Baptiste Vasey

1.5k total citations
12 papers, 247 citations indexed

About

Baptiste Vasey is a scholar working on Health Informatics, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Baptiste Vasey has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Informatics, 4 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Baptiste Vasey's work include Artificial Intelligence in Healthcare and Education (7 papers), Biomedical and Engineering Education (3 papers) and Surgical Simulation and Training (3 papers). Baptiste Vasey is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Biomedical and Engineering Education (3 papers) and Surgical Simulation and Training (3 papers). Baptiste Vasey collaborates with scholars based in United Kingdom, United States and Germany. Baptiste Vasey's co-authors include Peter McCulloch, Elliott H Taylor, Stephan Ursprung, Peter Watkinson, Maria Pufulete, Allison Hirst, Art Sedrakyan, Arsenio Páez, Mudathir Ibrahim and Sarim Ather and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Baptiste Vasey

12 papers receiving 240 citations

Peers

Baptiste Vasey
Jevan Cevik Australia
Bryan Lim Australia
Kenneth P. Seastedt United States
Ameer Khan United Kingdom
Iain B. McInnes United Kingdom
Joséphine A. Cool United States
Kelly Suchman United States
Natalia Norori United Kingdom
Jevan Cevik Australia
Baptiste Vasey
Citations per year, relative to Baptiste Vasey Baptiste Vasey (= 1×) peers Jevan Cevik

Countries citing papers authored by Baptiste Vasey

Since Specialization
Citations

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

Fields of papers citing papers by Baptiste Vasey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baptiste Vasey

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

All Works

12 of 12 papers shown
1.
Vasey, Baptiste, et al.. (2025). Safe AI-enabled digital health technologies need built-in open feedback. Nature Medicine. 31(2). 370–375. 2 indexed citations
2.
Rademakers, Frank, Nico Bruining, Enrico G. Caiani, et al.. (2025). CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software. npj Digital Medicine. 8(1). 90–90. 4 indexed citations
3.
Fraser, Alan G., Bart Bijnens, Nico Bruining, et al.. (2023). Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives. Expert Review of Medical Devices. 20(6). 467–491. 27 indexed citations
4.
Wekenborg, Magdalena, et al.. (2023). Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools. Journal of Medical Internet Research. 25. e50158–e50158. 12 indexed citations
5.
Vasey, Baptiste, Alex Novak, Sarim Ather, Mudathir Ibrahim, & Peter McCulloch. (2023). DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology. Clinical Radiology. 78(2). 130–136. 20 indexed citations
7.
Vasey, Baptiste, Danyal Z. Khan, Mudathir Ibrahim, et al.. (2022). Intraoperative Applications of Artificial Intelligence in Robotic Surgery: A Scoping Review of Current Development Stages and Levels of Autonomy. Annals of Surgery. 278(6). 896–903. 17 indexed citations
8.
Youssef, Alexey, Samaneh Kouchaki, Farah E. Shamout, et al.. (2021). Development and validation of early warning score systems for COVID‐19 patients. Healthcare Technology Letters. 8(5). 105–117. 8 indexed citations
9.
Khan, Danyal Z., Imanol Luengo, Neil Dorward, et al.. (2021). Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0). SHILAP Revista de lepidopterología. 1. 100580–100580. 4 indexed citations
10.
Vasey, Baptiste, et al.. (2021). Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems. JAMA Network Open. 4(3). e211276–e211276. 80 indexed citations
11.
Vasey, Baptiste, Anuraj H. Shankar, Bobby Brooke Herrera, et al.. (2020). Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis. PLoS neglected tropical diseases. 14(6). e0008199–e0008199. 6 indexed citations
12.
Hirst, Allison, Arsenio Páez, Baptiste Vasey, et al.. (2020). The IDEAL Reporting Guidelines. Annals of Surgery. 273(1). 82–85. 63 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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