Giorgio Biagetti
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Claudio TurchettiPaolo CrippaLaura FalaschettiSimone OrcioniFrancesco GianfeliciSimona LuzziMassimo ContiMassimiliano Pirani
- Topics
- Blind Source Separation Techniques (11 papers)Non-Invasive Vital Sign Monitoring (10 papers)ECG Monitoring and Analysis (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingSensors
In The Last Decade
Giorgio Biagetti
68 papers receiving 830 citations
Peers
Comparison fields: 5 of 111
- Biomedical Engineering 298
- Cognitive Neuroscience 173
- Electrical and Electronic Engineering 146
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 139
Countries citing papers authored by Giorgio Biagetti
This map shows the geographic impact of Giorgio Biagetti'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 Giorgio Biagetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Biagetti more than expected).
Fields of papers citing papers by Giorgio Biagetti
This network shows the impact of papers produced by Giorgio Biagetti. 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 Giorgio Biagetti. The network helps show where Giorgio Biagetti may publish in the future.
Co-authorship network of co-authors of Giorgio Biagetti
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Biagetti. A scholar is included among the top collaborators of Giorgio Biagetti 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 Giorgio Biagetti. Giorgio Biagetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 23 | |
| 12 | 64 | |
| 13 | 4 | |
| 14 | Improvement of RS-485 performance over long distances using the ToLHnet protocol | 2 |
| 15 | 6 | |
| 16 | A garbage model generation technique for embedded speech recognisers | 1 |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Analog Circuit Modeling in SystemC. | 3 |
About Giorgio Biagetti
Giorgio Biagetti is a scholar working on Signal Processing, Hardware and Architecture and Control and Systems Engineering, having authored 71 papers that have together received 850 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (11 papers), Non-Invasive Vital Sign Monitoring (10 papers) and ECG Monitoring and Analysis (8 papers). The work is most often cited by research in Signal Processing (131 citations), Cognitive Neuroscience (173 citations) and Computer Vision and Pattern Recognition (139 citations). Giorgio Biagetti has collaborated with scholars based in Italy, Romania and Greece. Frequent co-authors include Claudio Turchetti, Paolo Crippa, Laura Falaschetti, Simone Orcioni, Francesco Gianfelici, Simona Luzzi, Massimo Conti, Massimiliano Pirani, Davide Mencarelli and Luca Pierantoni. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Sensors.
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.