Loïc Duron

1.8k citations
49 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Loïc Duron

43 papers receiving 1.3k citations

Loïc Duron's Hit Papers

Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT 2023 · 289 citations
2890+1+2Years since publication50100150200250

Peers

Loïc Duron
Comparison fields: 5 of 104
  • Health Informatics 351
  • Radiology, Nuclear Medicine and Imaging 472
  • Family Practice 16
  • Genetics 70
  • Pulmonary and Respiratory Medicine 162
Replace Burak Koçak with:
Burak Koçak Türkiye
Teodoro Martín‐Noguerol Spain
Shahein Tajmir United States
Walter F. Wiggins United States
Joseph J. Titano United States
Luke L. Gompels United Kingdom
Andrea Ponsiglione Italy
Vishwa S. Parekh United States
Jesse L. Courtier United States
Nicola H. Strickland United Kingdom
Loïc Duron relative to Burak Koçak Türkiye Burak Koçak's profile →
Citations per field
00.5×1.6×
Burak Koçak · 1×
Citations per year

Countries citing papers authored by Loïc Duron

Since Specialization
Citations

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

Fields of papers citing papers by Loïc Duron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Loïc Duron, 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 Loïc Duron Line = papers co-authored together Loïc Duron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
Hit paper breakdown →
2023289
2 2019148
3 2020147
4 2021121
5 2022105
6 201650
7 201944
8 202138
9 201737
10 202131
11 202028
12 201926
13 201624
14 201717
15 201817
16 202017
17 201916
18 202316
19 202013
20 202113

About Loïc Duron

Loïc Duron is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Epidemiology and Genetics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Artificial Intelligence in Healthcare and Education (8 papers), Acute Ischemic Stroke Management (6 papers), Multiple Sclerosis Research Studies (5 papers), Advanced X-ray and CT Imaging (4 papers), Glioma Diagnosis and Treatment (3 papers), Radiology practices and education (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Health Informatics (351 citations), Radiology, Nuclear Medicine and Imaging (472 citations), Family Practice (16 citations), Genetics (70 citations) and Pulmonary and Respiratory Medicine (162 citations). Loïc Duron has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Augustin Lecler, Philippe Soyer, Julien Savatovsky, Laure S Fournier, A. Feydy, Jean‐Claude Sadik, Daniel Balvay, Frédérique Charbonneau, Isabelle Thomassin-naggara and Saskia Vande Perre. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, Investigative Radiology, American Journal of Neuroradiology and Scientific Reports.

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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