Davide Maiorca

1.3k total citations
23 papers, 613 citations indexed

About

Davide Maiorca is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Davide Maiorca has authored 23 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Signal Processing, 15 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Davide Maiorca's work include Advanced Malware Detection Techniques (20 papers), Network Security and Intrusion Detection (15 papers) and Software Testing and Debugging Techniques (7 papers). Davide Maiorca is often cited by papers focused on Advanced Malware Detection Techniques (20 papers), Network Security and Intrusion Detection (15 papers) and Software Testing and Debugging Techniques (7 papers). Davide Maiorca collaborates with scholars based in Italy, Germany and Czechia. Davide Maiorca's co-authors include Giorgio Giacinto, Igino Corona, Davide Ariu, Battista Biggio, Francesco Mercaldo, Fabio Martinelli, Corrado Aaron Visaggio, Thorsten Holz, Marc Kührer and Mansour Ahmadi and has published in prestigious journals such as Sensors, ACM Computing Surveys and Computers & Security.

In The Last Decade

Davide Maiorca

20 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Davide Maiorca Italy 13 564 417 306 228 142 23 613
Ekta Gandotra India 11 472 0.8× 424 1.0× 260 0.8× 162 0.7× 94 0.7× 31 520
Santanu Kumar Dash United Kingdom 7 437 0.8× 375 0.9× 244 0.8× 144 0.6× 194 1.4× 21 518
Mansour Ahmadi Italy 9 606 1.1× 533 1.3× 304 1.0× 168 0.7× 176 1.2× 14 653
Clemens Kolbitsch United States 6 531 0.9× 394 0.9× 315 1.0× 251 1.1× 123 0.9× 6 595
Hassen Saı̈di United States 8 336 0.6× 211 0.5× 202 0.7× 244 1.1× 117 0.8× 16 438
Mingshen Sun Hong Kong 10 374 0.7× 218 0.5× 236 0.8× 184 0.8× 192 1.4× 17 480
Silvio Cesare Australia 8 342 0.6× 268 0.6× 236 0.8× 118 0.5× 100 0.7× 14 403
Daniele Ucci Italy 5 348 0.6× 333 0.8× 185 0.6× 162 0.7× 36 0.3× 11 408
Xinhui Han China 8 337 0.6× 203 0.5× 224 0.7× 143 0.6× 120 0.8× 31 394
Dhilung Kirat United States 9 363 0.6× 303 0.7× 195 0.6× 166 0.7× 80 0.6× 12 413

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-authorship network of co-authors of Davide Maiorca

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

All Works

20 of 20 papers shown
1.
Cara, Fabrizio, et al.. (2024). Oblivion: an open-source system for large-scale analysis of macro-based office malware. Journal of Computer Virology and Hacking Techniques. 20(4). 783–802. 1 indexed citations
2.
Maiorca, Davide, et al.. (2024). A risk estimation study of native code vulnerabilities in Android applications. UNICA IRIS Institutional Research Information System (University of Cagliari). 10(1).
3.
Maiorca, Davide, et al.. (2024). Enhancing android malware detection explainability through function call graph APIs. Journal of Information Security and Applications. 80. 103691–103691. 9 indexed citations
4.
Maiorca, Davide, et al.. (2024). HTTP/3 will not Save you from Request Smuggling: A Methodology to Detect HTTP/3 Header (mis)Validations. UNICA IRIS Institutional Research Information System (University of Cagliari). 97–104.
5.
Maiorca, Davide, et al.. (2022). A Longitudinal Study of Cryptographic API: A Decade of Android Malware. UNICA IRIS Institutional Research Information System (University of Cagliari). 121–133. 1 indexed citations
6.
Melis, Marco, Ambra Demontis, Davide Maiorca, et al.. (2021). Do gradient-based explanations tell anything about adversarial robustness to android malware?. UNICA IRIS Institutional Research Information System (University of Cagliari). 21 indexed citations
7.
Maiorca, Davide, Ambra Demontis, Battista Biggio, Fabio Roli, & Giorgio Giacinto. (2020). Adversarial Detection of Flash Malware: Limitations and Open Issues. Computers & Security. 96. 101901–101901. 11 indexed citations
8.
Giacinto, Giorgio, et al.. (2020). On the Feasibility of Adversarial Sample Creation Using the Android System API. Information. 11(9). 433–433. 13 indexed citations
9.
Maiorca, Davide, Battista Biggio, & Giorgio Giacinto. (2019). Towards Adversarial Malware Detection. ACM Computing Surveys. 52(4). 1–36. 48 indexed citations
10.
Maiorca, Davide, et al.. (2019). On the effectiveness of system API-related information for Android ransomware detection. Computers & Security. 86. 168–182. 77 indexed citations
11.
Maiorca, Davide, et al.. (2018). R-PackDroid: Practical On-Device Detection of Android Ransomware.. arXiv (Cornell University). 2 indexed citations
12.
Maiorca, Davide, Battista Biggio, & Giorgio Giacinto. (2018). Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware.. arXiv (Cornell University). 1 indexed citations
13.
Maiorca, Davide, Battista Biggio, & Giorgio Giacinto. (2018). Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks. arXiv (Cornell University). 22 indexed citations
14.
Hoffmann, Johannes, et al.. (2016). Evaluating Analysis Tools for Android Apps. UNICA IRIS Institutional Research Information System (University of Cagliari). 139–141. 14 indexed citations
15.
Maiorca, Davide, et al.. (2015). Stealth attacks: An extended insight into the obfuscation effects on Android malware. Computers & Security. 51. 16–31. 115 indexed citations
16.
Ariu, Davide, et al.. (2015). Clustering android malware families by http traffic. UNICA IRIS Institutional Research Information System (University of Cagliari). 128–135. 30 indexed citations
17.
Hupperich, Thomas, Davide Maiorca, Marc Kührer, Thorsten Holz, & Giorgio Giacinto. (2015). On the Robustness of Mobile Device Fingerprinting. UNICA IRIS Institutional Research Information System (University of Cagliari). 191–200. 30 indexed citations
18.
Maiorca, Davide, Davide Ariu, Igino Corona, & Giorgio Giacinto. (2015). A Structural and Content-based Approach for a Precise and Robust Detection of Malicious PDF Files. UNICA IRIS Institutional Research Information System (University of Cagliari). 27–36. 26 indexed citations
19.
Corona, Igino, Davide Maiorca, Davide Ariu, & Giorgio Giacinto. (2014). Lux0R. UNICA IRIS Institutional Research Information System (University of Cagliari). 47–57. 42 indexed citations
20.
Maiorca, Davide, Igino Corona, & Giorgio Giacinto. (2013). Looking at the bag is not enough to find the bomb. UNICA IRIS Institutional Research Information System (University of Cagliari). 119–130. 72 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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