François Monard
- Mathematical Physics top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Mechanics of Materials
- Co-authors
- Guillaume BalGabriel P. PaternainRichard NicklPlamen StefanovGünther UhlmannIan LangmoreColin GuillarmouAxel Osses
- Topics
- Numerical methods in inverse problems (19 papers)Electrical and Bioimpedance Tomography (9 papers)Medical Imaging Techniques and Applications (8 papers)
- Journals
- Journal of Computational PhysicsThe Annals of StatisticsCommunications in Mathematical Physics
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
François Monard
22 papers receiving 230 citations
Peers
Comparison fields: 5 of 37
- Mathematical Physics 194
- Biomedical Engineering 93
- Electrical and Electronic Engineering 86
- Radiology, Nuclear Medicine and Imaging 67
- Mechanics of Materials 48
Countries citing papers authored by François Monard
This map shows the geographic impact of François Monard'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 François Monard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Monard more than expected).
Fields of papers citing papers by François Monard
This network shows the impact of papers produced by François Monard. 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 François Monard. The network helps show where François Monard may publish in the future.
Co-authorship network of co-authors of François Monard
This figure shows the co-authorship network connecting the top 25 collaborators of François Monard. A scholar is included among the top collaborators of François Monard 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 François Monard. François Monard 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 24 | |
| 19 | 20 | |
| 20 | 6 |
About François Monard
François Monard is a scholar working on Mathematical Physics, Applied Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 276 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (19 papers), Electrical and Bioimpedance Tomography (9 papers) and Medical Imaging Techniques and Applications (8 papers). The work is most often cited by research in Mathematical Physics (194 citations), Applied Mathematics (34 citations) and Geophysics (43 citations). François Monard has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Guillaume Bal, Gabriel P. Paternain, Richard Nickl, Plamen Stefanov, Günther Uhlmann, Ian Langmore, Colin Guillarmou, Axel Osses, Matías Courdurier and Rohit Kumar Mishra. Their work appears in journals such as Journal of Computational Physics, The Annals of Statistics and Communications in Mathematical Physics.
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.