Michael P. Eckert
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- Image and Signal Denoising Methods 3
- Advanced Vision and Imaging 2
- Media Technology top 5%
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 2
- Visual perception and processing mechanisms 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Radiation Dose and Imaging 3
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- Digital Radiography and Breast Imaging 6
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- Advanced X-ray and CT Imaging 3
- Co-authors
- Andrew P. BradleyGershon BuchsbaumAndrew B. WatsonDev P. ChakrabortyGregory A. CarterAnthony MaederRobert HeardDonald McLean
- Journals
- Journal of the Optical Society of America A (3 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Michael P. Eckert
15 papers receiving 401 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 290
- Media Technology 99
- Cognitive Neuroscience 122
- Computer Graphics and Computer-Aided Design 18
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Michael P. Eckert
This map shows the geographic impact of Michael P. Eckert'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 P. Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Eckert more than expected).
Fields of papers citing papers by Michael P. Eckert
This network shows the impact of papers produced by Michael P. Eckert. 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 P. Eckert. The network helps show where Michael P. Eckert may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Michael P. Eckert, 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 | 2000 | 5 | |
| 2 | New Approaches in Medical Image Analysis | 1999 | 3 |
| 3 | 1999 | 4 | |
| 4 | 1998 | 242 | |
| 5 | 1997 | 2 | |
| 6 | 1997 | 6 | |
| 7 | 1997 | 2 | |
| 8 | 1995 | 30 | |
| 9 | 1995 | 3 | |
| 10 | 1994 | 2 | |
| 11 | 1994 | 49 | |
| 12 | The significance of eye movements and image acceleration for coding television image sequences | 1993 | 34 |
| 13 | 1993 | 33 | |
| 14 | 1993 | 7 | |
| 15 | 1992 | 17 | |
| 16 | Separability of spatiotemporal spectra of image sequences. Ph.D. Thesis | 1992 | 0 |
About Michael P. Eckert
Michael P. Eckert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Neurology, having authored 16 papers that have together received 439 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Image and Signal Denoising Methods (3 papers), Radiation Dose and Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Media Technology (99 citations), Cognitive Neuroscience (122 citations), Computer Graphics and Computer-Aided Design (18 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Michael P. Eckert has collaborated with scholars based in United States and Australia. Frequent co-authors include Andrew P. Bradley, Gershon Buchsbaum, Andrew B. Watson, Dev P. Chakraborty, Gregory A. Carter, Anthony Maeder, Robert Heard and Donald McLean. Their work appears in journals such as Journal of the Optical Society of America A, Philosophical Transactions of the Royal Society B Biological Sciences, Medical Physics, Signal Processing and IEEE Transactions on Pattern Analysis and Machine 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.