Jacques-Antoine Maisonobe
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Oncology
- Artificial Intelligence
- Co-authors
- Irène BuvatMichaël SoussanCamilo GarciaBruno VanderlindenFanny OrlhacVéronique EderAlain HendliszJean‐François Morère
- Topics
- Medical Imaging Techniques and Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Radiation Dose and Imaging (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOtorhinolaryngologyPulmonary and Respiratory Medicine
- Journals
- Scientific ReportsJournal of Nuclear MedicineEuropean Journal of Nuclear Medicine and Molecular Imaging
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Jacques-Antoine Maisonobe
9 papers receiving 366 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 350
- Pulmonary and Respiratory Medicine 105
- Biomedical Engineering 92
- Oncology 52
- Artificial Intelligence 28
Countries citing papers authored by Jacques-Antoine Maisonobe
This map shows the geographic impact of Jacques-Antoine Maisonobe'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 Jacques-Antoine Maisonobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques-Antoine Maisonobe more than expected).
Fields of papers citing papers by Jacques-Antoine Maisonobe
This network shows the impact of papers produced by Jacques-Antoine Maisonobe. 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 Jacques-Antoine Maisonobe. The network helps show where Jacques-Antoine Maisonobe may publish in the future.
Co-authorship network of co-authors of Jacques-Antoine Maisonobe
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques-Antoine Maisonobe. A scholar is included among the top collaborators of Jacques-Antoine Maisonobe 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 Jacques-Antoine Maisonobe. Jacques-Antoine Maisonobe 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 | 3 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 285 | |
| 9 | 31 | |
| 10 | 26 |
About Jacques-Antoine Maisonobe
Jacques-Antoine Maisonobe is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Hepatology, having authored 10 papers that have together received 369 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (350 citations), Otorhinolaryngology (16 citations) and Pulmonary and Respiratory Medicine (105 citations). Jacques-Antoine Maisonobe has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Irène Buvat, Michaël Soussan, Camilo Garcia, Bruno Vanderlinden, Fanny Orlhac, Véronique Eder, Alain Hendlisz, Jean‐François Morère, Patrick Flamen and Kader Chouahnia. Their work appears in journals such as Scientific Reports, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.
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.