Catherine Laporte
- Surgery
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Co-authors
- Farida ChérietTal ArbelSamuel KadouryHubert LabelleLucie MénardJ. DansereauPierre BélangerG. Haïat
- Topics
- Medical Image Segmentation Techniques (11 papers)Ultrasound Imaging and Elastography (9 papers)Speech and Audio Processing (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComplementary and alternative medicineSignal Processing
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical Imaging
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Catherine Laporte
36 papers receiving 396 citations
Peers
Comparison fields: 5 of 75
- Surgery 154
- Biomedical Engineering 150
- Computer Vision and Pattern Recognition 86
- Radiology, Nuclear Medicine and Imaging 78
- Artificial Intelligence 58
Countries citing papers authored by Catherine Laporte
This map shows the geographic impact of Catherine Laporte'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 Catherine Laporte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Laporte more than expected).
Fields of papers citing papers by Catherine Laporte
This network shows the impact of papers produced by Catherine Laporte. 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 Catherine Laporte. The network helps show where Catherine Laporte may publish in the future.
Co-authorship network of co-authors of Catherine Laporte
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Laporte. A scholar is included among the top collaborators of Catherine Laporte 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 Catherine Laporte. Catherine Laporte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 29 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 57 | |
| 19 | 4 | |
| 20 | 68 |
About Catherine Laporte
Catherine Laporte is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 408 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Ultrasound Imaging and Elastography (9 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (86 citations), Complementary and alternative medicine (31 citations) and Signal Processing (39 citations). Catherine Laporte has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Farida Chériet, Tal Arbel, Samuel Kadoury, Hubert Labelle, Lucie Ménard, J. Dansereau, Pierre Bélanger, G. Haïat, Elham Karimi and Michael J. McGuffin. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.