Davide Maiorca

20 papers receiving 598 citations

Peers

Davide Maiorca
Comparison fields: 5 of 30
  • Signal Processing 573
  • Software 142
  • Computer Networks and Communications 422
  • Information Systems 310
  • Artificial Intelligence 229
Replace Ekta Gandotra with:
Ekta Gandotra India
Mansour Ahmadi Italy
Clemens Kolbitsch United States
Santanu Kumar Dash United Kingdom
Daniele Ucci Italy
Xinhui Han China
Dhilung Kirat United States
Hassen Saı̈di United States
Mingshen Sun Hong Kong
Silvio Cesare Australia
Davide Maiorca relative to Ekta Gandotra India Ekta Gandotra's profile →
Citations per field
00.5×1.5×1.8×
Ekta Gandotra · 1×
Citations per year

Countries citing papers authored by Davide Maiorca

Since Specialization
Citations

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

Fields of papers citing papers by Davide Maiorca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Davide Maiorca, 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 Davide Maiorca Line = papers co-authored together Davide Maiorca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015117
2 201978
3 201774
4 201373
5 201949
6 201442
7 201530
8 201530
9 201526
10 201822
11 202121
12 201614
13 202013
14 202012
15 202412
16
Detection of malicious scripting code through discriminant and adversary-aware API analysis
20174
17
R-PackDroid: Practical On-Device Detection of Android Ransomware.
20182
18 20241
19
Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware.
20181
20 20221

About Davide Maiorca

Davide Maiorca is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Software, having authored 24 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (20 papers), Network Security and Intrusion Detection (15 papers), Software Testing and Debugging Techniques (7 papers), Spam and Phishing Detection (6 papers), Adversarial Robustness in Machine Learning (5 papers), Digital and Cyber Forensics (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Signal Processing (573 citations), Software (142 citations), Computer Networks and Communications (422 citations), Information Systems (310 citations) and Artificial Intelligence (229 citations). Davide Maiorca has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Giorgio Giacinto, Igino Corona, Davide Ariu, Battista Biggio, Fabio Martinelli, Corrado Aaron Visaggio, Francesco Mercaldo, Thorsten Holz, Thomas Hupperich and Mansour Ahmadi. Their work appears in journals such as Computers & Security, Journal of Information Security and Applications, Journal of Cybersecurity, ACM Computing Surveys and Sensors.

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.

Explore authors with similar magnitude of impact