Clinical Trials (4 papers) and Ethics in Clinical Research (3 papers). Lucy Mosquera is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Statistical Methods in Clinical Trials (4 papers) and Ethics in Clinical Research (3 papers). Lucy Mosquera collaborates with scholars based in Canada, United States and Netherlands. Lucy Mosquera's co-authors include Khaled El Emam, Zahra Azizi, Louise Pilote, Alaa El‐Hussuna, Elizabeth Jonker, Harpreet Sood, Bei Jiang, Vishal Sharma, B. Hamilton and Dean T. Eurich and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Lucy Mosquera

14 papers receiving 278 citations

Peers

Lucy Mosquera
Hansi Zhang United States
Angelica Neisa Canada
Megan Kaiser United States
Zhanglong Ji United States
Thomas Gallagher United States
Louise Deléger France
Martin Lablans Germany
Braden Soper United States
Andre Quina United States
Simona Carini United States
Hansi Zhang United States
Lucy Mosquera
Citations per year, relative to Lucy Mosquera Lucy Mosquera (= 1×) peers Hansi Zhang

Countries citing papers authored by Lucy Mosquera

Since Specialization
Citations

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

Fields of papers citing papers by Lucy Mosquera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucy Mosquera

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

All Works

17 of 17 papers shown
1.
Myles, Puja, Randi E. Foraker, Sengwee Toh, et al.. (2025). Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases. npj Digital Medicine. 8(1). 758–758.
2.
Smith, Aaron, et al.. (2024). Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation. JMIR Formative Research. 8. e53241–e53241.
3.
Emam, Khaled El, et al.. (2024). An evaluation of the replicability of analyses using synthetic health data. Scientific Reports. 14(1). 6978–6978. 8 indexed citations
4.
Mitsakakis, Nicholas, Gregory R. Pond, Lisa Vandermeer, et al.. (2023). Can synthetic data accurately mimic oncology clinical trials?. Journal of Clinical Oncology. 41(16_suppl). 1554–1554. 2 indexed citations
5.
6.
Mosquera, Lucy, Khaled El Emam, Lei Ding, et al.. (2023). A method for generating synthetic longitudinal health data. BMC Medical Research Methodology. 23(1). 67–67. 18 indexed citations
7.
Mitsakakis, Nicholas, Gregory R. Pond, Lisa Vandermeer, et al.. (2023). Evaluating the Utility and Privacy of Synthetic Breast Cancer Clinical Trial Data Sets. JCO Clinical Cancer Informatics. 7(7). e2300116–e2300116. 15 indexed citations
8.
Hossain, Md. Belal, Lucy Mosquera, & Mohammad Ehsanul Karim. (2022). Analysis approaches to address treatment nonadherence in pragmatic trials with point-treatment settings: a simulation study. BMC Medical Research Methodology. 22(1). 46–46. 3 indexed citations
9.
Emam, Khaled El, et al.. (2022). Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study. JMIR Medical Informatics. 10(4). e35734–e35734. 36 indexed citations
10.
Clemons, Mark, Sharon F. McGee, Gail Larocque, et al.. (2022). Using machine learning to predict individual patient toxicities from cancer treatments. Supportive Care in Cancer. 30(9). 7397–7406. 4 indexed citations
11.
Mosquera, Lucy, et al.. (2022). Measuring re-identification risk using a synthetic estimator to enable data sharing. PLoS ONE. 17(6). e0269097–e0269097. 12 indexed citations
12.
Emam, Khaled El, et al.. (2022). Validating a membership disclosure metric for synthetic health data. JAMIA Open. 5(4). ooac083–ooac083. 20 indexed citations
13.
Azizi, Zahra, et al.. (2021). Can synthetic data be a proxy for real clinical trial data? A validation study. BMJ Open. 11(4). e043497–e043497. 60 indexed citations
14.
Emam, Khaled El, Lucy Mosquera, Elizabeth Jonker, & Harpreet Sood. (2021). Evaluating the utility of synthetic COVID-19 case data. JAMIA Open. 4(1). ooab012–ooab012. 30 indexed citations
15.
Emam, Khaled El, et al.. (2020). Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation. Journal of Medical Internet Research. 22(11). e23139–e23139. 48 indexed citations
16.
17.
Emam, Khaled El, et al.. (2020). Optimizing the synthesis of clinical trial data using sequential trees. Journal of the American Medical Informatics Association. 28(1). 3–13. 31 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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