Benjamin Kandel
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in ⓘ
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- Functional Brain Connectivity Studies 7
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- Advanced Neuroimaging Techniques and Applications 5
- Co-authors
- James C. Gee (11 shared papers)Brian Avants (10 shared papers)Nicholas J. Tustison (2 shared papers)Philip A. Cook (2 shared papers)Sandhitsu R. Das (2 shared papers)Arno Klein (1 shared paper)Jeffrey Duda (1 shared paper)James R. Stone (1 shared paper)
- Journals
- NeuroImage (2 papers)Methods (1 paper)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)Journal of Alzheimer s Disease (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Benjamin Kandel
11 papers receiving 840 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Neurology 246
- Cognitive Neuroscience 294
- Radiology, Nuclear Medicine and Imaging 333
- Psychiatry and Mental health 179
- Computer Vision and Pattern Recognition 197
Countries citing papers authored by Benjamin Kandel
This map shows the geographic impact of Benjamin Kandel'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 Benjamin Kandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Kandel more than expected).
Fields of papers citing papers by Benjamin Kandel
This network shows the impact of papers produced by Benjamin Kandel. 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 Benjamin Kandel. The network helps show where Benjamin Kandel may publish in the future.
Co-authors
The 24 scholars most cited alongside Benjamin Kandel, 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 | Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements Hit paper breakdown → | 2014 | 465 |
| 2 | 2014 | 195 | |
| 3 | 2016 | 74 | |
| 4 | 2016 | 24 | |
| 5 | 2015 | 24 | |
| 6 | 2013 | 20 | |
| 7 | 2012 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2014 | 11 | |
| 10 | 2014 | 11 | |
| 11 | 2014 | 1 |
About Benjamin Kandel
Benjamin Kandel is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Physiology and Psychiatry and Mental health, having authored 11 papers that have together received 855 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (3 papers), Alzheimer's disease research and treatments (2 papers), Dementia and Cognitive Impairment Research (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Brain Tumor Detection and Classification (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Neurology (246 citations), Cognitive Neuroscience (294 citations), Radiology, Nuclear Medicine and Imaging (333 citations), Psychiatry and Mental health (179 citations) and Computer Vision and Pattern Recognition (197 citations). Benjamin Kandel has collaborated with scholars based in United States and France. Frequent co-authors include James C. Gee, Brian Avants, Nicholas J. Tustison, Philip A. Cook, Sandhitsu R. Das, Arno Klein, Jeffrey Duda, James R. Stone, Gang Song and Murray Grossman. Their work appears in journals such as NeuroImage, Methods, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal of Alzheimer s Disease and Neuroscience.
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.