Aaron Babier
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
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- Advanced Radiotherapy Techniques 4
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- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Timothy C. Y. Chan (6 shared papers)Justin J. Boutilier (2 shared papers)Andrea McNiven (2 shared papers)Matthew G. Crowson (2 shared papers)Joseph M. Chen (1 shared paper)Russel Kahmke (1 shared paper)Antoine Eskander (1 shared paper)Bin Xu (1 shared paper)
- Journals
- Medical Physics (2 papers)Physica Medica (1 paper)Management Science (1 paper)The Laryngoscope (1 paper)Physics in Medicine and Biology (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Aaron Babier
7 papers receiving 196 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 25
- Otorhinolaryngology 47
- Radiation 63
- Radiology, Nuclear Medicine and Imaging 92
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Aaron Babier
This map shows the geographic impact of Aaron Babier'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 Aaron Babier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Babier more than expected).
Fields of papers citing papers by Aaron Babier
This network shows the impact of papers produced by Aaron Babier. 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 Aaron Babier. The network helps show where Aaron Babier may publish in the future.
Co-authors
The 15 scholars most cited alongside Aaron Babier, 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 | 92 | |
| 2 | 2018 | 52 | |
| 3 | 2018 | 27 | |
| 4 | 2020 | 17 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 0 |
About Aaron Babier
Aaron Babier is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 196 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiation Therapy and Dosimetry (2 papers), Speech and Audio Processing (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Health Informatics (25 citations), Otorhinolaryngology (47 citations), Radiation (63 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Pulmonary and Respiratory Medicine (66 citations). Aaron Babier has collaborated with scholars based in Canada and United States. Frequent co-authors include Timothy C. Y. Chan, Justin J. Boutilier, Andrea McNiven, Matthew G. Crowson, Joseph M. Chen, Russel Kahmke, Antoine Eskander, Bin Xu, Michael B. Sharpe and Mark Ruschin. Their work appears in journals such as Medical Physics, Physica Medica, Management Science, The Laryngoscope and Physics in Medicine and Biology.
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.