Alain Lalande
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- Cardiac Imaging and Diagnostics 35
- Advanced MRI Techniques and Applications 35
- Radiomics and Machine Learning in Medical Imaging 15
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- Cardiovascular Function and Risk Factors 16
- Health Informatics top 5%
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- Medical Image Segmentation Techniques 17
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- Aortic Disease and Treatment Approaches 23
- Aortic aneurysm repair treatments 18
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- Osteoarthritis Treatment and Mechanisms 16
- Co-authors
- François BrunottePierre‐Marc JodoinPaul M. WalkerJean‐Eric WolfStéphanie BricqYoussef SkandaraniPhilippe Khau Van KienRaabid Hussain
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineHealth Informatics
- Journals
- Circulation (2 papers)Nature Genetics (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Alain Lalande
137 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 1.0k
- Cardiology and Cardiovascular Medicine 696
- Health Informatics 39
- Computer Vision and Pattern Recognition 392
- Pulmonary and Respiratory Medicine 607
Countries citing papers authored by Alain Lalande
This map shows the geographic impact of Alain Lalande'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 Alain Lalande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alain Lalande more than expected).
Fields of papers citing papers by Alain Lalande
This network shows the impact of papers produced by Alain Lalande. 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 Alain Lalande. The network helps show where Alain Lalande may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alain Lalande, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 5 | |
| 8 | GANs for Medical Image Synthesis: An Empirical Studybreakdown → | 2023 | 107 |
| 9 | 2023 | 2 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 40 | |
| 18 | 2018 | 123 | |
| 19 | 2018 | 10 | |
| 20 | Abstract 12579: Fragmented Qrs Complex on a 12-Lead Ecg in Patients With Acute Myocardial Infarction: A MRI Study | 2011 | 1 |
About Alain Lalande
Alain Lalande is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 146 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (35 papers), Advanced MRI Techniques and Applications (35 papers), Aortic Disease and Treatment Approaches (23 papers), Aortic aneurysm repair treatments (18 papers), Medical Image Segmentation Techniques (17 papers), Cardiovascular Function and Risk Factors (16 papers), Osteoarthritis Treatment and Mechanisms (16 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Cardiology and Cardiovascular Medicine (696 citations) and Health Informatics (39 citations). Alain Lalande has collaborated with scholars based in France, Spain and United States. Frequent co-authors include François Brunotte, Pierre‐Marc Jodoin, Paul M. Walker, Jean‐Eric Wolf, Stéphanie Bricq, Youssef Skandarani, Philippe Khau Van Kien, Raabid Hussain, Xavier Jeunemaı̂tre and Flavie Mathieu. Their work appears in journals such as Circulation, Nature Genetics 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.