John V. Guttag
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Electrical and Electronic Engineering
- Topics
- EEG and Brain-Computer Interfaces (4 papers)Blind Source Separation Techniques (3 papers)Epilepsy research and treatment (2 papers)
- Journals
- Science of Computer ProgrammingConference proceedingsPubMed
- Partner nations
- United StatesGermany
In The Last Decade
John V. Guttag
6 papers receiving 366 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 296
- Signal Processing 184
- Cardiology and Cardiovascular Medicine 81
- Artificial Intelligence 62
- Electrical and Electronic Engineering 57
Countries citing papers authored by John V. Guttag
This map shows the geographic impact of John V. 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 V. 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 V. Guttag more than expected).
Fields of papers citing papers by John V. Guttag
This network shows the impact of papers produced by John V. 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 V. Guttag. The network helps show where John V. Guttag may publish in the future.
Co-authorship network of co-authors of John V. Guttag
This figure shows the co-authorship network connecting the top 25 collaborators of John V. Guttag. A scholar is included among the top collaborators of John V. Guttag based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John V. Guttag. John V. Guttag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Application of Machine Learning To Epileptic Seizure Detection | 317 |
| 2 | 3 | |
| 3 | A Micro-power EEG acquisition SoC with integrated seizure detection processor for continuous patient monitoring | 33 |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 21 |
About John V. Guttag
John V. Guttag is a scholar working on Signal Processing, Cognitive Neuroscience and Psychiatry and Mental health, having authored 6 papers that have together received 386 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Blind Source Separation Techniques (3 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Signal Processing (184 citations), Cognitive Neuroscience (296 citations) and Cardiology and Cardiovascular Medicine (81 citations). John V. Guttag has collaborated with scholars based in United States and Germany. Frequent co-authors include Ali Shoeb, J. J. Horning, Naveen Verma, Anantha P. Chandrakasan, Elena L. Glassman and Eugene Shih. Their work appears in journals such as Science of Computer Programming, Conference proceedings 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.