Salvatore Guarnieri

1.2k total citations
9 papers, 458 citations indexed

About

Salvatore Guarnieri is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Salvatore Guarnieri has authored 9 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Salvatore Guarnieri's work include Advanced Malware Detection Techniques (8 papers), Security and Verification in Computing (7 papers) and Web Application Security Vulnerabilities (4 papers). Salvatore Guarnieri is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Security and Verification in Computing (7 papers) and Web Application Security Vulnerabilities (4 papers). Salvatore Guarnieri collaborates with scholars based in United States and Israel. Salvatore Guarnieri's co-authors include Benjamin Livshits, Marco Pistoia, Omer Tripp, Julian Dolby, Aleksandr Y. Aravkin, Manu Sridharan, Shay Artzi, Michael Burke and Vivek Sarkar and has published in prestigious journals such as IBM Journal of Research and Development, ACM SIGPLAN Notices and USENIX Security Symposium.

In The Last Decade

Salvatore Guarnieri

8 papers receiving 427 citations

Peers

Salvatore Guarnieri
Comparison fields: 5 of 32
  • Information Systems 336
  • Signal Processing 302
  • Artificial Intelligence 279
  • Software 160
  • Computer Networks and Communications 83
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Nimrod Partush Israel
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Kristopher Micinski United States
Chung-Hung Tsai Taiwan
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Chia Yuan Cho Singapore
Thomas Dullien Switzerland
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Citations per field, relative to Salvatore Guarnieri
Salvatore Guarnieri · 1×
Citations per year, relative to Salvatore Guarnieri
Salvatore Guarnieri · 1×

Countries citing papers authored by Salvatore Guarnieri

Since Specialization
Citations

This map shows the geographic impact of Salvatore Guarnieri'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 Salvatore Guarnieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Guarnieri more than expected).

Fields of papers citing papers by Salvatore Guarnieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salvatore Guarnieri. 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 Salvatore Guarnieri. The network helps show where Salvatore Guarnieri may publish in the future.

Co-authorship network of co-authors of Salvatore Guarnieri

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore Guarnieri. A scholar is included among the top collaborators of Salvatore Guarnieri 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 Salvatore Guarnieri. Salvatore Guarnieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 54
2
An esthetic concern leads the way to improved oral health.
1
3 55
4 71
5 91
6 5
7
GULFSTREAM: staged static analysis for streaming JavaScript applications
17
8
Gulfstream: Incremental Static Analysis for Streaming JavaScript Applications
14
9
GATEKEEPER: mostly static enforcement of security and reliability policies for javascript code
150

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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2026