A. Barateau

714 citations
39 papers · 476 · 1 hit paper · h-index 11

Impact in

Papers in

A. Barateau

34 papers receiving 475 citations

A. Barateau's Hit Papers

Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review 2021 · 133 citations
1330+1+3Years since publication4080120

Peers

A. Barateau
Comparison fields: 5 of 47
  • Radiation 260
  • Radiology, Nuclear Medicine and Imaging 199
  • Health Informatics 8
  • Obstetrics and Gynecology 22
  • Computer Vision and Pattern Recognition 57
Replace Haonan Xiao with:
Haonan Xiao Hong Kong
Hualiang Zhong United States
Kanabu Nawa Japan
Anna M. Dinkla Netherlands
Guillaume Cazoulat United States
H. Geng United States
Frank Zijlstra Netherlands
Azadeh Akhavanallaf Switzerland
Isabelle Fitton France
Noora Al‐Hammadi Qatar
A. Barateau relative to Haonan Xiao Hong Kong Haonan Xiao's profile →
Citations per field
00.5×4.9×
Haonan Xiao · 1×
Citations per year

Countries citing papers authored by A. Barateau

Since Specialization
Citations

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

Fields of papers citing papers by A. Barateau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
Hit paper breakdown →
2021133
2 201965
3 202047
4 201838
5 201828
6 201516
7 202214
8 201914
9 202212
10 202310
11 201910
12 20239
13 20209
14 20228
15 20228
16 20207
17 20247
18 20176
19 20186
20 20235

About A. Barateau

A. Barateau is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Otorhinolaryngology, having authored 39 papers that have together received 476 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (31 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers), Lung Cancer Diagnosis and Treatment (5 papers), Head and Neck Cancer Studies (4 papers), Advanced X-ray and CT Imaging (3 papers), Radiation Dose and Imaging (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Radiation (260 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Health Informatics (8 citations), Obstetrics and Gynecology (22 citations) and Computer Vision and Pattern Recognition (57 citations). A. Barateau has collaborated with scholars based in France, Australia and United States. Frequent co-authors include C. Lafond, R. de Crevoisier, Jean‐Claude Nunes, Oscar Acosta, A. Largent, J. Castelli, Jason Dowling, Peter B. Greer, Antoine Simon and Eugenia Mylona. Their work appears in journals such as Physica Medica, Medical Physics, Frontiers in Oncology, Physics in Medicine and Biology and Physics and Imaging in Radiation Oncology.

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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