François Rousseau

9.1k citations
193 papers · 6.1k indexed · 2 hit papers · h-index 44

François Rousseau

183 papers receiving 6.0k citations

Hit Papers

On the growth and form ...3701991202620022014100200300400500

Peers

François Rousseau
Comparison fields: 5 of 186
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Computer Vision and Pattern Recognition 1.0k
  • Cognitive Neuroscience 945
  • Genetics 952
Replace Jagath C. Rajapakse with:
Jagath C. Rajapakse Singapore
Torsten Rohlfing United States
Polina Golland United States
John G. Sled Canada
Rachel G. Smith United States
David L. Wilson United States
David W. Shattuck United States
Klaus M. Hahn United States
Luis Martí‐Bonmatí Spain
Giuseppe Scotti Italy
François Rousseau relative to Jagath C. Rajapakse Singapore Jagath C. Rajapakse's profile →
Citations per field
00.5×3.8×
Jagath C. Rajapakse · 1×
Citations per year

Countries citing papers authored by François Rousseau

Since Specialization
Citations

This map shows the geographic impact of François Rousseau'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 Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Rousseau more than expected).

Fields of papers citing papers by François Rousseau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Rousseau. 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 Rousseau. The network helps show where François Rousseau may publish in the future.

Co-authorship network

The 25 scholars most cited alongside François Rousseau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with François Rousseau Line = papers co-authored together François Rousseau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20213
5 20175
6 20164
7 201587
8 201569
9 20131
10 201113
11 2011175
12 20113
13 20114
14 2011205
15 201113
16 2010119
17 20104
18 201075
19 200434
20 200075

About François Rousseau

François Rousseau is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 193 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (33 papers), Fetal and Pediatric Neurological Disorders (32 papers), Medical Image Segmentation Techniques (27 papers), Neonatal and fetal brain pathology (20 papers), Advanced MRI Techniques and Applications (15 papers), Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (12 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Pediatrics, Perinatology and Child Health (1.2k citations) and Computer Vision and Pattern Recognition (1.0k citations). François Rousseau has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Colin Studholme, Piotr A. Habas, Orit A. Glenn, A. James Barkovich, Michalis Vazirgiannis, Ronan Fablet, Julien Lefèvre, Jean‐Louis Mandel, Jun Young Chung and Nadine Girard. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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.

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