Daniel B. Rowe
Impact in
- Computational Mathematics top 5%
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
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- Functional Brain Connectivity Studies 30
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- Advanced MRI Techniques and Applications 34
- Advanced Neuroimaging Techniques and Applications 23
- Medical Imaging Techniques and Applications 5
- MRI in cancer diagnosis 5
- Co-authors
- Brent R. Logan (5 shared papers)James S. Hyde (3 shared papers)Kathleen M. Schmainda (1 shared paper)Hanbing Lu (1 shared paper)Kevin M. Bennett (1 shared paper)Andrew S. Nencka (9 shared papers)Andrew D. Hahn (5 shared papers)Luis Hernández-García (2 shared papers)
- Journals
- Magnetic Resonance Imaging (11 papers)NeuroImage (8 papers)Magnetic Resonance in Medicine (3 papers)Journal of the American Statistical Association (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Daniel B. Rowe
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Computational Mathematics 23
- Radiology, Nuclear Medicine and Imaging 835
- Cognitive Neuroscience 449
- Statistics and Probability 88
- Signal Processing 73
Countries citing papers authored by Daniel B. Rowe
This map shows the geographic impact of Daniel B. Rowe'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 Daniel B. Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Rowe more than expected).
Fields of papers citing papers by Daniel B. Rowe
This network shows the impact of papers produced by Daniel B. Rowe. 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 Daniel B. Rowe. The network helps show where Daniel B. Rowe may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Rowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 373 | |
| 2 | 2004 | 100 | |
| 3 | 2005 | 86 | |
| 4 | 2004 | 82 | |
| 5 | 2012 | 54 | |
| 6 | 2002 | 42 | |
| 7 | 2007 | 40 | |
| 8 | 2009 | 34 | |
| 9 | 2007 | 33 | |
| 10 | 2004 | 32 | |
| 11 | 2008 | 29 | |
| 12 | 2007 | 28 | |
| 13 | 2018 | 23 | |
| 14 | 2018 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2001 | 16 | |
| 17 | 2006 | 15 | |
| 18 | 2009 | 12 | |
| 19 | 2011 | 11 | |
| 20 | 2007 | 11 |
About Daniel B. Rowe
Daniel B. Rowe is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Signal Processing and General Decision Sciences, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (34 papers), Functional Brain Connectivity Studies (30 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Blind Source Separation Techniques (7 papers), Medical Imaging Techniques and Applications (5 papers), Statistical Methods and Inference (5 papers), MRI in cancer diagnosis (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Computational Mathematics (23 citations), Radiology, Nuclear Medicine and Imaging (835 citations), Cognitive Neuroscience (449 citations), Statistics and Probability (88 citations) and Signal Processing (73 citations). Daniel B. Rowe has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Brent R. Logan, James S. Hyde, Kathleen M. Schmainda, Hanbing Lu, Kevin M. Bennett, Andrew S. Nencka, Andrew D. Hahn, Luis Hernández-García, Hongtu Zhu and Joseph G. Ibrahim. Their work appears in journals such as Magnetic Resonance Imaging, NeuroImage, Magnetic Resonance in Medicine, Journal of the American Statistical Association and IEEE Transactions on Medical Imaging.
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.