Alexander Egan
Impact in
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Neurology top 2%
- Brain Tumor Detection and Classification
Papers in
-
- Radiation Therapy and Dosimetry 3
-
- Advanced Radiotherapy Techniques 1
- Co-authors
- Yuanjie Zheng (1 shared paper)James C. Gee (1 shared paper)Nicholas James Tustison (1 shared paper)Philip A. Cook (1 shared paper)Brian Avants (1 shared paper)Paul A. Yushkevich (1 shared paper)C. Bloch (4 shared papers)Jatinder Saini (4 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)IEEE Transactions on Medical Imaging (1 paper)Nuclear Fusion (1 paper)Physica Medica (1 paper)Physics in Medicine and Biology (1 paper)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Alexander Egan
6 papers receiving 4.7k citations
Alexander Egan's Hit Papers
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 1.5k
- Neurology 402
- Computer Vision and Pattern Recognition 1.1k
- Cognitive Neuroscience 902
- Psychiatry and Mental health 528
Countries citing papers authored by Alexander Egan
This map shows the geographic impact of Alexander Egan'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 Alexander Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Egan more than expected).
Fields of papers citing papers by Alexander Egan
This network shows the impact of papers produced by Alexander Egan. 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 Alexander Egan. The network helps show where Alexander Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Egan, 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 | N4ITK: Improved N3 Bias Correction Hit paper breakdown → | 2010 | 4541 |
| 2 | 2017 | 106 | |
| 3 | 2010 | 90 | |
| 4 | 2020 | 11 | |
| 5 | 2017 | 6 | |
| 6 | 2017 | 2 |
About Alexander Egan
Alexander Egan is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 6 papers that have together received 4.8k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (3 papers), Advanced Radiotherapy Techniques (1 paper), Magnetic confinement fusion research (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Neurology (402 citations), Computer Vision and Pattern Recognition (1.1k citations), Cognitive Neuroscience (902 citations) and Psychiatry and Mental health (528 citations). Alexander Egan has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Yuanjie Zheng, James C. Gee, Nicholas James Tustison, Philip A. Cook, Brian Avants, Paul A. Yushkevich, C. Bloch, Jatinder Saini, Tony Wong and Stephen R. Bowen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Nuclear Fusion, Physica Medica 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.