Romain Bey

984 total citations
13 papers, 131 citations indexed

About

Romain Bey is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Romain Bey has authored 13 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Romain Bey's work include COVID-19 and healthcare impacts (5 papers), Machine Learning in Healthcare (4 papers) and Global Cancer Incidence and Screening (2 papers). Romain Bey is often cited by papers focused on COVID-19 and healthcare impacts (5 papers), Machine Learning in Healthcare (4 papers) and Global Cancer Incidence and Screening (2 papers). Romain Bey collaborates with scholars based in France. Romain Bey's co-authors include Mehdi Benchoufi, Raphaël Porcher, Xavier Tannier, Gilles Châtellier, Emmanuelle Kempf, Guillaume Lamé, Christophe Tournigand, Christel Daniel, Étienne Audureau and Benoît Coasne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and International Journal of Cancer.

In The Last Decade

Romain Bey

13 papers receiving 129 citations

Peers

Romain Bey

ONCOL

RNMI

PRM

Lerda Donata Italy

Katja Jarm Slovenia

Kate Ennis United Kingdom

Alex Dunn New Zealand

Christine Conageski United States

Freddy Houéhanou Rodrigue Gnangnon Benin

Rupert Alison United Kingdom

Artur Nowak United States

OA Egwuonwu Nigeria

Siping Luo China

Lerda Donata Italy

Romain Bey

158 ×2.4

ONCOL

23 ×0.9

12 ×0.7

21 ×1.5

RNMI

27 ×2.1

PRM

Citations per year, relative to Romain Bey Romain Bey (= 1×) peers Lerda Donata

Countries citing papers authored by Romain Bey

Since Specialization

Citations

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

Fields of papers citing papers by Romain Bey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Bey

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

All Works

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13 of 13 papers shown

Berthelot, Emmanuelle, et al.. (2024). Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions. Journal of the American Medical Informatics Association. 31(6). 1280–1290. 5 indexed citations

Tannier, Xavier, et al.. (2024). Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse. Methods of Information in Medicine. 63(01/02). 21–34. 7 indexed citations

Bey, Romain, Ariel Cohen, Pierre A. Geoffroy, et al.. (2024). Natural language processing of multi-hospital electronic health records for public health surveillance of suicidality. SHILAP Revista de lepidopterología. 3(1). 6–6. 4 indexed citations

Flicoteaux, Rémi, Guillaume Lamé, Romain Bey, et al.. (2023). Development of a natural language processing model for deriving breast cancer quality indicators : A cross-sectional, multicenter study. Revue d Épidémiologie et de Santé Publique. 71(6). 102189–102189. 2 indexed citations

Lamé, Guillaume, Gilles Châtellier, Romain Bey, et al.. (2023). Why Are Data Missing in Clinical Data Warehouses? A Simulation Study of How Data Are Processed (and Can Be Lost). Studies in health technology and informatics. 302. 202–206. 1 indexed citations

Lamé, Guillaume, Johanna Wassermann, Romain Bey, et al.. (2023). Impact of the COVID‐19 pandemic on clinical presentation, treatments, and outcomes of new breast cancer patients: A retrospective multicenter cohort study. Cancer Medicine. 12(22). 20918–20929. 4 indexed citations

Kempf, Emmanuelle, Guillaume Lamé, Alexis Laurent, et al.. (2023). No changes in clinical presentation, treatment strategies and survival of pancreatic cancer cases during the SARS‐COV‐2 outbreak: A retrospective multicenter cohort study on real‐world data. International Journal of Cancer. 153(12). 1988–1996. 5 indexed citations

Lamé, Guillaume, Gérard Zalcman, Marie Wislez, et al.. (2022). Influence of the SARS-CoV-2 outbreak on management and prognosis of new lung cancer cases, a retrospective multicentre real-life cohort study. European Journal of Cancer. 173. 33–40. 7 indexed citations

Daniel, Christel, Nicolás Paris, Olivier Pierre, et al.. (2022). AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic. Studies in health technology and informatics. 294. 28–32. 5 indexed citations

10.

Kempf, Emmanuelle, Guillaume Lamé, Christel Daniel, et al.. (2022). Impact of two waves of Sars‐Cov2 outbreak on the number, clinical presentation, care trajectories and survival of patients newly referred for a colorectal cancer: A French multicentric cohort study from a large group of university hospitals. International Journal of Cancer. 150(10). 1609–1618. 15 indexed citations

11.

Kempf, Emmanuelle, Guillaume Lamé, Richard Layese, et al.. (2021). New cancer cases at the time of SARS-Cov2 pandemic and related public health policies: A persistent and concerning decrease long after the end of the national lockdown. European Journal of Cancer. 150. 260–267. 31 indexed citations

12.

Bey, Romain, et al.. (2021). Carbon dioxide as a line active agent: Its impact on line tension and nucleation rate. Proceedings of the National Academy of Sciences. 118(33). 9 indexed citations

13.

Bey, Romain, et al.. (2020). Fold-stratified cross-validation for unbiased and privacy-preserving federated learning. Journal of the American Medical Informatics Association. 27(8). 1244–1251. 36 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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