Charlie Saillard
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Oncology
- Cancer Research
- Hepatology top 5%
- Co-authors
- Benoît SchmauchThomas ClozelJulien CaldéraroPierre CourtiolMatahi MoariiMikhail ZaslavskiyElodie PronierGilles Wainrib
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (6 papers)Colorectal Cancer Screening and Detection (4 papers)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Charlie Saillard
10 papers receiving 740 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 433
- Artificial Intelligence 379
- Oncology 146
- Cancer Research 145
- Hepatology 120
Countries citing papers authored by Charlie Saillard
This map shows the geographic impact of Charlie Saillard'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 Charlie Saillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlie Saillard more than expected).
Fields of papers citing papers by Charlie Saillard
This network shows the impact of papers produced by Charlie Saillard. 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 Charlie Saillard. The network helps show where Charlie Saillard may publish in the future.
Co-authorship network of co-authors of Charlie Saillard
This figure shows the co-authorship network connecting the top 25 collaborators of Charlie Saillard. A scholar is included among the top collaborators of Charlie Saillard 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 Charlie Saillard. Charlie Saillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 51 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 200 | |
| 8 | 14 | |
| 9 | A deep learning model to predict RNA-Seq expression of tumours from whole slide imagesbreakdown → | 282 |
| 10 | 2 | |
| 11 | 82 | |
| 12 | 115 |
About Charlie Saillard
Charlie Saillard is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Artificial Intelligence, having authored 12 papers that have together received 754 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (433 citations) and Hepatology (120 citations). Charlie Saillard has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Benoît Schmauch, Thomas Clozel, Julien Caldéraro, Pierre Courtiol, Matahi Moarii, Mikhail Zaslavskiy, Elodie Pronier, Gilles Wainrib, Alain Luciani and Paul Hérent. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Hepatology.
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.