Guillaume Landry
- Radiation top 0.05%
- Advanced Radiotherapy Techniques 117
- Nuclear Physics and Applications 30
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- Medical Imaging Techniques and Applications 82
- Radiation Dose and Imaging 28
- Radiomics and Machine Learning in Medical Imaging 21
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- Radiation Therapy and Dosimetry 81
- Lung Cancer Diagnosis and Treatment 15
- Health Informatics top 2%
- Biomedical Engineering top 1%
- Advanced X-ray and CT Imaging 58
Guillaume Landry
178 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Radiation 2.9k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Pulmonary and Respiratory Medicine 2.3k
- Health Informatics 62
- Biomedical Engineering 1.7k
Countries citing papers authored by Guillaume Landry
This map shows the geographic impact of Guillaume Landry'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 Guillaume Landry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Landry more than expected).
Fields of papers citing papers by Guillaume Landry
This network shows the impact of papers produced by Guillaume Landry. 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 Guillaume Landry. The network helps show where Guillaume Landry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guillaume Landry, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 59 | |
| 20 | 2014 | 8 |
About Guillaume Landry
Guillaume Landry is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Informatics and Otorhinolaryngology, having authored 193 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (117 papers), Medical Imaging Techniques and Applications (82 papers), Radiation Therapy and Dosimetry (81 papers), Advanced X-ray and CT Imaging (58 papers), Nuclear Physics and Applications (30 papers), Radiation Dose and Imaging (28 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Diagnosis and Treatment (15 papers). The work is most often cited by research in Radiation (2.9k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Pulmonary and Respiratory Medicine (2.3k citations), Health Informatics (62 citations) and Biomedical Engineering (1.7k citations). Guillaume Landry has collaborated with scholars based in Germany, Netherlands and Canada. Frequent co-authors include Frank Verhaegen, Katia Parodi, Claus Belka, Christopher Kurz, F DeBlois, Philip Evans, Gavin Poludniowski, Florian Kamp, G. Dedes and Brigitte Reniers. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Radiation Oncology, Radiotherapy and Oncology and Physics and Imaging in Radiation 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.