M. Pacelli

505 total citations
14 papers, 314 citations indexed

About

M. Pacelli is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Social Psychology. According to data from OpenAlex, M. Pacelli has authored 14 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Social Psychology. Recurrent topics in M. Pacelli's work include Advanced Sensor and Energy Harvesting Materials (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Muscle activation and electromyography studies (3 papers). M. Pacelli is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Muscle activation and electromyography studies (3 papers). M. Pacelli collaborates with scholars based in Italy, Denmark and Greece. M. Pacelli's co-authors include R. Paradiso, G. Loriga, N. Taccini, F. Lorussi, Alessandro Tognetti, Nicola Carbonaro, Danilo Emilio De Rossi, D. Farina, Danilo De Rossi and Angelo Gemignani and has published in prestigious journals such as Journal of NeuroEngineering and Rehabilitation, Electronics and IEEE Industrial Electronics Magazine.

In The Last Decade

M. Pacelli

12 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Pacelli Italy 9 241 66 53 43 42 14 314
Giannicola Loriga Italy 6 210 0.9× 40 0.6× 36 0.7× 44 1.0× 17 0.4× 8 291
Michael McKnight United States 9 215 0.9× 43 0.7× 52 1.0× 22 0.5× 32 0.8× 19 315
Giuseppe Zupone Italy 8 221 0.9× 32 0.5× 53 1.0× 85 2.0× 58 1.4× 15 335
Chien‐Lung Shen Taiwan 7 268 1.1× 117 1.8× 52 1.0× 15 0.3× 34 0.8× 10 324
Mario Tesconi Italy 11 368 1.5× 84 1.3× 93 1.8× 89 2.1× 74 1.8× 21 494
Carey Merritt United States 10 321 1.3× 104 1.6× 49 0.9× 18 0.4× 25 0.6× 14 436
Rangaswamy Rajamanickam United States 9 148 0.6× 216 3.3× 27 0.5× 51 1.2× 66 1.6× 15 429
Davide Curone Italy 9 190 0.8× 23 0.3× 17 0.3× 94 2.2× 20 0.5× 12 295
Abu Ilius Faisal Canada 6 187 0.8× 19 0.3× 21 0.4× 50 1.2× 26 0.6× 7 300
Torsten Linz Germany 10 284 1.2× 130 2.0× 45 0.8× 24 0.6× 66 1.6× 11 393

Countries citing papers authored by M. Pacelli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M. Pacelli

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pacelli. A scholar is included among the top collaborators of M. Pacelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Pacelli. M. Pacelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Stentoumis, Christos, M. Pacelli, Jens Grivolla, et al.. (2023). An Extended Reality System for Situation Awareness in Flood Management and Media Production Planning. Electronics. 12(12). 2569–2569. 3 indexed citations
2.
Paradiso, R., et al.. (2019). An Ecological Studybased on Textile Sensory Platforms to Improve Safety and Well-Being at Work. PubMed. 2019. 1741–1744. 1 indexed citations
3.
4.
Jacobs, Matthew R., Larisa Florea, Shirley Coyle, et al.. (2016). Textile piezoresistive sensors for on-body measurement of spinal extension. 34. 1–3. 4 indexed citations
5.
Tognetti, Alessandro, F. Lorussi, Nicola Carbonaro, et al.. (2014). New generation of wearable goniometers for motion capture systems. Journal of NeuroEngineering and Rehabilitation. 11(1). 56–56. 65 indexed citations
6.
Pacelli, M., et al.. (2013). Performances evaluation of piezoresistive fabric sensors as function of yarn structure. PubMed. 2013. 6502–6505. 16 indexed citations
7.
Paradiso, R. & M. Pacelli. (2011). Textile electrodes and integrated smart textile for reliable biomonitoring. PubMed. 2011. 3274–3277. 13 indexed citations
8.
Pacelli, M., et al.. (2010). E-Textile platforms for rehabilitation. PubMed. 2010. 5181–5184. 17 indexed citations
9.
Taccini, N., G. Loriga, M. Pacelli, & R. Paradiso. (2008). Wearable monitoring system for chronic cardio-respiratory diseases. PubMed. 2008. 3690–3693. 25 indexed citations
10.
Pacelli, M., G. Loriga, & R. Paradiso. (2007). Flat Knitted Sensors for Respiration Monitoring. 2838–2841. 26 indexed citations
11.
Loriga, G., N. Taccini, M. Pacelli, & R. Paradiso. (2007). Flat knitted sensors for respiration monitoring [From mind to market]. IEEE Industrial Electronics Magazine. 1(3). 4–7. 14 indexed citations
12.
Pacelli, M., G. Loriga, N. Taccini, & R. Paradiso. (2006). Sensing Fabrics for Monitoring Physiological and Biomechanical Variables: E-textile solutions. 1–4. 118 indexed citations
13.
Pacelli, M., R. Paradiso, F. Lorussi, et al.. (2001). Sensing Threads and Fabrics for Monitoring Body Kinematic and Vital Signs. CINECA IRIS Institutial research information system (University of Pisa). 55–63. 10 indexed citations
14.
Pacelli, M.. (1957). Natural Background Radiation. BMJ. 2(5041). 411–411. 1 indexed citations

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.

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