Fleur Jeanquartier
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 3
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- Cell Image Analysis Techniques 6
- Co-authors
- Andreas Holzinger (24 shared papers)Claire Jean-Quartier (22 shared papers)Igor Jurišica (2 shared papers)Helwig Hauser (1 shared paper)Çağatay Turkay (1 shared paper)Shane O’Sullivan (3 shared papers)Ugo Pagallo (1 shared paper)Arkadiusz Miernik (1 shared paper)
In The Last Decade
Fleur Jeanquartier
27 papers receiving 435 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 38
- Modeling and Simulation 28
- Biophysics 25
- Neurology 26
- Radiology, Nuclear Medicine and Imaging 69
Countries citing papers authored by Fleur Jeanquartier
This map shows the geographic impact of Fleur Jeanquartier'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 Fleur Jeanquartier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleur Jeanquartier more than expected).
Fields of papers citing papers by Fleur Jeanquartier
This network shows the impact of papers produced by Fleur Jeanquartier. 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 Fleur Jeanquartier. The network helps show where Fleur Jeanquartier may publish in the future.
Co-authors
The 25 scholars most cited alongside Fleur Jeanquartier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 92 | |
| 2 | 2015 | 55 | |
| 3 | 2014 | 46 | |
| 4 | 2023 | 39 | |
| 5 | 2019 | 25 | |
| 6 | 2016 | 23 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2024 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2011 | 3 |
About Fleur Jeanquartier
Fleur Jeanquartier is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 450 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Cell Image Analysis Techniques (6 papers), Data Visualization and Analytics (4 papers), Gene expression and cancer classification (3 papers), Mathematical Biology Tumor Growth (3 papers), Single-cell and spatial transcriptomics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Health Informatics (38 citations), Modeling and Simulation (28 citations), Biophysics (25 citations), Neurology (26 citations) and Radiology, Nuclear Medicine and Imaging (69 citations). Fleur Jeanquartier has collaborated with scholars based in Austria, Canada and Germany. Frequent co-authors include Andreas Holzinger, Claire Jean-Quartier, Igor Jurišica, Helwig Hauser, Çağatay Turkay, Shane O’Sullivan, Ugo Pagallo, Arkadiusz Miernik, Michael Friebe and Nathalie Nevejans. Their work appears in journals such as Lecture notes in computer science, BMC Medical Informatics and Decision Making, BMC Cancer, International Journal of Molecular Sciences and BMC Systems Biology.
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.