Danilo Bruschi

2.6k citations
73 papers · 2.0k · h-index 22

Impact in

Papers in

Danilo Bruschi

70 papers receiving 1.8k citations

Peers

Danilo Bruschi
Comparison fields: 5 of 63
  • Signal Processing 851
  • Software 307
  • Computer Networks and Communications 1.4k
  • Hardware and Architecture 176
  • Artificial Intelligence 793
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Bruschi

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Bruschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001204
2 2006180
3 2004143
4 2001121
5 1997111
6 2009109
7 2008101
8 200990
9
A fistful of red-pills: how to automatically generate procedures to detect CPU emulators
200988
10 199986
11 200369
12 200769
13 200753
14 201045
15 200244
16 200944
17
Using code normalization for fighting self-mutating malware
200640
18 201233
19 200629
20 200823

About Danilo Bruschi

Danilo Bruschi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (29 papers), Security and Verification in Computing (22 papers), Network Security and Intrusion Detection (13 papers), Software Testing and Debugging Techniques (10 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Complexity and Algorithms in Graphs (7 papers), semigroups and automata theory (6 papers) and Mobile Ad Hoc Networks (6 papers). The work is most often cited by research in Signal Processing (851 citations), Software (307 citations), Computer Networks and Communications (1.4k citations), Hardware and Architecture (176 citations) and Artificial Intelligence (793 citations). Danilo Bruschi has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Lorenzo Martignoni, E. Rosti, Roberto Paleari, Mattia Monga, Stefano Basagni, Giampaolo Fresi Roglia, Andrea Lanzi, Lorenzo Cavallaro, Imrich Chlamtac and Deborah Joseph. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Algorithmica, IEEE Security & Privacy and International Journal of Foundations of Computer Science.

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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