Michael D. Heath

5.4k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Michael D. Heath is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael D. Heath has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael D. Heath's work include Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (5 papers) and Image and Object Detection Techniques (3 papers). Michael D. Heath is often cited by papers focused on Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (5 papers) and Image and Object Detection Techniques (3 papers). Michael D. Heath collaborates with scholars based in United States and Canada. Michael D. Heath's co-authors include Kevin W. Bowyer, D B Kopans, Roscoe M. Moore, Thomas Sanocki, Sudeep Sarkar, Aaron Cohen‐Gadol, David H. Foos, Yueh Z. Lee, Otto Zhou and Jianping Lü and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Experimental Psychology Human Perception & Performance and Physics in Medicine and Biology.

In The Last Decade

Michael D. Heath

14 papers receiving 1.2k citations

Hit Papers

THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Heath United States 8 789 633 379 139 129 14 1.3k
Camel Tanougast France 23 838 1.1× 477 0.8× 273 0.7× 87 0.6× 45 0.3× 154 1.8k
Hidefumi Kobatake Japan 19 705 0.9× 454 0.7× 481 1.3× 71 0.5× 131 1.0× 100 1.1k
D. Brzaković United States 13 407 0.5× 382 0.6× 294 0.8× 87 0.6× 233 1.8× 50 804
Shahriar B. Shokouhi Iran 14 444 0.6× 425 0.7× 257 0.7× 93 0.7× 38 0.3× 87 1.0k
Xieping Gao China 22 933 1.2× 529 0.8× 556 1.5× 209 1.5× 39 0.3× 131 1.9k
Bingzhi Chen China 12 642 0.8× 480 0.8× 432 1.1× 84 0.6× 93 0.7× 25 1.3k
Siti Noraini Sulaiman Malaysia 15 379 0.5× 369 0.6× 137 0.4× 137 1.0× 54 0.4× 106 932
Changhao Sun China 13 405 0.5× 639 1.0× 423 1.1× 118 0.8× 46 0.4× 23 1.0k
Yongzhao Du China 21 495 0.6× 368 0.6× 215 0.6× 115 0.8× 23 0.2× 67 1.1k
Hideki Nakayama Japan 16 702 0.9× 650 1.0× 234 0.6× 55 0.4× 55 0.4× 78 1.2k

Countries citing papers authored by Michael D. Heath

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael D. Heath

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Heath. A scholar is included among the top collaborators of Michael D. Heath 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 Michael D. Heath. Michael D. Heath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shan, Jing, Yueh Z. Lee, Otto Zhou, et al.. (2016). Initial clinical evaluation of stationary digital chest tomosynthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 978366–978366. 5 indexed citations
2.
Shan, Jing, Yueh Z. Lee, Michael D. Heath, et al.. (2015). Prospective gated chest tomosynthesis using CNT X-ray source array. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 941242–941242. 4 indexed citations
3.
Shan, Jing, Alexander W. Tucker, Yueh Z. Lee, et al.. (2014). Stationary chest tomosynthesis using a carbon nanotube x-ray source array: a feasibility study. Physics in Medicine and Biology. 60(1). 81–100. 33 indexed citations
4.
Shan, Jing, Alexander W. Tucker, Yueh Z. Lee, et al.. (2014). Evaluation of imaging geometry for stationary chest tomosynthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 903317–903317. 7 indexed citations
5.
Shan, Jing, Alexander W. Tucker, Yueh Z. Lee, et al.. (2013). Stationary chest tomosynthesis using a CNT x-ray source array. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86680E–86680E. 18 indexed citations
6.
Heath, Michael D. & Aaron Cohen‐Gadol. (2012). Intraoperative stereoscopic 3D video imaging: pushing the boundaries of surgical visualisation and applications for neurosurgical education. British Journal of Neurosurgery. 26(5). 662–667. 23 indexed citations
7.
Schildkraut, Jay S., Michael D. Heath, Walter G. O’Dell, et al.. (2009). Level-set segmentation of pulmonary nodules in radiographs using a CT prior. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7259. 72593B–72593B. 4 indexed citations
8.
Heath, Michael D., Kevin W. Bowyer, D B Kopans, & Roscoe M. Moore. (2007). THE DIGITAL DATABASE FOR SCREENING MAMMOGRAPHY. 656 indexed citations breakdown →
9.
Metter, Richard Van, et al.. (2006). Applying the European protocol for the quality control of the physical and technical aspects of mammography screening threshold contrast visibility assessment to digital systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6142. 614205–614205. 9 indexed citations
10.
Fink, Eugene & Michael D. Heath. (2001). IMAGE-PROCESSING PROJECTS FOR AN ALGORITHMS COURSE. International Journal of Pattern Recognition and Artificial Intelligence. 15(5). 859–868. 7 indexed citations
11.
Sanocki, Thomas, Kevin W. Bowyer, Michael D. Heath, & Sudeep Sarkar. (1998). Are edges sufficient for object recognition?. Journal of Experimental Psychology Human Perception & Performance. 24(1). 340–349. 5 indexed citations
12.
Sanocki, Thomas, Kevin W. Bowyer, Michael D. Heath, & Sudeep Sarkar. (1998). Are edges sufficient for object recognition?. Journal of Experimental Psychology Human Perception & Performance. 24(1). 340–349. 34 indexed citations
13.
Heath, Michael D., Sudeep Sarkar, Thomas Sanocki, & Kevin W. Bowyer. (1997). A robust visual method for assessing the relative performance of edge-detection algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(12). 1338–1359. 358 indexed citations
14.
Heath, Michael D., Sudeep Sarkar, Thomas Sanocki, & Kevin W. Bowyer. (1996). Comparison of edge detectors: a methodology and initial study. 143–148. 132 indexed citations

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.

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