Bradley J. Erickson
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Artificial Intelligence top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Computer Vision and Pattern Recognition top 0.5%
- Co-authors
- Zeynettin AkkusPanagiotis KorfiatisTimothy L. KlineKenneth A. PhilbrickDaniel L. RubinAssaf HoogiAlfiia GalimzianovaAlexander D. Weston
- Topics
- Radiomics and Machine Learning in Medical Imaging (69 papers)AI in cancer detection (39 papers)Medical Imaging Techniques and Applications (29 papers)
- Journals
- CirculationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Bradley J. Erickson
263 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Radiology, Nuclear Medicine and Imaging 4.5k
- Artificial Intelligence 1.8k
- Pulmonary and Respiratory Medicine 1.5k
- Biomedical Engineering 1.4k
- Computer Vision and Pattern Recognition 1.4k
Countries citing papers authored by Bradley J. Erickson
This map shows the geographic impact of Bradley J. Erickson'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 Bradley J. Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley J. Erickson more than expected).
Fields of papers citing papers by Bradley J. Erickson
This network shows the impact of papers produced by Bradley J. Erickson. 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 Bradley J. Erickson. The network helps show where Bradley J. Erickson may publish in the future.
Co-authorship network of co-authors of Bradley J. Erickson
This figure shows the co-authorship network connecting the top 25 collaborators of Bradley J. Erickson. A scholar is included among the top collaborators of Bradley J. Erickson 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 Bradley J. Erickson. Bradley J. Erickson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 40 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | 81 | |
| 18 | 9 | |
| 19 | 48 | |
| 20 | 68 |
About Bradley J. Erickson
Bradley J. Erickson is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 280 papers that have together received 10.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (69 papers), AI in cancer detection (39 papers) and Medical Imaging Techniques and Applications (29 papers). The work is most often cited by research in Health Informatics (1.1k citations), Radiology, Nuclear Medicine and Imaging (4.5k citations) and Neurology (882 citations). Bradley J. Erickson has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Zeynettin Akkus, Panagiotis Korfiatis, Timothy L. Kline, Kenneth A. Philbrick, Daniel L. Rubin, Assaf Hoogi, Alfiia Galimzianova, Alexander D. Weston, Felipe Kitamura and Jan C. Buckner. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.