Romain Bey

1.1k citations
13 papers · 156 · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • COVID-19 and healthcare impacts
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening
    • Pancreatic and Hepatic Oncology Research

Papers in

    • COVID-19 and healthcare impacts 5
    • Colorectal Cancer Surgical Treatments 1
    • Pancreatic and Hepatic Oncology Research 1
    • Health disparities and outcomes 1

Romain Bey

13 papers receiving 154 citations

Peers

Romain Bey
Comparison fields: 5 of 68
  • Health Informatics 6
  • Oncology 63
  • Health Information Management 9
  • Artificial Intelligence 26
  • Medical Laboratory Technology 1
Replace Shoni Philpot with:
Shoni Philpot Australia
Sunil Xavier Raj Norway
Gino Venegas Peru
Mercy Asiedu United States
Joseph Joseph Australia
Carmelo Gaudioso United States
Yusuke Yagawa Japan
Edmund M. Qiao United States
Elena Prisciandaro Italy
Jianhao Xiong China
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Citations per field
00.5×1.5×2.4×
Shoni Philpot · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Romain Bey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Romain Bey Line = papers co-authored together Romain Bey links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202044
2 202131
3 202216
4 202413
5 20249
6 20219
7 20228
8 20227
9 20246
10 20235
11 20234
12 20232
13 20232

About Romain Bey

Romain Bey is a scholar working on Oncology, Health, Social Psychology, General Health Professions and Health Information Management, having authored 13 papers that have together received 156 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), Colorectal Cancer Surgical Treatments (1 paper), Health disparities and outcomes (1 paper), Mental Health via Writing (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Data Quality and Management (1 paper), Electronic Health Records Systems (1 paper) and Suicide and Self-Harm Studies (1 paper). The work is most often cited by research in Health Informatics (6 citations), Oncology (63 citations), Health Information Management (9 citations), Artificial Intelligence (26 citations) and Medical Laboratory Technology (1 citation). Romain Bey has collaborated with scholars based in France. Frequent co-authors include Mehdi Benchoufi, Raphaël Porcher, Xavier Tannier, Gilles Châtellier, Emmanuelle Kempf, Christel Daniel, Christophe Tournigand, Guillaume Lamé, Étienne Audureau and N. Taright. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Cancer, European Journal of Cancer, Cancer Medicine and Proceedings of the National Academy of Sciences.

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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