Patrick Bourgouin
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Health Informatics top 5%
- Biomedical Engineering
- Co-authors
- Florian J. FintelmannLecia V. SequistA. TakigamiPuiYee ChanPeter G. MikhaelYung‐Liang WanAdam YalaJeremy Wohlwend
- Topics
- Lung Cancer Diagnosis and Treatment (5 papers)Medical Imaging Techniques and Applications (2 papers)Vascular Malformations and Hemangiomas (2 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Patrick Bourgouin
10 papers receiving 165 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Pulmonary and Respiratory Medicine 91
- Radiology, Nuclear Medicine and Imaging 90
- Artificial Intelligence 38
- Health Informatics 23
- Biomedical Engineering 19
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-authorship network of co-authors of Patrick Bourgouin
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Bourgouin. A scholar is included among the top collaborators of Patrick Bourgouin 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 Patrick Bourgouin. Patrick Bourgouin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomographybreakdown → | 114 |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | Transcatheter embolization in the management of intractable uremic epistaxis. | 2 |
About Patrick Bourgouin
Patrick Bourgouin is a scholar working on Microbiology, Genetics and Pulmonary and Respiratory Medicine, 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) and Vascular Malformations and Hemangiomas (2 papers). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Pulmonary and Respiratory Medicine (91 citations). Patrick Bourgouin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Florian J. Fintelmann, Lecia V. Sequist, A. Takigami, PuiYee Chan, Peter G. Mikhael, Yung‐Liang Wan, Adam Yala, Jeremy Wohlwend, Regina Barzilay and Yu‐Hsiang Juan. Their work appears in journals such as Journal of Clinical Oncology, SLEEP and American Journal of Roentgenology.
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.