S. Sandor-Leahy
- Neurology top 5%
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- Medical Imaging Techniques and Applications 1
- Cognitive Neuroscience top 10%
- Biophysics top 10%
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- Remote-Sensing Image Classification 6
- Advanced Image Fusion Techniques 1
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- Calibration and Measurement Techniques 3
- Infrared Target Detection Methodologies 2
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- Remote Sensing and Land Use 2
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- Geochemistry and Geologic Mapping 1
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- Remote Sensing in Agriculture 1
- Co-authors
- Richard M. LeahyDavid W. ShattuckKirt SchaperDavid A. RottenbergPeter J. JareckeMark A. FolkmanB. H. QuonJohn Shepanski
- Journals
- NeuroImage (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (4 papers)
- Partner nations
- United States
In The Last Decade
S. Sandor-Leahy
7 papers receiving 737 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 450
- Neurology 180
- Radiology, Nuclear Medicine and Imaging 316
- Cognitive Neuroscience 134
- Biophysics 34
Countries citing papers authored by S. Sandor-Leahy
This map shows the geographic impact of S. Sandor-Leahy'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 S. Sandor-Leahy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sandor-Leahy more than expected).
Fields of papers citing papers by S. Sandor-Leahy
This network shows the impact of papers produced by S. Sandor-Leahy. 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 S. Sandor-Leahy. The network helps show where S. Sandor-Leahy may publish in the future.
Co-authorship network
The 13 scholars most cited alongside S. Sandor-Leahy, 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 | 2019 | 2 | |
| 2 | 2006 | 1 | |
| 3 | 2005 | 0 | |
| 4 | 2002 | 0 | |
| 5 | 2002 | 1 | |
| 6 | Magnetic Resonance Image Tissue Classification Using a Partial Volume Modelbreakdown → | 2001 | 755 |
| 7 | 1999 | 2 | |
| 8 | 1998 | 3 | |
| 9 | 1997 | 6 |
About S. Sandor-Leahy
S. Sandor-Leahy is a scholar working on Media Technology, Atmospheric Science, Aerospace Engineering, Spectroscopy and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 770 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Calibration and Measurement Techniques (3 papers), Remote Sensing and Land Use (2 papers), Infrared Target Detection Methodologies (2 papers), Geochemistry and Geologic Mapping (1 paper), Remote Sensing in Agriculture (1 paper), Medical Imaging Techniques and Applications (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (450 citations), Neurology (180 citations), Radiology, Nuclear Medicine and Imaging (316 citations), Cognitive Neuroscience (134 citations) and Biophysics (34 citations). S. Sandor-Leahy has collaborated with scholars based in United States. Frequent co-authors include Richard M. Leahy, David W. Shattuck, Kirt Schaper, David A. Rottenberg, Peter J. Jarecke, Mark A. Folkman, B. H. Quon, John Shepanski, Mark W. Knight and Richard L. Davis. Their work appears in journals such as NeuroImage and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.