Brandon Whitcher
- Cognitive Neuroscience top 0.5%
- Finance top 0.5%
- Financial Risk and Volatility Modeling 10
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- Advanced MRI Techniques and Applications 18
- MRI in cancer diagnosis 17
- Radiomics and Machine Learning in Medical Imaging 17
- Advanced Neuroimaging Techniques and Applications 15
- Computational Mathematics top 5%
- Economics and Econometrics top 0.5%
- Complex Systems and Time Series Analysis 12
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- Genetic Associations and Epidemiology 12
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- Image and Signal Denoising Methods 11
- Co-authors
- Faruk Selçuk∥Ramazan GençayEdward T. BullmoreJohn SucklingRaymond SalvadorSophie AchardDonald B. PercivalPeter Guttorp
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Brandon Whitcher
95 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 2.4k
- Finance 1.1k
- Radiology, Nuclear Medicine and Imaging 2.2k
- Computational Mathematics 40
- Economics and Econometrics 1.7k
Countries citing papers authored by Brandon Whitcher
This map shows the geographic impact of Brandon Whitcher'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 Brandon Whitcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Whitcher more than expected).
Fields of papers citing papers by Brandon Whitcher
This network shows the impact of papers produced by Brandon Whitcher. 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 Brandon Whitcher. The network helps show where Brandon Whitcher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brandon Whitcher, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 42 | |
| 9 | 2013 | 49 | |
| 10 | Working with the DICOM and NIfTI Data Standards in R | 2011 | 15 |
| 11 | Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R | 2011 | 5 |
| 12 | 2010 | 33 | |
| 13 | 2007 | 16 | |
| 14 | A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubsbreakdown → | 2006 | 1841 |
| 15 | Systematic Risk and Timescales | 2004 | 1 |
| 16 | Multiscale Systematic Risk | 2004 | 13 |
| 17 | An Introduction to Wavelets and Other Filtering Methods in Finance and Economics | 2001 | 17 |
| 18 | Wavelet-based estimation for seasonal long-memory processes | 2000 | 1 |
| 19 | 2000 | 34 | |
| 20 | Assessing nonstationary time series using wavelets | 1998 | 42 |
About Brandon Whitcher
Brandon Whitcher is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Finance, having authored 103 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (18 papers), MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Genetic Associations and Epidemiology (12 papers), Complex Systems and Time Series Analysis (12 papers), Image and Signal Denoising Methods (11 papers) and Financial Risk and Volatility Modeling (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Finance (1.1k citations) and Radiology, Nuclear Medicine and Imaging (2.2k citations). Brandon Whitcher has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Faruk Selçuk∥, Ramazan Gençay, Edward T. Bullmore, John Suckling, Raymond Salvador, Sophie Achard, Donald B. Percival, Peter Guttorp, Volker Schmid and Mark W. Woolrich. Their work appears in journals such as NeuroImage, Diabetes, Magnetic Resonance in Medicine, Obesity and Journal of Statistical Software.
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.