Marie‐Laure Charpignon
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Epidemiology
- Artificial Intelligence
- Co-authors
- Leo Anthony CeliLama MoukheiberRené EberMaimuna S. MajumderJacqueline CelliniJoel ParkWilliam MitchellFranck Dernoncourt
- Topics
- COVID-19 epidemiological studies (9 papers)Non-Invasive Vital Sign Monitoring (4 papers)Sepsis Diagnosis and Treatment (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Marie‐Laure Charpignon
33 papers receiving 666 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 159
- Radiology, Nuclear Medicine and Imaging 101
- Biomedical Engineering 101
- Epidemiology 82
- Artificial Intelligence 82
Countries citing papers authored by Marie‐Laure Charpignon
This map shows the geographic impact of Marie‐Laure Charpignon'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 Marie‐Laure Charpignon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Laure Charpignon more than expected).
Fields of papers citing papers by Marie‐Laure Charpignon
This network shows the impact of papers produced by Marie‐Laure Charpignon. 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 Marie‐Laure Charpignon. The network helps show where Marie‐Laure Charpignon may publish in the future.
Co-authorship network of co-authors of Marie‐Laure Charpignon
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Laure Charpignon. A scholar is included among the top collaborators of Marie‐Laure Charpignon 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 Marie‐Laure Charpignon. Marie‐Laure Charpignon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 48 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 6 |
About Marie‐Laure Charpignon
Marie‐Laure Charpignon is a scholar working on Health Informatics, Modeling and Simulation and Health, having authored 38 papers that have together received 686 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Sepsis Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (159 citations), Modeling and Simulation (79 citations) and Health Information Management (31 citations). Marie‐Laure Charpignon has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Leo Anthony Celi, Lama Moukheiber, René Eber, Maimuna S. Majumder, Jacqueline Cellini, Joel Park, William Mitchell, Franck Dernoncourt, Edward Christopher Dee and Julian Schirmer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.