Rachel G. Smith
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- Advanced Neuroimaging Techniques and Applications 4
- Cognitive Neuroscience top 1%
- Autism Spectrum Disorder Research 4
- Neurology top 2%
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- Medical Image Segmentation Techniques 4
- Neurology top 2%
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- Fetal and Pediatric Neurological Disorders 5
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- Fluorine in Organic Chemistry 4
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- Inorganic Fluorides and Related Compounds 3
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- Genomic variations and chromosomal abnormalities 3
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- Morphological variations and asymmetry 3
- Co-authors
- Heather C. HazlettGuido GerigJoseph PivenJames C. GeePaul A. YushkevichSean HoMichele D. PoeMartin Styner
- Journals
- Journal of the American Chemical Society (2 papers)NeuroImage (4 papers)American Journal of Psychiatry (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Rachel G. Smith
21 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Radiology, Nuclear Medicine and Imaging 2.8k
- Cognitive Neuroscience 1.7k
- Neurology 398
- Computer Vision and Pattern Recognition 811
- Neurology 599
Countries citing papers authored by Rachel G. Smith
This map shows the geographic impact of Rachel G. Smith'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 Rachel G. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel G. Smith more than expected).
Fields of papers citing papers by Rachel G. Smith
This network shows the impact of papers produced by Rachel G. Smith. 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 Rachel G. Smith. The network helps show where Rachel G. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel G. Smith, 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 | 2016 | 31 | |
| 2 | 2013 | 16 | |
| 3 | 2012 | 17 | |
| 4 | 2012 | 23 | |
| 5 | 2012 | 20 | |
| 6 | 2012 | 4 | |
| 7 | 2011 | 39 | |
| 8 | 2011 | 323 | |
| 9 | 2011 | 17 | |
| 10 | 2011 | 6 | |
| 11 | 2007 | 56 | |
| 12 | 2007 | 2 | |
| 13 | User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliabilitybreakdown → | 2006 | 6375 |
| 14 | 2006 | 22 | |
| 15 | 2005 | 137 | |
| 16 | 2005 | 19 | |
| 17 | 2005 | 483 | |
| 18 | 2002 | 3 | |
| 19 | 2001 | 23 | |
| 20 | 1999 | 15 |
About Rachel G. Smith
Rachel G. Smith is a scholar working on Pharmaceutical Science, Cognitive Neuroscience and Geometry and Topology, having authored 22 papers that have together received 7.7k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (5 papers), Medical Image Segmentation Techniques (4 papers), Fluorine in Organic Chemistry (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Autism Spectrum Disorder Research (4 papers), Inorganic Fluorides and Related Compounds (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Cognitive Neuroscience (1.7k citations) and Neurology (398 citations). Rachel G. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Heather C. Hazlett, Guido Gerig, Joseph Piven, James C. Gee, Paul A. Yushkevich, Sean Ho, Michele D. Poe, Martin Styner, John H. Gilmore and Allison Kinder Ross. Their work appears in journals such as Journal of the American Chemical Society, NeuroImage and American Journal of Psychiatry.
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.