Ashley Tarokh
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Medical Image Segmentation Techniques 2
- Digital Imaging for Blood Diseases 1
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- Advanced MRI Techniques and Applications 3
- MRI in cancer diagnosis 1
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Stephen T.C. Wong (6 shared papers)Tianming Liu (5 shared papers)Lei Guo (5 shared papers)Jingxin Nie (4 shared papers)Hai Li (1 shared paper)Kelvin Wong (1 shared paper)Gang Li (3 shared papers)Scott A. Holley (1 shared paper)
- Journals
- NeuroImage (2 papers)Radio Science (1 paper)Neuroinformatics (1 paper)Computerized Medical Imaging and Graphics (1 paper)BMC Cell Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ashley Tarokh
7 papers receiving 380 citations
Peers
Comparison fields: 5 of 69
- Biophysics 110
- Computational Mathematics 5
- Radiology, Nuclear Medicine and Imaging 161
- Cognitive Neuroscience 102
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Ashley Tarokh
This map shows the geographic impact of Ashley Tarokh'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 Ashley Tarokh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley Tarokh more than expected).
Fields of papers citing papers by Ashley Tarokh
This network shows the impact of papers produced by Ashley Tarokh. 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 Ashley Tarokh. The network helps show where Ashley Tarokh may publish in the future.
Co-authors
The 17 scholars most cited alongside Ashley Tarokh, 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 | 2007 | 125 | |
| 2 | 2007 | 118 | |
| 3 | 2008 | 63 | |
| 4 | 2008 | 32 | |
| 5 | 2004 | 20 | |
| 6 | 2007 | 18 | |
| 7 | 2007 | 8 | |
| 8 | 2006 | 0 |
About Ashley Tarokh
Ashley Tarokh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biophysics and Computer Networks and Communications, having authored 8 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Digital Imaging for Blood Diseases (1 paper), MRI in cancer diagnosis (1 paper), Geophysical and Geoelectrical Methods (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Biophysics (110 citations), Computational Mathematics (5 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Cognitive Neuroscience (102 citations) and Computer Vision and Pattern Recognition (94 citations). Ashley Tarokh has collaborated with scholars based in United States and China. Frequent co-authors include Stephen T.C. Wong, Tianming Liu, Lei Guo, Jingxin Nie, Hai Li, Kelvin Wong, Gang Li, Scott A. Holley, Andrew Mara and Eric L. Miller. Their work appears in journals such as NeuroImage, Radio Science, Neuroinformatics, Computerized Medical Imaging and Graphics and BMC Cell Biology.
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.