Georges Baillet
- Radiology, Nuclear Medicine and Imaging top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Cancer Research
- Co-authors
- Jean‐Luc MorettiElif HindiéJérôme ClercM IzembartAlain ChevalierL BarritaultJean-Louis MissetFarid Sarandi
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Medical Imaging Techniques and Applications (4 papers)Breast Cancer Treatment Studies (2 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and MetabolismCancer Research
In The Last Decade
Georges Baillet
11 papers receiving 378 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 240
- Endocrinology, Diabetes and Metabolism 106
- Pulmonary and Respiratory Medicine 96
- Surgery 79
- Cancer Research 71
Countries citing papers authored by Georges Baillet
This map shows the geographic impact of Georges 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 Georges Baillet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georges Baillet more than expected).
Fields of papers citing papers by Georges Baillet
This network shows the impact of papers produced by Georges 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 Georges Baillet. The network helps show where Georges Baillet may publish in the future.
Co-authorship network of co-authors of Georges Baillet
This figure shows the co-authorship network connecting the top 25 collaborators of Georges Baillet. A scholar is included among the top collaborators of Georges 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 Georges Baillet. Georges Baillet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 28 | |
| 5 | 5 | |
| 6 | 30 | |
| 7 | 92 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 104 | |
| 11 | 1 | |
| 12 | 50 |
About Georges Baillet
Georges Baillet is a scholar working on Radiology, Nuclear Medicine and Imaging, Anesthesiology and Pain Medicine and Immunology and Allergy, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (240 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Cancer Research (71 citations). Georges Baillet has collaborated with scholars based in France, Italy and Türkiye. Frequent co-authors include Jean‐Luc Moretti, Elif Hindié, Jérôme Clerc, M Izembart, Alain Chevalier, L Barritault, Jean-Louis Misset, Farid Sarandi, Pierre‐Alexandre Just and Marie‐Elisabeth Toubert. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging and AIDS Patient Care and STDs.
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.