Mìchael L. Rhodes
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Oral Surgery top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Allen KlingerStephen L. G. RothmanWilliam V. GlennNeil ChafetzM SchwarzJohn F. QuinnLeon L. WiltseJ.A. Silvester
- Topics
- Digital Image Processing Techniques (8 papers)Anatomy and Medical Technology (8 papers)Medical Image Segmentation Techniques (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSpineIEEE Transactions on Medical Imaging
- Partner nations
- United StatesGermany
In The Last Decade
Mìchael L. Rhodes
24 papers receiving 302 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 140
- Biomedical Engineering 80
- Oral Surgery 73
- Computer Graphics and Computer-Aided Design 51
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Mìchael L. Rhodes
This map shows the geographic impact of Mìchael L. Rhodes'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 Mìchael L. Rhodes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mìchael L. Rhodes more than expected).
Fields of papers citing papers by Mìchael L. Rhodes
This network shows the impact of papers produced by Mìchael L. Rhodes. 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 Mìchael L. Rhodes. The network helps show where Mìchael L. Rhodes may publish in the future.
Co-authorship network of co-authors of Mìchael L. Rhodes
This figure shows the co-authorship network connecting the top 25 collaborators of Mìchael L. Rhodes. A scholar is included among the top collaborators of Mìchael L. Rhodes 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 Mìchael L. Rhodes. Mìchael L. Rhodes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Physician use of electronic medical records: issues and successes with direct data entry and physician productivity. | 37 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 72 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | CT Image Processing Using Public Digital Networks. | 1 |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 8 | |
| 18 | 19 | |
| 19 | 0 | |
| 20 | 1 |
About Mìchael L. Rhodes
Mìchael L. Rhodes is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 344 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (8 papers), Anatomy and Medical Technology (8 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Oral Surgery (73 citations) and Medical Terminology (2 citations). Mìchael L. Rhodes has collaborated with scholars based in United States and Germany. Frequent co-authors include Allen Klinger, Stephen L. G. Rothman, William V. Glenn, Neil Chafetz, M Schwarz, John F. Quinn, Leon L. Wiltse, J.A. Silvester, Roger Slater and Spencer S. Jones. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Spine and IEEE Transactions on Medical 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.