Sara Rampazzi

425 total citations
24 papers, 139 citations indexed

About

Sara Rampazzi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Sara Rampazzi has authored 24 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Hardware and Architecture. Recurrent topics in Sara Rampazzi's 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). Sara Rampazzi is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Advanced Data Storage Technologies (4 papers) and Ocular and Laser Science Research (4 papers). Sara Rampazzi collaborates with scholars based in United States, Japan and Italy. Sara Rampazzi's co-authors include F. Marabelli, Francesco Leporati, Giovanni Danese, Kevin Fu, Wenyuan Xu, Chaohao Li, Andrew Kwong, Takeshi Sugawara, Vincent Bindschaedler and Tatsuya Akutsu and has published in prestigious journals such as Bioinformatics, IEEE Access and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Sara Rampazzi

20 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Rampazzi United States 6 43 37 36 35 26 24 139
Max Willsey United States 8 55 1.3× 56 1.5× 120 3.3× 56 1.6× 10 0.4× 14 247
Mojan Javaheripi United States 9 13 0.3× 82 2.2× 6 0.2× 99 2.8× 20 0.8× 22 177
Wenbo Yin China 6 36 0.8× 26 0.7× 18 0.5× 16 0.5× 4 0.2× 33 153
Yuxuan Chen China 7 16 0.4× 34 0.9× 27 0.8× 62 1.8× 26 1.0× 16 161
Zsolt Talata United States 6 44 1.0× 16 0.4× 37 1.0× 113 3.2× 16 0.6× 13 238
Chandan Tilak Bhunia India 9 63 1.5× 170 4.6× 12 0.3× 17 0.5× 23 0.9× 53 253
Xunxun Chen China 8 8 0.2× 45 1.2× 16 0.4× 65 1.9× 25 1.0× 33 252
Juliane Krämer Germany 7 8 0.2× 47 1.3× 6 0.2× 106 3.0× 28 1.1× 22 212
Thanh‐Ha Le France 7 32 0.7× 27 0.7× 3 0.1× 98 2.8× 25 1.0× 15 179
Randy Kuang Canada 10 46 1.1× 42 1.1× 30 0.8× 210 6.0× 4 0.2× 43 312

Countries citing papers authored by Sara Rampazzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Sato, Takami, et al.. (2023). WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems. 1 indexed citations
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Gustafson, Eric, Nilo Redini, Andrea Continella, et al.. (2023). Shimware: Toward Practical Security Retrofitting for Monolithic Firmware Images. University of Twente Research Information. 32–45. 2 indexed citations
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Naghavi, Pirouz, et al.. (2022). PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies. IEEE Access. 10. 89248–89269. 11 indexed citations
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Long, Yan, et al.. (2022). VeriMask. GetMobile Mobile Computing and Communications. 26(2). 25–28.
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Rampazzi, Sara, et al.. (2022). Analyzing the Monetization Ecosystem of Stalkerware. Proceedings on Privacy Enhancing Technologies. 2022(4). 105–119. 2 indexed citations
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Yan, Long, Sara Rampazzi, Takeshi Sugawara, & Kevin Fu. (2021). Protecting COVID-19 Vaccine Transportation and Storage from Analog Cybersecurity Threats. Biomedical Instrumentation & Technology. 55(3). 112–117. 3 indexed citations
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Yan, Long, Sara Rampazzi, Takeshi Sugawara, & Kevin Fu. (2021). Protecting COVID-19 Vaccine Transportation and Storage from Analog Cybersecurity Threats. Biomedical Instrumentation & Technology. 55(3). 112–117. 2 indexed citations
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Tu, Yazhou, et al.. (2019). Trick or Heat? Attack on Amplification Circuits to Abuse Critical Temperature Control Systems.. arXiv (Cornell University). 1 indexed citations
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Tu, Yazhou, et al.. (2019). Trick or Heat? Manipulating Critical Temperature-Based Control Systems Using Rectification Attacks. arXiv (Cornell University). 13 indexed citations
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Marini, Simone, et al.. (2018). Protease target prediction via matrix factorization. Bioinformatics. 35(6). 923–929. 9 indexed citations
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Rampazzi, Sara, Francesco Leporati, Giovanni Danese, et al.. (2013). A novel portable surface plasmon resonance based imaging instrument for on-site multi-analyte detection. Federated Conference on Computer Science and Information Systems. 619–626. 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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