G.G. Cano
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 5
- Cardiac electrophysiology and arrhythmias 1
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- Blind Source Separation Techniques 3
- Time Series Analysis and Forecasting 2
- Co-authors
- D.A. Coast (4 shared papers)Stanley A. Briller (5 shared papers)Richard M. Stern (1 shared paper)Richard Arnott (1 shared paper)Timothy D. Smith (1 shared paper)Michael I. Siegel (1 shared paper)Gregory M. Cooper (1 shared paper)Annie M. Burrows (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Journal of Craniofacial Surgery (1 paper)Journal of Electrocardiology (3 papers)
- Partner nations
- United States
In The Last Decade
G.G. Cano
7 papers receiving 372 citations
Peers
Comparison fields: 5 of 57
- Cardiology and Cardiovascular Medicine 337
- Cognitive Neuroscience 232
- Signal Processing 95
- Biomedical Engineering 139
- Control and Systems Engineering 38
Countries citing papers authored by G.G. Cano
This map shows the geographic impact of G.G. Cano'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 G.G. Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.G. Cano more than expected).
Fields of papers citing papers by G.G. Cano
This network shows the impact of papers produced by G.G. Cano. 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 G.G. Cano. The network helps show where G.G. Cano may publish in the future.
Co-authors
The 10 scholars most cited alongside G.G. Cano, 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 | 1990 | 354 | |
| 2 | 1999 | 21 | |
| 3 | 1990 | 12 | |
| 4 | 2003 | 11 | |
| 5 | 1990 | 8 | |
| 6 | 1990 | 7 | |
| 7 | 2003 | 1 | |
| 8 | 2003 | 0 |
About G.G. Cano
G.G. Cano is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing, Biomedical Engineering, Genetics and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 414 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (5 papers), Analog and Mixed-Signal Circuit Design (3 papers), Blind Source Separation Techniques (3 papers), Time Series Analysis and Forecasting (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Airway Management and Intubation Techniques (1 paper), Cleft Lip and Palate Research (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (337 citations), Cognitive Neuroscience (232 citations), Signal Processing (95 citations), Biomedical Engineering (139 citations) and Control and Systems Engineering (38 citations). G.G. Cano has collaborated with scholars based in United States. Frequent co-authors include D.A. Coast, Stanley A. Briller, Richard M. Stern, Richard Arnott, Timothy D. Smith, Michael I. Siegel, Gregory M. Cooper, Annie M. Burrows, Chris Sherwood and Alexander Tschakaloff. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Craniofacial Surgery and Journal of Electrocardiology.
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.