Kenneth R. Persons
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Bradley J. EricksonArmando ManducaNicholas J. HangiandreouFranklin EarnestChristopher J. RothThomas E. HartmanE M JamesDavid Clunie
- Topics
- Advanced Data Compression Techniques (8 papers)Digital Radiography and Breast Imaging (7 papers)Image and Signal Denoising Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesAustralia
In The Last Decade
Kenneth R. Persons
20 papers receiving 360 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 171
- Radiology, Nuclear Medicine and Imaging 164
- Pulmonary and Respiratory Medicine 112
- Artificial Intelligence 112
- Biomedical Engineering 42
Countries citing papers authored by Kenneth R. Persons
This map shows the geographic impact of Kenneth R. Persons'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 Kenneth R. Persons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Persons more than expected).
Fields of papers citing papers by Kenneth R. Persons
This network shows the impact of papers produced by Kenneth R. Persons. 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 Kenneth R. Persons. The network helps show where Kenneth R. Persons may publish in the future.
Co-authorship network of co-authors of Kenneth R. Persons
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Persons. A scholar is included among the top collaborators of Kenneth R. Persons 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 Kenneth R. Persons. Kenneth R. Persons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 37 | |
| 3 | 30 | |
| 4 | 31 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 41 | |
| 14 | 87 | |
| 15 | 44 | |
| 16 | 29 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 1 |
About Kenneth R. Persons
Kenneth R. Persons is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (8 papers), Digital Radiography and Breast Imaging (7 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Health Informatics (10 citations) and Radiology, Nuclear Medicine and Imaging (164 citations). Kenneth R. Persons has collaborated with scholars based in United States and Australia. Frequent co-authors include Bradley J. Erickson, Armando Manduca, Nicholas J. Hangiandreou, Franklin Earnest, Christopher J. Roth, Thomas E. Hartman, E M James, David Clunie, L R Brown and Frank Earnest. Their work appears in journals such as Radiology, American Journal of Roentgenology and Journal of Digital Imaging.
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.