Sara Rampazzi
- Biomedical Engineering
- Electrical and Electronic Engineering
- Molecular Biology
- Artificial Intelligence
- Signal Processing
- Co-authors
- Francesco LeporatiGiovanni DaneseF. MarabelliKevin FuWenyuan XuAndrew KwongChaohao LiVincent Bindschaedler
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (5 papers)Advanced Data Storage Technologies (4 papers)Ocular and Laser Science Research (4 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Sara Rampazzi
20 papers receiving 136 citations
Peers
Comparison fields: 5 of 49
- Biomedical Engineering 43
- Electrical and Electronic Engineering 37
- Molecular Biology 36
- Artificial Intelligence 35
- Signal Processing 26
Countries citing papers authored by Sara Rampazzi
This map shows the geographic impact of Sara Rampazzi'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 Sara Rampazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Rampazzi more than expected).
Fields of papers citing papers by Sara Rampazzi
This network shows the impact of papers produced by Sara Rampazzi. 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 Sara Rampazzi. The network helps show where Sara Rampazzi may publish in the future.
Co-authorship network of co-authors of Sara Rampazzi
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Rampazzi. A scholar is included among the top collaborators of Sara Rampazzi 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 Sara Rampazzi. Sara Rampazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | Trick or Heat? Attack on Amplification Circuits to Abuse Critical Temperature Control Systems. | 1 |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 25 | |
| 19 | A novel portable surface plasmon resonance based imaging instrument for on-site multi-analyte detection | 1 |
| 20 | 1 |
About Sara Rampazzi
Sara Rampazzi is a scholar working on Hardware and Architecture, Instrumentation and Ophthalmology, having authored 24 papers that have together received 139 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Advanced Data Storage Technologies (4 papers) and Ocular and Laser Science Research (4 papers). The work is most often cited by research in Hardware and Architecture (22 citations), Signal Processing (26 citations) and Artificial Intelligence (35 citations). Sara Rampazzi has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Francesco Leporati, Giovanni Danese, F. Marabelli, Kevin Fu, Wenyuan Xu, Andrew Kwong, Chaohao Li, Vincent Bindschaedler, Takeshi Sugawara and Yazhou Tu. Their work appears in journals such as Bioinformatics, IEEE Access 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.