John Guttag
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 2
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- Epilepsy research and treatment 4
- Co-authors
- Ali ShoebBlaise F. D. BourgeoisS. Ted TrevesSteven C. SchachterAlaa KharbouchTrudy PangSydney S. CashDonald L. Schomer
- Journals
- Epilepsy & Behavior (4 papers)International Journal of Neural Systems (1 paper)Conference proceedings (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)PubMed (3 papers)
- Partner nations
- United States
In The Last Decade
John Guttag
12 papers receiving 590 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 507
- Signal Processing 245
- Psychiatry and Mental health 130
- Cellular and Molecular Neuroscience 155
- Cardiology and Cardiovascular Medicine 103
Countries citing papers authored by John Guttag
This map shows the geographic impact of John Guttag'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 John Guttag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Guttag more than expected).
Fields of papers citing papers by John Guttag
This network shows the impact of papers produced by John Guttag. 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 John Guttag. The network helps show where John Guttag may publish in the future.
Co-authors
The 20 scholars most cited alongside John Guttag, 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 | 2024 | 1 | |
| 2 | 2011 | 43 | |
| 3 | 2011 | 69 | |
| 4 | 2011 | 8 | |
| 5 | 2009 | 37 | |
| 6 | 2009 | 73 | |
| 7 | 2008 | 14 | |
| 8 | 2007 | 16 | |
| 9 | 2007 | 2 | |
| 10 | 2005 | 65 | |
| 11 | 2005 | 30 | |
| 12 | 2005 | 8 | |
| 13 | 2004 | 247 |
About John Guttag
John Guttag is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Neurology, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 613 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), ECG Monitoring and Analysis (4 papers), Epilepsy research and treatment (4 papers), Phonocardiography and Auscultation Techniques (3 papers), Neural dynamics and brain function (2 papers), Vagus Nerve Stimulation Research (2 papers), Neuroscience and Neural Engineering (2 papers) and Emotion and Mood Recognition (1 paper). The work is most often cited by research in Cognitive Neuroscience (507 citations), Signal Processing (245 citations), Psychiatry and Mental health (130 citations), Cellular and Molecular Neuroscience (155 citations) and Cardiology and Cardiovascular Medicine (103 citations). John Guttag has collaborated with scholars based in United States. Frequent co-authors include Ali Shoeb, Blaise F. D. Bourgeois, S. Ted Treves, Steven C. Schachter, Alaa Kharbouch, Trudy Pang, Sydney S. Cash, Donald L. Schomer, Helen Edwards and James L. Connolly. Their work appears in journals such as Epilepsy & Behavior, International Journal of Neural Systems, Conference proceedings, DSpace@MIT (Massachusetts Institute of Technology) and PubMed.
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.