Paolo Ciampolini
- Electrical and Electronic Engineering
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Ilaria De MunariValentina BianchiGuido MatrellaNiccolò MoraMonica MordoniniStefano CagnoniMarco BassoliMinh Long Hoang
- Topics
- Context-Aware Activity Recognition Systems (24 papers)Non-Invasive Vital Sign Monitoring (15 papers)ECG Monitoring and Analysis (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsSignal Processing
- Journals
- SensorsSensors and Actuators A PhysicalIEEE Transactions on Instrumentation and Measurement
- Partner nations
- ItalySwitzerland
In The Last Decade
Paolo Ciampolini
46 papers receiving 795 citations
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 289
- Biomedical Engineering 264
- Computer Vision and Pattern Recognition 211
- Computer Networks and Communications 173
- Public Health, Environmental and Occupational Health 114
Countries citing papers authored by Paolo Ciampolini
This map shows the geographic impact of Paolo Ciampolini'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 Paolo Ciampolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Ciampolini more than expected).
Fields of papers citing papers by Paolo Ciampolini
This network shows the impact of papers produced by Paolo Ciampolini. 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 Paolo Ciampolini. The network helps show where Paolo Ciampolini may publish in the future.
Co-authorship network of co-authors of Paolo Ciampolini
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Ciampolini. A scholar is included among the top collaborators of Paolo Ciampolini 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 Paolo Ciampolini. Paolo Ciampolini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 19 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 21 | |
| 15 | 17 | |
| 16 | 27 | |
| 17 | 60 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | MuSA: A multisensor wearable device for AAL | 8 |
About Paolo Ciampolini
Paolo Ciampolini is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 48 papers that have together received 820 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (24 papers), Non-Invasive Vital Sign Monitoring (15 papers) and ECG Monitoring and Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Computer Networks and Communications (173 citations) and Signal Processing (68 citations). Paolo Ciampolini has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Ilaria De Munari, Valentina Bianchi, Guido Matrella, Niccolò Mora, Monica Mordonini, Stefano Cagnoni, Marco Bassoli, Minh Long Hoang, Bruno Michel and Enrico Montanari. Their work appears in journals such as Sensors, Sensors and Actuators A Physical and IEEE Transactions on Instrumentation and Measurement.
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.