Niccolò Mora
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
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- Non-Invasive Vital Sign Monitoring
Papers in
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- Non-Invasive Vital Sign Monitoring 10
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- ECG Monitoring and Analysis 7
- Co-authors
- Paolo Ciampolini (21 shared papers)Guido Matrella (13 shared papers)Ilaria De Munari (8 shared papers)F. Chimento (3 shared papers)Rui Hu (2 shared papers)Valentina Bianchi (3 shared papers)Thomas Brunschwiler (2 shared papers)Francesca Cocchi (3 shared papers)
- Journals
- Sensors (4 papers)IEEE Transactions on Instrumentation and Measurement (3 papers)Future Internet (1 paper)Gerontechnology (2 papers)Computers (1 paper)
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
Niccolò Mora
24 papers receiving 234 citations
Peers
Comparison fields: 5 of 49
- Cardiology and Cardiovascular Medicine 82
- Biomedical Engineering 113
- Human-Computer Interaction 14
- Cognitive Neuroscience 38
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Niccolò Mora
This map shows the geographic impact of Niccolò Mora'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 Niccolò Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niccolò Mora more than expected).
Fields of papers citing papers by Niccolò Mora
This network shows the impact of papers produced by Niccolò Mora. 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 Niccolò Mora. The network helps show where Niccolò Mora may publish in the future.
Co-authors
The 19 scholars most cited alongside Niccolò Mora, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 29 | |
| 2 | 2020 | 26 | |
| 3 | 2019 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 14 | |
| 8 | 2011 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2015 | 10 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2018 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2013 | 1 |
About Niccolò Mora
Niccolò Mora is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 24 papers that have together received 239 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (10 papers), EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (7 papers), Healthcare Technology and Patient Monitoring (6 papers), Neuroscience and Neural Engineering (5 papers), Context-Aware Activity Recognition Systems (5 papers), Silicon Carbide Semiconductor Technologies (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (82 citations), Biomedical Engineering (113 citations), Human-Computer Interaction (14 citations), Cognitive Neuroscience (38 citations) and Computer Vision and Pattern Recognition (39 citations). Niccolò Mora has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Paolo Ciampolini, Guido Matrella, Ilaria De Munari, F. Chimento, Rui Hu, Valentina Bianchi, Thomas Brunschwiler, Francesca Cocchi, Enrico Montanari and Bruno Michel. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement, Future Internet, Gerontechnology and Computers.
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.