Mirco Marchetti

92 papers receiving 2.1k citations

Mirco Marchetti's Hit Papers

On the effectiveness of machine and deep learning for cyber security 2018 · 231 citations
2310+2+5Years since publication50100150200

Peers

Mirco Marchetti
Comparison fields: 5 of 99
  • Signal Processing 766
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 949
  • Information Systems 629
  • Hardware and Architecture 166
Replace Thomas C. Schmidt with:
Thomas C. Schmidt Germany
Hannes Federrath Germany
Thomas Zacharias United Kingdom
Konstantinos Chatzikokolakis France
Diego R. Lopez Spain
Chun‐I Fan Taiwan
Lynn Batten Australia
Kuai Xu United States
Xenofontas A. Dimitropoulos Switzerland
Mirco Marchetti relative to Thomas C. Schmidt Germany Thomas C. Schmidt's profile →
Citations per field
00.5×2×3.3×
Thomas C. Schmidt · 1×
Citations per year

Countries citing papers authored by Mirco Marchetti

Since Specialization
Citations

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

Fields of papers citing papers by Mirco Marchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mirco Marchetti, 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 Mirco Marchetti Line = papers co-authored together Mirco Marchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Making Byzantine fault tolerant systems tolerate Byzantine faults
2009246
2
On the effectiveness of machine and deep learning for cyber security
Hit paper breakdown →
2018231
3 2017193
4 2016137
5 2018128
6 2016122
7 202087
8 201783
9 201981
10 200859
11 202051
12 201344
13 201939
14 201936
15 197234
16 201930
17 201630
18 200229
19 201728
20 202226

About Mirco Marchetti

Mirco Marchetti is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (42 papers), Advanced Malware Detection Techniques (31 papers), Vehicular Ad Hoc Networks (VANETs) (18 papers), Cryptography and Data Security (14 papers), Internet Traffic Analysis and Secure E-voting (13 papers), Anomaly Detection Techniques and Applications (12 papers), Cloud Data Security Solutions (12 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Signal Processing (766 citations), Computer Networks and Communications (1.5k citations), Artificial Intelligence (949 citations), Information Systems (629 citations) and Hardware and Architecture (166 citations). Mirco Marchetti has collaborated with scholars based in Italy, United States and Portugal. Frequent co-authors include Michele Colajanni, Dario Stabili, Luca Ferretti, Giovanni Apruzzese, Alessandro Guido, Fabio Pierazzi, Mauro Andreolini, Lorenzo Alvisi, Mike Dahlin and Allen Clement. Their work appears in journals such as Information Sciences, IEEE Transactions on Information Forensics and Security, The Journal of Chemical Physics, Value in Health and IEEE Transactions on Cloud Computing.

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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