Mathilde Pachot‐Clouard
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience top 10%
- Rheumatology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Denis Le BihanChristoph SegebarthSabina PappatàKatayoun VahediHugues ChabriatAntoinette JobertLeif ØstergaardChris Clark
- Topics
- Cerebrovascular and Carotid Artery Diseases (5 papers)Advanced MRI Techniques and Applications (4 papers)Cardiac Imaging and Diagnostics (3 papers)
- Cited by
- NeurologySensory SystemsRheumatology
- Partner nations
- FranceUnited StatesDenmark
In The Last Decade
Mathilde Pachot‐Clouard
13 papers receiving 583 citations
Peers
Comparison fields: 5 of 73
- Neurology 196
- Radiology, Nuclear Medicine and Imaging 169
- Cognitive Neuroscience 158
- Rheumatology 134
- Pulmonary and Respiratory Medicine 77
Countries citing papers authored by Mathilde Pachot‐Clouard
This map shows the geographic impact of Mathilde Pachot‐Clouard'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 Mathilde Pachot‐Clouard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Pachot‐Clouard more than expected).
Fields of papers citing papers by Mathilde Pachot‐Clouard
This network shows the impact of papers produced by Mathilde Pachot‐Clouard. 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 Mathilde Pachot‐Clouard. The network helps show where Mathilde Pachot‐Clouard may publish in the future.
Co-authorship network of co-authors of Mathilde Pachot‐Clouard
This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Pachot‐Clouard. A scholar is included among the top collaborators of Mathilde Pachot‐Clouard 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 Mathilde Pachot‐Clouard. Mathilde Pachot‐Clouard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 7 | |
| 3 | 55 | |
| 4 | 13 | |
| 5 | 43 | |
| 6 | 87 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 142 | |
| 10 | 159 | |
| 11 | [Non-invasive imaging of atherosclerosis by MRI and ultrasonography]. | 1 |
| 12 | 22 | |
| 13 | 14 |
About Mathilde Pachot‐Clouard
Mathilde Pachot‐Clouard is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Sensory Systems, having authored 13 papers that have together received 592 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (5 papers), Advanced MRI Techniques and Applications (4 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Neurology (196 citations), Sensory Systems (51 citations) and Rheumatology (134 citations). Mathilde Pachot‐Clouard has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include Denis Le Bihan, Christoph Segebarth, Sabina Pappatà, Katayoun Vahedi, Hugues Chabriat, Antoinette Jobert, Leif Østergaard, Chris Clark, Marie‐Germaine Bousser and Chris A. Clark. Their work appears in journals such as NeuroImage, Stroke and Magnetic Resonance in Medicine.
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.