Stanley R. Deans
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Nuclear and High Energy Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Da Hsuan FengRobert GilmoreJohn HeineLaurence P. ClarkeW. G. HolladayRobert P. VelthuizenH. R. HicksRichard W. Mitchell
- Topics
- Quantum Chromodynamics and Particle Interactions (7 papers)Image and Signal Denoising Methods (6 papers)Particle physics theoretical and experimental studies (6 papers)
- Journals
- Physical Review LettersIEEE Transactions on Pattern Analysis and Machine IntelligenceNuclear Physics B
- Partner nations
- United States
In The Last Decade
Stanley R. Deans
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 683
- Radiology, Nuclear Medicine and Imaging 428
- Biomedical Engineering 282
- Nuclear and High Energy Physics 263
- Atomic and Molecular Physics, and Optics 208
Countries citing papers authored by Stanley R. Deans
This map shows the geographic impact of Stanley R. Deans'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 Stanley R. Deans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley R. Deans more than expected).
Fields of papers citing papers by Stanley R. Deans
This network shows the impact of papers produced by Stanley R. Deans. 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 Stanley R. Deans. The network helps show where Stanley R. Deans may publish in the future.
Co-authorship network of co-authors of Stanley R. Deans
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley R. Deans. A scholar is included among the top collaborators of Stanley R. Deans 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 Stanley R. Deans. Stanley R. Deans 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 | 69 | |
| 3 | 16 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 44 | |
| 7 | The Radon Transform | 7 |
| 8 | Book-Review - the Radon Transform and Some of its Applications | 2 |
| 9 | 159 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 28 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 13 |
About Stanley R. Deans
Stanley R. Deans is a scholar working on Nuclear and High Energy Physics, Media Technology and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (7 papers), Image and Signal Denoising Methods (6 papers) and Particle physics theoretical and experimental studies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (683 citations), Structural Biology (30 citations) and Nuclear and High Energy Physics (263 citations). Stanley R. Deans has collaborated with scholars based in United States. Frequent co-authors include Da Hsuan Feng, Robert Gilmore, John Heine, Laurence P. Clarke, W. G. Holladay, Robert P. Velthuizen, H. R. Hicks, Richard W. Mitchell, Ronald E. Mickens and Bruce W. Suter. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nuclear Physics B.
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.