Katherine R. Gray
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Daniel RueckertAlexander HammersRolf A. HeckemannPaul AljabarTong TongLiang ChenQinquan GaoRobin Wolz
- Topics
- Dementia and Cognitive Impairment Research (8 papers)Medical Image Segmentation Techniques (7 papers)Brain Tumor Detection and Classification (7 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Katherine R. Gray
19 papers receiving 640 citations
Peers
Comparison fields: 5 of 79
- Psychiatry and Mental health 293
- Neurology 226
- Computer Vision and Pattern Recognition 171
- Radiology, Nuclear Medicine and Imaging 164
- Cognitive Neuroscience 137
Countries citing papers authored by Katherine R. Gray
This map shows the geographic impact of Katherine R. Gray'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 Katherine R. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine R. Gray more than expected).
Fields of papers citing papers by Katherine R. Gray
This network shows the impact of papers produced by Katherine R. Gray. 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 Katherine R. Gray. The network helps show where Katherine R. Gray may publish in the future.
Co-authorship network of co-authors of Katherine R. Gray
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine R. Gray. A scholar is included among the top collaborators of Katherine R. Gray 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 Katherine R. Gray. Katherine R. Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 186 | |
| 5 | 46 | |
| 6 | 27 | |
| 7 | 2 | |
| 8 | 47 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 131 | |
| 12 | Biomarker discovery for sparse classification of brain images in Alzheimer's disease | 21 |
| 13 | Fast brain-wide search of highly discriminative regions in medical images: an application to Alzheimer's disease | 3 |
| 14 | Regional Analysis of FDG-PET for the Classification of Alzheimers Disease. | 1 |
| 15 | 94 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 26 | |
| 19 | 1 |
About Katherine R. Gray
Katherine R. Gray is a scholar working on Neurology, Psychiatry and Mental health and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 646 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Medical Image Segmentation Techniques (7 papers) and Brain Tumor Detection and Classification (7 papers). The work is most often cited by research in Neurology (226 citations), Psychiatry and Mental health (293 citations) and Computer Vision and Pattern Recognition (171 citations). Katherine R. Gray has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Daniel Rueckert, Alexander Hammers, Rolf A. Heckemann, Paul Aljabar, Tong Tong, Liang Chen, Qinquan Gao, Robin Wolz, Joseph V. Hajnal and Shiva Keihaninejad. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.