Adam P. Harrison
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)AI in cancer detection (5 papers)Advanced Neural Network Applications (5 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingMedical Physics
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Adam P. Harrison
26 papers receiving 554 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 338
- Computer Vision and Pattern Recognition 269
- Artificial Intelligence 197
- Biomedical Engineering 96
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Adam P. Harrison
This map shows the geographic impact of Adam P. Harrison'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 Adam P. Harrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam P. Harrison more than expected).
Fields of papers citing papers by Adam P. Harrison
This network shows the impact of papers produced by Adam P. Harrison. 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 Adam P. Harrison. The network helps show where Adam P. Harrison may publish in the future.
Co-authorship network of co-authors of Adam P. Harrison
This figure shows the co-authorship network connecting the top 25 collaborators of Adam P. Harrison. A scholar is included among the top collaborators of Adam P. Harrison 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 Adam P. Harrison. Adam P. Harrison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 33 | |
| 8 | 22 | |
| 9 | 46 | |
| 10 | 19 | |
| 11 | 43 | |
| 12 | 229 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | Virtual Reected-Light Microscopy | 0 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Driving problems in patients with rheumatoid arthritis. | 20 |
About Adam P. Harrison
Adam P. Harrison is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 568 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (338 citations), Computer Vision and Pattern Recognition (269 citations) and Health Informatics (17 citations). Adam P. Harrison has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Le Lü, Holger R. Roth, Amal Farag, Ronald M. Summers, Nathan Lay, Andrew Sohn, Jing Xiao, Dakai Jin, Shun Miao and Tsung‐Ying Ho. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Physics.
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.