Luca Faes
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in ⓘ
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- Heart Rate Variability and Autonomic Control 164
- Cardiac electrophysiology and arrhythmias 24
- ECG Monitoring and Analysis 22
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- EEG and Brain-Computer Interfaces 64
- Neural dynamics and brain function 57
- Functional Brain Connectivity Studies 49
- Co-authors
- Giandomenico Nollo (102 shared papers)Alberto Porta (62 shared papers)Daniele Marinazzo (37 shared papers)Flavia Ravelli (20 shared papers)R. Antolini (21 shared papers)Michal Javorka (38 shared papers)Alessandro Montalto (11 shared papers)Riccardo Pernice (63 shared papers)
In The Last Decade
Luca Faes
234 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 143
- Cardiology and Cardiovascular Medicine 3.1k
- Cognitive Neuroscience 2.3k
- Signal Processing 350
- Biomedical Engineering 1.4k
- Statistical and Nonlinear Physics 372
Countries citing papers authored by Luca Faes
This map shows the geographic impact of Luca Faes'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 Luca Faes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Faes more than expected).
Fields of papers citing papers by Luca Faes
This network shows the impact of papers produced by Luca Faes. 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 Luca Faes. The network helps show where Luca Faes may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Faes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 193 | |
| 2 | 2004 | 154 | |
| 3 | 2017 | 151 | |
| 4 | 2014 | 129 | |
| 5 | 2015 | 125 | |
| 6 | 2007 | 117 | |
| 7 | 2004 | 113 | |
| 8 | 2015 | 105 | |
| 9 | 2014 | 96 | |
| 10 | 2002 | 94 | |
| 11 | 2012 | 94 | |
| 12 | 2014 | 82 | |
| 13 | 2011 | 79 | |
| 14 | 2015 | 78 | |
| 15 | 2008 | 75 | |
| 16 | 2023 | 74 | |
| 17 | 2010 | 70 | |
| 18 | 2013 | 70 | |
| 19 | 2016 | 69 | |
| 20 | 2010 | 69 |
About Luca Faes
Luca Faes is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Economics and Econometrics and Surgery, having authored 255 papers that have together received 5.3k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (164 papers), Non-Invasive Vital Sign Monitoring (67 papers), EEG and Brain-Computer Interfaces (64 papers), Neural dynamics and brain function (57 papers), Functional Brain Connectivity Studies (49 papers), Complex Systems and Time Series Analysis (34 papers), Cardiac electrophysiology and arrhythmias (24 papers) and ECG Monitoring and Analysis (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.1k citations), Cognitive Neuroscience (2.3k citations), Signal Processing (350 citations), Biomedical Engineering (1.4k citations) and Statistical and Nonlinear Physics (372 citations). Luca Faes has collaborated with scholars based in Italy, Belgium and Slovakia. Frequent co-authors include Giandomenico Nollo, Alberto Porta, Daniele Marinazzo, Flavia Ravelli, R. Antolini, Michal Javorka, Alessandro Montalto, Riccardo Pernice, Yuri Antonacci and Vlasta Bari. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Physical review. E and Autonomic Neuroscience.
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.