Andrew Michael
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
-
- Functional Brain Connectivity Studies 8
- Neuroscience and Music Perception 2
-
- Blind Source Separation Techniques 2
- Co-authors
- Vince D. Calhoun (9 shared papers)Nathan D. Cahill (2 shared papers)Vincent P. Clark (2 shared papers)Shagan Sah (1 shared paper)Chao Zhang (1 shared paper)Felipe Petroski Such (1 shared paper)Raymond Ptucha (1 shared paper)Godfrey D. Pearlson (2 shared papers)
- Journals
- NeuroImage (3 papers)Cerebral Cortex (2 papers)Schizophrenia Bulletin (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Andrew Michael
17 papers receiving 493 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 268
- Computational Mathematics 4
- Psychiatry and Mental health 80
- Signal Processing 23
- Biological Psychiatry 3
Countries citing papers authored by Andrew Michael
This map shows the geographic impact of Andrew Michael'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 Andrew Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Michael more than expected).
Fields of papers citing papers by Andrew Michael
This network shows the impact of papers produced by Andrew Michael. 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 Andrew Michael. The network helps show where Andrew Michael may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Michael, 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 | 2009 | 116 | |
| 2 | 2017 | 108 | |
| 3 | 2021 | 56 | |
| 4 | 2012 | 51 | |
| 5 | 2015 | 38 | |
| 6 | 2010 | 36 | |
| 7 | 2013 | 31 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 15 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2011 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2008 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Andrew Michael
Andrew Michael is a scholar working on Cognitive Neuroscience, Signal Processing, Neurology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Blind Source Separation Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Image and Signal Denoising Methods (2 papers), Neuroscience and Music Perception (2 papers), Toxic Organic Pollutants Impact (1 paper), Schizophrenia research and treatment (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Cognitive Neuroscience (268 citations), Computational Mathematics (4 citations), Psychiatry and Mental health (80 citations), Signal Processing (23 citations) and Biological Psychiatry (3 citations). Andrew Michael has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Vince D. Calhoun, Nathan D. Cahill, Vincent P. Clark, Shagan Sah, Chao Zhang, Felipe Petroski Such, Raymond Ptucha, Godfrey D. Pearlson, Oguz Demirci and Nancy C. Andreasen. Their work appears in journals such as NeuroImage, Cerebral Cortex, Schizophrenia Bulletin, IEEE Journal of Selected Topics in Signal Processing and Journal of Cerebral Blood Flow & Metabolism.
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.