Silvio Cesare

605 total citations
14 papers, 403 citations indexed

About

Silvio Cesare is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Silvio Cesare has authored 14 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 8 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Silvio Cesare's work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (7 papers) and Software Engineering Research (3 papers). Silvio Cesare is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (7 papers) and Software Engineering Research (3 papers). Silvio Cesare collaborates with scholars based in Australia, United Kingdom and China. Silvio Cesare's co-authors include Yang Xiang, Wanlei Zhou, Sheng Wen, Yan‐Jiang Wang, Mingchu Li, Yizhi Ren, Mark Lycett, D. Carollo, G. Mana and M. G. Lattanzi and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Communications Letters and The Computer Journal.

In The Last Decade

Silvio Cesare

13 papers receiving 368 citations

Peers

Silvio Cesare

SP

CNC

IS

AI

SOFTW

Philipp Trinius Germany

Daniele Ucci Italy

Joshua Saxe Finland

Santanu Kumar Dash United Kingdom

Clemens Kolbitsch United States

Mansour Ahmadi Italy

Dhilung Kirat United States

Afsah Anwar United States

Daniel Quist United States

Ekta Gandotra India

Philipp Trinius Germany

Silvio Cesare

511 ×1.5

SP

468 ×1.7

CNC

285 ×1.2

IS

171 ×1.4

AI

102 ×1.0

SOFTW

Citations per year, relative to Silvio Cesare Silvio Cesare (= 1×) peers Philipp Trinius

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-authorship network of co-authors of Silvio Cesare

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

All Works

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14 of 14 papers shown

1.

Cesare, Silvio. (2017). Fast automated unpacking and classification of malware. Acquire (CQUniversity).

2.

Cesare, Silvio, Yang Xiang, & Wanlei Zhou. (2013). Control Flow-Based Malware VariantDetection. IEEE Transactions on Dependable and Secure Computing. 11(4). 307–317. 118 indexed citations

3.

Cesare, Silvio & Yang Xiang. (2013). Simseer and bugwise: web services for binary-level software similarity and defect detection. Deakin Research Online (Deakin University). 21–29. 1 indexed citations

4.

Cesare, Silvio & Yang Xiang. (2012). Software Similarity and Classification. SpringerBriefs in computer science. 39 indexed citations

5.

Cesare, Silvio & Yang Xiang. (2012). Wire -- A Formal Intermediate Language for Binary Analysis. 515–524. 6 indexed citations

6.

Cesare, Silvio, Yang Xiang, & Wanlei Zhou. (2012). Malwise—An Effective and Efficient Classification System for Packed and Polymorphic Malware. IEEE Transactions on Computers. 62(6). 1193–1206. 67 indexed citations

7.

Li, Mingchu, et al.. (2011). A QoS‐based fine‐grained reputation system in the grid environment. Concurrency and Computation Practice and Experience. 24(17). 1990–2006. 5 indexed citations

8.

Wen, Sheng, et al.. (2011). Eliminating Errors in Worm Propagation Models. IEEE Communications Letters. 15(9). 1022–1024. 11 indexed citations

9.

Wang, Yan‐Jiang, Sheng Wen, Silvio Cesare, Wanlei Zhou, & Yang Xiang. (2011). The Microcosmic Model of Worm Propagation. The Computer Journal. 54(10). 1700–1720. 10 indexed citations

10.

Cesare, Silvio & Yang Xiang. (2011). Malware Variant Detection Using Similarity Search over Sets of Control Flow Graphs. 181–189. 41 indexed citations

11.

Cesare, Silvio & Yang Xiang. (2010). Classification of malware using structured control flow. Deakin Research Online (Deakin University). 107. 61–70. 72 indexed citations

12.

Cesare, Silvio & Yang Xiang. (2010). A Fast Flowgraph Based Classification System for Packed and Polymorphic Malware on the Endhost. 721–728. 28 indexed citations

13.

Cesare, Silvio, et al.. (2006). Separation of Concerns: Techniques, Issues and Implications. Journal of Intelligent Systems. 15(1-4). 153–176. 4 indexed citations

14.

Gai, M., Enrico Canuto, D. Carollo, et al.. (1997). GAIA feasibility current research on critical aspects. CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica). 402. 835–838. 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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