Daniele Ucci

632 total citations · 1 hit paper
11 papers, 408 citations indexed

About

Daniele Ucci is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Daniele Ucci has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Daniele Ucci's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Privacy-Preserving Technologies in Data (2 papers). Daniele Ucci is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Privacy-Preserving Technologies in Data (2 papers). Daniele Ucci collaborates with scholars based in Italy, United Kingdom and United States. Daniele Ucci's co-authors include Leonardo Aniello, Roberto Baldoni, Giuseppe Santucci, Marco Angelini, Massimo Mecella, Roberto Perdisci, Federica Bisio, Mustaque Ahamad, Luca Massarelli and Jae Wook Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Security and Information.

In The Last Decade

Daniele Ucci

11 papers receiving 380 citations

Hit Papers

Survey of machine learning techniques for malware analysis 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Survey of machine learning techniques for malware analysis
    2018 353 citations Daniele Ucci, Leonardo Aniello et al. Computers & Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Ucci Italy 5 348 333 185 162 36 11 408
Hugo Gonzalez Canada 9 294 0.8× 313 0.9× 164 0.9× 220 1.4× 50 1.4× 22 427
Dhilung Kirat United States 9 363 1.0× 303 0.9× 195 1.1× 166 1.0× 80 2.2× 12 413
Silvio Cesare Australia 8 342 1.0× 268 0.8× 236 1.3× 118 0.7× 100 2.8× 14 403
Amin Kharraz United States 7 333 1.0× 254 0.8× 294 1.6× 123 0.8× 26 0.7× 14 427
Nedim Šrndić Germany 6 385 1.1× 289 0.9× 204 1.1× 266 1.6× 24 0.7× 7 463
Pubali Datta United States 6 132 0.4× 175 0.5× 134 0.7× 119 0.7× 23 0.6× 11 297
Greg Banks United States 5 194 0.6× 129 0.4× 103 0.6× 142 0.9× 58 1.6× 6 257
Clemens Kolbitsch United States 6 531 1.5× 394 1.2× 315 1.7× 251 1.5× 123 3.4× 6 595
Ekta Gandotra India 11 472 1.4× 424 1.3× 260 1.4× 162 1.0× 94 2.6× 31 520
Cho Do Xuan Vietnam 12 286 0.8× 362 1.1× 253 1.4× 187 1.2× 29 0.8× 40 466

Countries citing papers authored by Daniele Ucci

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Ucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Ucci

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

All Works

11 of 11 papers shown
1.
Ucci, Daniele, et al.. (2023). Towards a Near-Real-Time Protocol Tunneling Detector Based on Machine Learning Techniques. SHILAP Revista de lepidopterología. 3(4). 794–807. 1 indexed citations
2.
Ucci, Daniele, et al.. (2021). Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 3 indexed citations
3.
Ucci, Daniele, Roberto Perdisci, Jae Wook Lee, & Mustaque Ahamad. (2020). Towards a Practical Differentially Private Collaborative Phone Blacklisting System. Annual Computer Security Applications Conference. 100–115. 2 indexed citations
4.
Massarelli, Luca, et al.. (2020). AndroDFA: Android Malware Classification Based on Resource Consumption. Information. 11(6). 326–326. 7 indexed citations
5.
Ucci, Daniele, Leonardo Aniello, & Roberto Baldoni. (2018). Survey of machine learning techniques for malware analysis. Computers & Security. 81. 123–147. 353 indexed citations breakdown →
6.
Ucci, Daniele, Leonardo Aniello, & Roberto Baldoni. (2017). Survey on the Usage of Machine Learning Techniques for Malware Analysis.. arXiv (Cornell University). 19 indexed citations
7.
Angelini, Marco, et al.. (2017). The goods, the bads and the uglies: Supporting decisions in malware detection through visual analytics. IRIS Research product catalog (Sapienza University of Rome). 97. 1–8. 10 indexed citations
8.
Ucci, Daniele, Leonardo Aniello, & Roberto Baldoni. (2017). Share a pie?. IRIS Research product catalog (Sapienza University of Rome). 95–106. 1 indexed citations
9.
Ucci, Daniele, et al.. (2016). An Architecture for Semi-Automatic Collaborative Malware Analysis for CIs. IRIS Research product catalog (Sapienza University of Rome). 137–142. 6 indexed citations
10.
Ucci, Daniele, et al.. (2016). Towards the Usage of Invariant-Based App Behavioral Fingerprinting for the Detection of Obfuscated Versions of Known Malware. IRIS Research product catalog (Sapienza University of Rome). 40. 121–126. 4 indexed citations
11.
Baldoni, Roberto, et al.. (2014). A Software Architecture for Progressive Scanning of On-line Communities. IRIS Research product catalog (Sapienza University of Rome). 2. 207–212. 2 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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