Patrick Bourgouin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Lung Cancer Diagnosis and Treatment 5
- Cystic Fibrosis Research Advances 1
- Pleural and Pulmonary Diseases 1
- Surgery 3
- Vascular Malformations and Hemangiomas 2
- Co-authors
- Florian J. Fintelmann (4 shared papers)Gigin Lin (1 shared paper)A. Takigami (1 shared paper)PuiYee Chan (1 shared paper)Jeremy Wohlwend (1 shared paper)Yung‐Liang Wan (1 shared paper)Adam Yala (1 shared paper)Peter G. Mikhael (1 shared paper)
- Journals
- American Journal of Roentgenology (2 papers)Journal of Clinical Oncology (1 paper)Radiologic Clinics of North America (1 paper)Journal of Vascular and Interventional Radiology (1 paper)SLEEP (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Patrick Bourgouin
10 papers receiving 165 citations
Patrick Bourgouin's Hit Papers
Peers
Comparison fields: 5 of 48
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 90
- Pulmonary and Respiratory Medicine 91
- Microbiology 1
- Artificial Intelligence 38
Countries citing papers authored by Patrick Bourgouin
This map shows the geographic impact of Patrick Bourgouin'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 Patrick Bourgouin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Bourgouin more than expected).
Fields of papers citing papers by Patrick Bourgouin
This network shows the impact of papers produced by Patrick Bourgouin. 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 Patrick Bourgouin. The network helps show where Patrick Bourgouin may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Bourgouin, 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 | Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Hit paper breakdown → | 2023 | 114 |
| 2 | 2021 | 16 | |
| 3 | 2018 | 12 | |
| 4 | 2021 | 12 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2022 | 3 | |
| 8 | Transcatheter embolization in the management of intractable uremic epistaxis. | 1982 | 2 |
| 9 | 2023 | 2 | |
| 10 | 2017 | 1 |
About Patrick Bourgouin
Patrick Bourgouin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 170 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (2 papers), Vascular Malformations and Hemangiomas (2 papers), Soft tissue tumor case studies (1 paper), Restless Legs Syndrome Research (1 paper), Cystic Fibrosis Research Advances (1 paper), Pleural and Pulmonary Diseases (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Pulmonary and Respiratory Medicine (91 citations), Microbiology (1 citation) and Artificial Intelligence (38 citations). Patrick Bourgouin has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Florian J. Fintelmann, Gigin Lin, A. Takigami, PuiYee Chan, Jeremy Wohlwend, Yung‐Liang Wan, Adam Yala, Peter G. Mikhael, Cheng‐Ta Yang and Yu‐Hsiang Juan. Their work appears in journals such as American Journal of Roentgenology, Journal of Clinical Oncology, Radiologic Clinics of North America, Journal of Vascular and Interventional Radiology and SLEEP.
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.