P. Vergallo
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- Non-Invasive Vital Sign Monitoring 7
-
- solar cell performance optimization 3
- Co-authors
- A. Lay-Ekuakille (42 shared papers)Domenico Labate (4 shared papers)Francesco Carlo Morabito (4 shared papers)Fabio La Foresta (2 shared papers)Antonio Trabacca (10 shared papers)Francesco Conversano (7 shared papers)Sergio Casciaro (7 shared papers)Shabana Urooj (6 shared papers)
- Journals
- IEEE Sensors Journal (6 papers)Measurement (4 papers)Review of Scientific Instruments (2 papers)Electromagnetic waves (2 papers)IEEE Transactions on Instrumentation and Measurement (1 paper)
- Partner nations
- ItalyIndiaNetherlands
In The Last Decade
P. Vergallo
42 papers receiving 663 citations
Peers
Comparison fields: 5 of 94
- Signal Processing 99
- Cognitive Neuroscience 135
- Cardiology and Cardiovascular Medicine 136
- Computer Vision and Pattern Recognition 102
- Biomedical Engineering 191
Countries citing papers authored by P. Vergallo
This map shows the geographic impact of P. Vergallo'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 P. Vergallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Vergallo more than expected).
Fields of papers citing papers by P. Vergallo
This network shows the impact of papers produced by P. Vergallo. 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 P. Vergallo. The network helps show where P. Vergallo may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Vergallo, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 155 | |
| 2 | 2014 | 66 | |
| 3 | 2011 | 40 | |
| 4 | 2012 | 38 | |
| 5 | 2011 | 32 | |
| 6 | 2011 | 32 | |
| 7 | 2013 | 28 | |
| 8 | 2010 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2013 | 22 | |
| 11 | 2013 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2011 | 13 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2015 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2012 | 8 |
About P. Vergallo
P. Vergallo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 680 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), EEG and Brain-Computer Interfaces (6 papers), Water Systems and Optimization (6 papers), Speech and Audio Processing (5 papers), Blind Source Separation Techniques (4 papers), Photovoltaic System Optimization Techniques (4 papers), ECG Monitoring and Analysis (4 papers) and solar cell performance optimization (3 papers). The work is most often cited by research in Signal Processing (99 citations), Cognitive Neuroscience (135 citations), Cardiology and Cardiovascular Medicine (136 citations), Computer Vision and Pattern Recognition (102 citations) and Biomedical Engineering (191 citations). P. Vergallo has collaborated with scholars based in Italy, India and Netherlands. Frequent co-authors include A. Lay-Ekuakille, Domenico Labate, Francesco Carlo Morabito, Fabio La Foresta, Antonio Trabacca, Francesco Conversano, Sergio Casciaro, Shabana Urooj, Vikrant Bhateja and Diego Caratelli. Their work appears in journals such as IEEE Sensors Journal, Measurement, Review of Scientific Instruments, Electromagnetic waves and IEEE Transactions on Instrumentation and Measurement.
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.