Silvio Cesare

13 papers receiving 370 citations

Peers

Silvio Cesare
Comparison fields: 5 of 30
  • Signal Processing 341
  • Software 100
  • Computer Networks and Communications 267
  • Information Systems 238
  • Artificial Intelligence 118
Replace Philipp Trinius with:
Philipp Trinius Germany
Daniele Ucci Italy
Dhilung Kirat United States
Mansour Ahmadi Italy
Joshua Saxe United States
Xinhui Han China
Gérard Wagener Luxembourg
Daniel Quist United States
Clemens Kolbitsch United States
Davide Maiorca Italy
Silvio Cesare relative to Philipp Trinius Germany Philipp Trinius's profile →
Citations per field
00.5×1.5×
Philipp Trinius · 1×
Citations per year

Countries citing papers authored by Silvio Cesare

Since Specialization
Citations

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

Fields of papers citing papers by Silvio Cesare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Silvio Cesare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvio Cesare Line = papers co-authored together Silvio Cesare links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013119
2
Classification of malware using structured control flow
201072
3 201267
4 201141
5 201239
6 201028
7 201111
8 201110
9 20126
10 20065
11 20115
12
Simseer and bugwise: web services for binary-level software similarity and defect detection
20131
13
GAIA feasibility current research on critical aspects
19971
14 20170

About Silvio Cesare

Silvio Cesare is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Software, having authored 14 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (7 papers), Digital and Cyber Forensics (3 papers), Software Testing and Debugging Techniques (3 papers), Software Engineering Research (3 papers), Spam and Phishing Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Signal Processing (341 citations), Software (100 citations), Computer Networks and Communications (267 citations), Information Systems (238 citations) and Artificial Intelligence (118 citations). Silvio Cesare has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Yang Xiang, Wanlei Zhou, Sheng Wen, Mark Lycett, Yan‐Jiang Wang, Yizhi Ren, Mingchu Li, D. Carollo, M. G. Lattanzi and M. Gai. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Computers, The Computer Journal, IEEE Transactions on Dependable and Secure Computing and Journal of Intelligent Systems.

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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