Scott Neu
Impact in
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- Scientific Computing and Data Management
Papers in
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- Medical Imaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Karen Crawford (7 shared papers)Arthur W. Toga (6 shared papers)Arthur W. Toga (4 shared papers)Priya Bhatt (2 shared papers)Naveen Ashish (2 shared papers)Daniel J. Valentino (3 shared papers)G. J. Morales (3 shared papers)Xu Yuan (1 shared paper)
- Journals
- Alzheimer s & Dementia (3 papers)NeuroImage (3 papers)Frontiers in Neuroinformatics (2 papers)Physics of Plasmas (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Scott Neu
13 papers receiving 138 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 7
- Information Systems and Management 21
- Psychiatry and Mental health 27
- Biophysics 10
- Cognitive Neuroscience 33
Countries citing papers authored by Scott Neu
This map shows the geographic impact of Scott Neu'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 Scott Neu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Neu more than expected).
Fields of papers citing papers by Scott Neu
This network shows the impact of papers produced by Scott Neu. 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 Scott Neu. The network helps show where Scott Neu may publish in the future.
Co-authors
The 9 scholars most cited alongside Scott Neu, 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 | 2015 | 36 | |
| 2 | 2015 | 35 | |
| 3 | 2005 | 19 | |
| 4 | 2015 | 13 | |
| 5 | 2012 | 8 | |
| 6 | 2008 | 8 | |
| 7 | 2015 | 6 | |
| 8 | 2002 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 1995 | 2 | |
| 12 | 2003 | 2 | |
| 13 | Computer simulation of non-neutral plasma column | 1997 | 1 |
| 14 | 1997 | 0 | |
| 15 | 1995 | 0 |
About Scott Neu
Scott Neu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cognitive Neuroscience, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 139 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Medical Imaging Techniques and Applications (3 papers), AI in cancer detection (2 papers), Advanced MRI Techniques and Applications (2 papers), Dementia and Cognitive Impairment Research (2 papers), Medical Image Segmentation Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Health Informatics (7 citations), Information Systems and Management (21 citations), Psychiatry and Mental health (27 citations), Biophysics (10 citations) and Cognitive Neuroscience (33 citations). Scott Neu has collaborated with scholars based in United States. Frequent co-authors include Karen Crawford, Arthur W. Toga, Arthur W. Toga, Priya Bhatt, Naveen Ashish, Daniel J. Valentino, G. J. Morales, Xu Yuan and Jack Sklansky. Their work appears in journals such as Alzheimer s & Dementia, NeuroImage, Frontiers in Neuroinformatics, Physics of Plasmas and Physical Review Letters.
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.