Michel Gingras
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiology practices and education
Papers in
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- Lung Cancer Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 1
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- Cardiac, Anesthesia and Surgical Outcomes 1
- Cardiovascular Health and Disease Prevention 1
- Co-authors
- John R. Mayo (2 shared papers)Daria Manos (2 shared papers)Jean M. Seely (2 shared papers)Paul Burrowes (2 shared papers)Heidi Schmidt (2 shared papers)Ming‐Sound Tsao (2 shared papers)Rick Bhatia (2 shared papers)Sukhinder Atkar-Khattra (2 shared papers)
- Journals
- Canadian Journal of Anesthesia/Journal canadien d anesthésie (1 paper)Canadian Journal of Cardiology (1 paper)The Annals of Thoracic Surgery (1 paper)The Lancet Digital Health (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Michel Gingras
6 papers receiving 132 citations
Peers
Comparison fields: 5 of 37
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 92
- Pulmonary and Respiratory Medicine 85
- Anesthesiology and Pain Medicine 5
- Artificial Intelligence 27
Countries citing papers authored by Michel Gingras
This map shows the geographic impact of Michel Gingras'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 Michel Gingras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Gingras more than expected).
Fields of papers citing papers by Michel Gingras
This network shows the impact of papers produced by Michel Gingras. 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 Michel Gingras. The network helps show where Michel Gingras may publish in the future.
Co-authors
The 25 scholars most cited alongside Michel Gingras, 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 | 2019 | 88 | |
| 2 | 2016 | 31 | |
| 3 | 2019 | 6 | |
| 4 | 2021 | 5 | |
| 5 | 2012 | 4 | |
| 6 | 2019 | 2 |
About Michel Gingras
Michel Gingras is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 136 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Airway Management and Intubation Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Pulmonary and Respiratory Medicine (85 citations), Anesthesiology and Pain Medicine (5 citations) and Artificial Intelligence (27 citations). Michel Gingras has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include John R. Mayo, Daria Manos, Jean M. Seely, Paul Burrowes, Heidi Schmidt, Ming‐Sound Tsao, Rick Bhatia, Sukhinder Atkar-Khattra, Sergio Pasian and Martin C. Tammemägi. Their work appears in journals such as Canadian Journal of Anesthesia/Journal canadien d anesthésie, Canadian Journal of Cardiology, The Annals of Thoracic Surgery, The Lancet Digital Health and Journal of Thoracic Oncology.
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.