Christophe Nioche
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Irène BuvatFanny OrlhacFrédérique FrouinMichaël SoussanSarah BoughdadJessica Goya-OutiCharlotte RobertSylvain Reuzé
- Topics
- Radiomics and Machine Learning in Medical Imaging (28 papers)Medical Imaging Techniques and Applications (15 papers)MRI in cancer diagnosis (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- NeuroImageCancer ResearchRadiology
- Partner nations
- FranceItalyUnited States
In The Last Decade
Christophe Nioche
43 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 2.1k
- Pulmonary and Respiratory Medicine 749
- Biomedical Engineering 534
- Oncology 374
- Pathology and Forensic Medicine 359
Countries citing papers authored by Christophe Nioche
This map shows the geographic impact of Christophe Nioche'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 Christophe Nioche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Nioche more than expected).
Fields of papers citing papers by Christophe Nioche
This network shows the impact of papers produced by Christophe Nioche. 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 Christophe Nioche. The network helps show where Christophe Nioche may publish in the future.
Co-authorship network of co-authors of Christophe Nioche
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Nioche. A scholar is included among the top collaborators of Christophe Nioche 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 Christophe Nioche. Christophe Nioche 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 | 5 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 51 | |
| 6 | 105 | |
| 7 | 24 | |
| 8 | 17 | |
| 9 | 117 | |
| 10 | LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneitybreakdown → | 803 |
| 11 | 26 | |
| 12 | 23 | |
| 13 | 42 | |
| 14 | 28 | |
| 15 | 19 | |
| 16 | 70 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 128 | |
| 20 | 24 |
About Christophe Nioche
Christophe Nioche is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Genetics, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Medical Imaging Techniques and Applications (15 papers) and MRI in cancer diagnosis (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Health Informatics (45 citations) and Pulmonary and Respiratory Medicine (749 citations). Christophe Nioche has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Irène Buvat, Fanny Orlhac, Frédérique Frouin, Michaël Soussan, Sarah Boughdad, Jessica Goya-Outi, Charlotte Robert, Sylvain Reuzé, Claire Pellot‐Barakat and Nicholas Ayache. Their work appears in journals such as NeuroImage, Cancer Research and Radiology.
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.