Daniela Lo Presti
- Biomedical Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Emiliano SchenaCarlo MassaroniM. CaponeroDomenico FormicaSergio SilvestriPaola SaccomandiAndrea NicolòCalogero Maria Oddo
- Topics
- Advanced Fiber Optic Sensors (62 papers)Non-Invasive Vital Sign Monitoring (60 papers)Advanced Sensor and Energy Harvesting Materials (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Daniela Lo Presti
137 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Biomedical Engineering 2.2k
- Electrical and Electronic Engineering 1.3k
- Cardiology and Cardiovascular Medicine 374
- Surgery 339
- Pulmonary and Respiratory Medicine 232
Countries citing papers authored by Daniela Lo Presti
This map shows the geographic impact of Daniela Lo Presti'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 Daniela Lo Presti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lo Presti more than expected).
Fields of papers citing papers by Daniela Lo Presti
This network shows the impact of papers produced by Daniela Lo Presti. 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 Daniela Lo Presti. The network helps show where Daniela Lo Presti may publish in the future.
Co-authorship network of co-authors of Daniela Lo Presti
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Lo Presti. A scholar is included among the top collaborators of Daniela Lo Presti 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 Daniela Lo Presti. Daniela Lo Presti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 4 | |
| 15 | 23 | |
| 16 | 31 | |
| 17 | 6 | |
| 18 | 49 | |
| 19 | 52 | |
| 20 | 180 |
About Daniela Lo Presti
Daniela Lo Presti is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Orthopedics and Sports Medicine, having authored 144 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (62 papers), Non-Invasive Vital Sign Monitoring (60 papers) and Advanced Sensor and Energy Harvesting Materials (47 papers). The work is most often cited by research in Biomedical Engineering (2.2k citations), Bioengineering (151 citations) and Electrical and Electronic Engineering (1.3k citations). Daniela Lo Presti has collaborated with scholars based in Italy, Portugal and France. Frequent co-authors include Emiliano Schena, Carlo Massaroni, M. Caponero, Domenico Formica, Sergio Silvestri, Paola Saccomandi, Andrea Nicolò, Calogero Maria Oddo, Umile Giuseppe Longo and Luca Massari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.