Michael D. Heath
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
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- Digital Radiography and Breast Imaging 5
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- Medical Imaging Techniques and Applications 6
- Co-authors
- Kevin W. Bowyer (5 shared papers)Roscoe M. Moore (1 shared paper)D B Kopans (1 shared paper)Thomas Sanocki (4 shared papers)Sudeep Sarkar (4 shared papers)Aaron Cohen‐Gadol (1 shared paper)Jing Shan (5 shared papers)Jianping Lü (5 shared papers)
- Journals
- Journal of Experimental Psychology Human Perception & Performance (2 papers)Physics in Medicine and Biology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)British Journal of Neurosurgery (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Michael D. Heath
14 papers receiving 1.2k citations
Michael D. Heath's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 789
- Artificial Intelligence 633
- Radiology, Nuclear Medicine and Imaging 379
- Media Technology 139
- Neurology 55
Countries citing papers authored by Michael D. Heath
This map shows the geographic impact of Michael D. Heath'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 Michael D. Heath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Heath more than expected).
Fields of papers citing papers by Michael D. Heath
This network shows the impact of papers produced by Michael D. Heath. 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 Michael D. Heath. The network helps show where Michael D. Heath may publish in the future.
Co-authors
The 22 scholars most cited alongside Michael D. Heath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY Hit paper breakdown → | 2007 | 656 |
| 2 | 1997 | 358 | |
| 3 | 1996 | 132 | |
| 4 | 1998 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2012 | 23 | |
| 7 | 2013 | 18 | |
| 8 | 2006 | 9 | |
| 9 | 2001 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2016 | 5 | |
| 12 | 1998 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2009 | 4 |
About Michael D. Heath
Michael D. Heath is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation and Biomedical Engineering, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (5 papers), Advanced Radiotherapy Techniques (3 papers), Image and Object Detection Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (789 citations), Artificial Intelligence (633 citations), Radiology, Nuclear Medicine and Imaging (379 citations), Media Technology (139 citations) and Neurology (55 citations). Michael D. Heath has collaborated with scholars based in United States and Canada. Frequent co-authors include Kevin W. Bowyer, Roscoe M. Moore, D B Kopans, Thomas Sanocki, Sudeep Sarkar, Aaron Cohen‐Gadol, Jing Shan, Jianping Lü, Yueh Z. Lee and David H. Foos. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Physics in Medicine and Biology, IEEE Transactions on Pattern Analysis and Machine Intelligence, British Journal of Neurosurgery and International Journal of Pattern Recognition and Artificial Intelligence.
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.