M. Pacelli
Impact in
- Human-Computer Interaction top 10%
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- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Muscle activation and electromyography studies
- Wireless Body Area Networks
Papers in
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- Advanced Sensor and Energy Harvesting Materials 7
- Non-Invasive Vital Sign Monitoring 5
- Muscle activation and electromyography studies 3
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- Heart Rate Variability and Autonomic Control 3
- Co-authors
- R. Paradiso (12 shared papers)G. Loriga (4 shared papers)N. Taccini (3 shared papers)F. Lorussi (2 shared papers)Alessandro Tognetti (1 shared paper)Danilo Emilio De Rossi (1 shared paper)Nicola Carbonaro (1 shared paper)D. Farina (1 shared paper)
- Journals
- IEEE Industrial Electronics Magazine (1 paper)Journal of NeuroEngineering and Rehabilitation (1 paper)Electronics (1 paper)BMJ (1 paper)PubMed (6 papers)
In The Last Decade
M. Pacelli
12 papers receiving 278 citations
Peers
Comparison fields: 5 of 69
- Human-Computer Interaction 42
- Biomedical Engineering 241
- Polymers and Plastics 66
- Cognitive Neuroscience 53
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by M. Pacelli
This map shows the geographic impact of M. Pacelli'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 M. Pacelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pacelli more than expected).
Fields of papers citing papers by M. Pacelli
This network shows the impact of papers produced by M. Pacelli. 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 M. Pacelli. The network helps show where M. Pacelli may publish in the future.
Co-authors
The 21 scholars most cited alongside M. Pacelli, 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 | 2006 | 118 | |
| 2 | 2014 | 65 | |
| 3 | 2007 | 26 | |
| 4 | 2008 | 25 | |
| 5 | 2010 | 17 | |
| 6 | 2013 | 16 | |
| 7 | 2007 | 14 | |
| 8 | 2011 | 13 | |
| 9 | Sensing Threads and Fabrics for Monitoring Body Kinematic and Vital Signs | 2001 | 10 |
| 10 | 2016 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 1957 | 1 |
About M. Pacelli
M. Pacelli is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Social Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Non-Invasive Vital Sign Monitoring (5 papers), Heart Rate Variability and Autonomic Control (3 papers), Muscle activation and electromyography studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), Balance, Gait, and Falls Prevention (1 paper), Multimodal Machine Learning Applications (1 paper) and Consumer Retail Behavior Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (42 citations), Biomedical Engineering (241 citations), Polymers and Plastics (66 citations), Cognitive Neuroscience (53 citations) and Computer Vision and Pattern Recognition (43 citations). M. Pacelli has collaborated with scholars based in Italy, Spain and Ireland. Frequent co-authors include R. Paradiso, G. Loriga, N. Taccini, F. Lorussi, Alessandro Tognetti, Danilo Emilio De Rossi, Nicola Carbonaro, D. Farina, Matthew R. Jacobs and Angelo Gemignani. Their work appears in journals such as IEEE Industrial Electronics Magazine, Journal of NeuroEngineering and Rehabilitation, Electronics, BMJ and PubMed.
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.