C. Baillet

456 total citations
31 papers, 231 citations indexed

About

C. Baillet is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, C. Baillet has authored 31 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in C. Baillet's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). C. Baillet is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). C. Baillet collaborates with scholars based in France, Germany and Bangladesh. C. Baillet's co-authors include D. Huglo, Anthony Turpin, Mehdi El Amrani, François‐René Pruvot, Stéphanie Truant, Maximilien Vermandel, Arnauld Villers, Jonathan Olivier, Dominique Pasquier and Philippe Puech and has published in prestigious journals such as Scientific Reports, Physics in Medicine and Biology and American Journal of Transplantation.

In The Last Decade

C. Baillet

26 papers receiving 228 citations

Peers

C. Baillet
Comparison fields: 5 of 46
  • Pulmonary and Respiratory Medicine 97
  • Radiology, Nuclear Medicine and Imaging 84
  • Hepatology 58
  • Epidemiology 52
  • Surgery 45
Replace Chia‐Ling Chiang with:
Chia‐Ling Chiang Taiwan
Koiku Asakura Japan
Hye Lim Park South Korea
Yiran Mao China
Alfred C. Liao United States
H.K. Cheow United Kingdom
Boris Gorodetski Germany
Sheema Chawla United States
Hiroyasu Tamamura Japan
Donghui Guo China
Chia‐Ling Chiang Taiwan View profile →
Citations per field, relative to C. Baillet
C. Baillet · 1×
Citations per year, relative to C. Baillet
C. Baillet · 1×

Countries citing papers authored by C. Baillet

Since Specialization
Citations

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

Fields of papers citing papers by C. Baillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Baillet

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 6
5 6
6 1
7 4
8 23
9 42
10 12
11 6
12 2
13 23
14 2
15 18
16 1
17 10
18 30
19 1
20 13

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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