Matthew A. Deeley
- Radiology, Nuclear Medicine and Imaging top 5%
- Radiation top 2%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Arnold W. MalcolmAnthony J. CmelakG DingDennis M. DugganDennis E. HallahanCharles W. CoffeyBenoît M. DawantK.J. Niermann
- Topics
- Medical Image Segmentation Techniques (7 papers)Advanced Radiotherapy Techniques (7 papers)Medical Imaging and Analysis (5 papers)
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsPhysics in Medicine and BiologyMedical Physics
- Partner nations
- United StatesBelgium
In The Last Decade
Matthew A. Deeley
15 papers receiving 433 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 321
- Radiation 276
- Biomedical Engineering 162
- Pulmonary and Respiratory Medicine 125
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Matthew A. Deeley
This map shows the geographic impact of Matthew A. Deeley'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 Matthew A. Deeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Deeley more than expected).
Fields of papers citing papers by Matthew A. Deeley
This network shows the impact of papers produced by Matthew A. Deeley. 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 Matthew A. Deeley. The network helps show where Matthew A. Deeley may publish in the future.
Co-authorship network of co-authors of Matthew A. Deeley
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Deeley. A scholar is included among the top collaborators of Matthew A. Deeley 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 Matthew A. Deeley. Matthew A. Deeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 100 | |
| 6 | 29 | |
| 7 | 7 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 157 | |
| 11 | 72 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 |
About Matthew A. Deeley
Matthew A. Deeley is a scholar working on Radiation, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 445 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Radiotherapy Techniques (7 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Radiation (276 citations), Radiology, Nuclear Medicine and Imaging (321 citations) and Otorhinolaryngology (39 citations). Matthew A. Deeley has collaborated with scholars based in United States and Belgium. Frequent co-authors include Arnold W. Malcolm, Anthony J. Cmelak, G Ding, Dennis M. Duggan, Dennis E. Hallahan, Charles W. Coffey, Benoît M. Dawant, K.J. Niermann, Luigi Moretti and Antong Chen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology 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.