Fanny Orlhac
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 2%
- Biomedical Engineering top 5%
- Oncology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Irène BuvatMichaël SoussanChristophe NiocheFrédérique FrouinSarah BoughdadSylvain ReuzéCharlotte RobertJessica Goya-Outi
- Topics
- Radiomics and Machine Learning in Medical Imaging (48 papers)Medical Imaging Techniques and Applications (21 papers)MRI in cancer diagnosis (17 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- FranceBelgiumNetherlands
In The Last Decade
Fanny Orlhac
45 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 2.9k
- Pulmonary and Respiratory Medicine 914
- Biomedical Engineering 833
- Oncology 499
- Artificial Intelligence 373
Countries citing papers authored by Fanny Orlhac
This map shows the geographic impact of Fanny Orlhac'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 Fanny Orlhac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanny Orlhac more than expected).
Fields of papers citing papers by Fanny Orlhac
This network shows the impact of papers produced by Fanny Orlhac. 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 Fanny Orlhac. The network helps show where Fanny Orlhac may publish in the future.
Co-authorship network of co-authors of Fanny Orlhac
This figure shows the co-authorship network connecting the top 25 collaborators of Fanny Orlhac. A scholar is included among the top collaborators of Fanny Orlhac 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 Fanny Orlhac. Fanny Orlhac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMIIbreakdown → | 235 |
| 6 | 21 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 51 | |
| 10 | 24 | |
| 11 | 27 | |
| 12 | LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneitybreakdown → | 803 |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 31 | |
| 16 | 52 | |
| 17 | 115 | |
| 18 | 18 | |
| 19 | 285 | |
| 20 | 131 |
About Fanny Orlhac
Fanny Orlhac is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Otorhinolaryngology, having authored 48 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (48 papers), Medical Imaging Techniques and Applications (21 papers) and MRI in cancer diagnosis (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Health Informatics (105 citations) and Pulmonary and Respiratory Medicine (914 citations). Fanny Orlhac has collaborated with scholars based in France, Belgium and Netherlands. Frequent co-authors include Irène Buvat, Michaël Soussan, Christophe Nioche, Frédérique Frouin, Sarah Boughdad, Sylvain Reuzé, Charlotte Robert, Jessica Goya-Outi, Claire Pellot‐Barakat and Nicholas Ayache. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.
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.