James M. Coggins
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 5%
- Epidemiology
- Media Technology top 10%
- Co-authors
- Anil K. JainKenneth L. CohenNancy K. TripoliStephen M. PizerBryan S. MorseDaniel FritschChristina A. BurbeckField F. Willingham
- Topics
- Image Retrieval and Classification Techniques (8 papers)Medical Image Segmentation Techniques (7 papers)Glaucoma and retinal disorders (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionOphthalmologyRadiology, Nuclear Medicine and Imaging
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsAmerican Journal of OphthalmologyPattern Recognition Letters
- Partner nations
- United States
In The Last Decade
James M. Coggins
18 papers receiving 340 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 225
- Radiology, Nuclear Medicine and Imaging 96
- Ophthalmology 62
- Epidemiology 52
- Media Technology 36
Countries citing papers authored by James M. Coggins
This map shows the geographic impact of James M. Coggins'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 James M. Coggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Coggins more than expected).
Fields of papers citing papers by James M. Coggins
This network shows the impact of papers produced by James M. Coggins. 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 James M. Coggins. The network helps show where James M. Coggins may publish in the future.
Co-authorship network of co-authors of James M. Coggins
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Coggins. A scholar is included among the top collaborators of James M. Coggins 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 James M. Coggins. James M. Coggins 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 | 16 | |
| 3 | 33 | |
| 4 | 34 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | The Effects of Magnetic Resonance Image Inhomogeneities on Automated Tissue Classification | 2 |
| 9 | 58 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | Integrated Class Structures for Image Pattern Recognition and Computer Graphics | 2 |
| 17 | 156 | |
| 18 | 24 |
About James M. Coggins
James M. Coggins is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Biophysics, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Medical Image Segmentation Techniques (7 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (225 citations), Ophthalmology (62 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). James M. Coggins has collaborated with scholars based in United States. Frequent co-authors include Anil K. Jain, Kenneth L. Cohen, Nancy K. Tripoli, Stephen M. Pizer, Bryan S. Morse, Daniel Fritsch, Christina A. Burbeck, Field F. Willingham, John W. Ogle and Stephen Aylward. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Ophthalmology and Pattern Recognition Letters.
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.