Gaetano D. Gargiulo
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 22
- Biomedical Engineering top 2%
- Non-Invasive Vital Sign Monitoring 30
- Advanced Sensor and Energy Harvesting Materials 24
- Muscle activation and electromyography studies 23
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- ECG Monitoring and Analysis 30
- Heart Rate Variability and Autonomic Control 10
- Human-Computer Interaction top 5%
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- Neuroscience and Neural Engineering 19
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- Phonocardiography and Auscultation Techniques 10
- Co-authors
- Paolo BifulcoMario CesarelliDaniele EspositoGanesh R. NaikPaul P. BreenAlistair McEwanEmilio AndreozziAndré van Schaik
- Partner nations
- AustraliaItalyUnited Kingdom
In The Last Decade
Gaetano D. Gargiulo
101 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 145
- Cognitive Neuroscience 646
- Biomedical Engineering 1.3k
- Cardiology and Cardiovascular Medicine 499
- Human-Computer Interaction 118
- Cellular and Molecular Neuroscience 389
Countries citing papers authored by Gaetano D. Gargiulo
This map shows the geographic impact of Gaetano D. Gargiulo'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 Gaetano D. Gargiulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaetano D. Gargiulo more than expected).
Fields of papers citing papers by Gaetano D. Gargiulo
This network shows the impact of papers produced by Gaetano D. Gargiulo. 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 Gaetano D. Gargiulo. The network helps show where Gaetano D. Gargiulo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaetano D. Gargiulo, 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 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 52 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 37 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 23 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 99 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 11 | |
| 19 | 2016 | 6 | |
| 20 | 2014 | 29 |
About Gaetano D. Gargiulo
Gaetano D. Gargiulo is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Equine, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (30 papers), Non-Invasive Vital Sign Monitoring (30 papers), Advanced Sensor and Energy Harvesting Materials (24 papers), Muscle activation and electromyography studies (23 papers), EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (19 papers), Phonocardiography and Auscultation Techniques (10 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Cognitive Neuroscience (646 citations), Biomedical Engineering (1.3k citations), Cardiology and Cardiovascular Medicine (499 citations), Human-Computer Interaction (118 citations) and Cellular and Molecular Neuroscience (389 citations). Gaetano D. Gargiulo has collaborated with scholars based in Australia, Italy and United Kingdom. Frequent co-authors include Paolo Bifulco, Mario Cesarelli, Daniele Esposito, Ganesh R. Naik, Paul P. Breen, Alistair McEwan, Emilio Andreozzi, André van Schaik, Craig Jin and Sergio Savino. Their work appears in journals such as Sensors, Physiological Measurement, Electronics Letters, BioMedical Engineering OnLine and BioMed Research International.
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.