Leonardo Aniello

2.2k total citations · 2 hit papers
39 papers, 1.4k citations indexed

About

Leonardo Aniello is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Leonardo Aniello has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 21 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Leonardo Aniello's work include Network Security and Intrusion Detection (15 papers), Advanced Malware Detection Techniques (11 papers) and Blockchain Technology Applications and Security (8 papers). Leonardo Aniello is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Advanced Malware Detection Techniques (11 papers) and Blockchain Technology Applications and Security (8 papers). Leonardo Aniello collaborates with scholars based in Italy, United Kingdom and Romania. Leonardo Aniello's co-authors include Roberto Baldoni, Daniele Ucci, Leonardo Querzoni, Federico Lombardi, Vladimiro Sassone, Andrea Margheri, Silvia Bonomi, Zbigniew Jerzak, Thomas Heinze and Basel Halak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Future Generation Computer Systems.

In The Last Decade

Leonardo Aniello

39 papers receiving 1.4k citations

Hit Papers

Survey of machine learning techniques for malware analysis 2017 2026 2020 2023 2018 2017 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 →
  2. Pbft Vs Proof-Of-Authority: Applying The Cap Theorem To Permissioned Blockchain
    2017 294 citations Leonardo Aniello, Roberto Baldoni et al. ePrints Soton (University of Southampton) profile →

Peers

Leonardo Aniello
DaeHun Nyang South Korea
Giovanni Russello New Zealand
Dhiren Patel India
Massimiliano Rak Italy
Pavel Čeleda Czechia
Alessio Merlo Italy
Shingo Yamaguchi Japan
Sajjan G. Shiva United States
Frederick T. Sheldon United States
Yan Jia China
DaeHun Nyang South Korea
Leonardo Aniello
Citations per year, relative to Leonardo Aniello Leonardo Aniello (= 1×) peers DaeHun Nyang

Countries citing papers authored by Leonardo Aniello

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Aniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Aniello

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Aniello. A scholar is included among the top collaborators of Leonardo Aniello 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 Leonardo Aniello. Leonardo Aniello 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.
Aniello, Leonardo, et al.. (2025). A flying ad-hoc network dataset for early time series classification of grey hole attacks. Scientific Data. 12(1). 1431–1431. 2 indexed citations
2.
Aniello, Leonardo, et al.. (2024). MANET-Rank: A Framework for Defence Protocols against Packet Dropping Attacks in MANETs. 1. 1–8. 1 indexed citations
3.
Aniello, Leonardo, et al.. (2024). ScaNeF-IoT: Scalable Network Fingerprinting for IoT Device. ePrints Soton (University of Southampton). 1–9. 1 indexed citations
4.
Aniello, Leonardo, et al.. (2024). Multi-Transaction and Carbon-Aware Strategies for Profit-Oriented FDIAs on Electricity Trading Systems. ePrints Soton (University of Southampton). 1–5. 1 indexed citations
5.
Lombardi, Federico, et al.. (2023). Security and dependability analysis of blockchain systems in partially synchronous networks with Byzantine faults. International Journal of Parallel Emergent and Distributed Systems. 41(1). 167–187. 2 indexed citations
6.
Aniello, Leonardo, et al.. (2023). A Review of Upgradeable Smart Contract Patterns based on OpenZeppelin Technique. SHILAP Revista de lepidopterología. 6(1). 1–8. 11 indexed citations
7.
Aniello, Leonardo, et al.. (2020). A Methodology to Select Topology Generators for Ad Hoc Mesh Network Simulations. Journal of Communications. 741–746. 4 indexed citations
8.
Grigorescu, Sorin, Tiberiu Cocias, Bogdan Trăsnea, et al.. (2020). Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles. Sensors. 20(19). 5450–5450. 12 indexed citations
9.
Massarelli, Luca, et al.. (2020). AndroDFA: Android Malware Classification Based on Resource Consumption. Information. 11(6). 326–326. 7 indexed citations
10.
Lombardi, Federico, et al.. (2019). PASCAL: An architecture for proactive auto-scaling of distributed services. Future Generation Computer Systems. 98. 342–361. 20 indexed citations
11.
Ucci, Daniele, Leonardo Aniello, & Roberto Baldoni. (2018). Survey of machine learning techniques for malware analysis. Computers & Security. 81. 123–147. 353 indexed citations breakdown →
12.
Ucci, Daniele, Leonardo Aniello, & Roberto Baldoni. (2017). Survey on the Usage of Machine Learning Techniques for Malware Analysis.. arXiv (Cornell University). 19 indexed citations
13.
Aniello, Leonardo, et al.. (2017). A Prototype Evaluation of a Tamper-Resistant High Performance Blockchain-Based Transaction Log for a Distributed Database. ePrints Soton (University of Southampton). 151–154. 49 indexed citations
14.
Aniello, Leonardo, et al.. (2017). Malware family identification with BIRCH clustering. IRIS Research product catalog (Sapienza University of Rome). 19 indexed citations
15.
Lombardi, Federico, Leonardo Aniello, Silvia Bonomi, & Leonardo Querzoni. (2017). Elastic Symbiotic Scaling of Operators and Resources in Stream Processing Systems. IEEE Transactions on Parallel and Distributed Systems. 29(3). 572–585. 45 indexed citations
16.
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
17.
Aniello, Leonardo, et al.. (2015). NIRVANA: A Non-intrusive Black-Box Monitoring Framework for Rack-Level Fault Detection. ePrints Soton (University of Southampton). 7. 11–20. 6 indexed citations
18.
Aniello, Leonardo, et al.. (2014). The overlay scan attack. IRIS Research product catalog (Sapienza University of Rome). 107–117. 2 indexed citations
19.
Aniello, Leonardo, Andrea Bondavalli, Andrea Ceccarelli, et al.. (2014). Big Data in Critical Infrastructures Security Monitoring: Challenges and Opportunities. IRIS Research product catalog (Sapienza University of Rome). 3 indexed citations
20.
Aniello, Leonardo, Roberto Baldoni, & Leonardo Querzoni. (2013). Adaptive online scheduling in storm. IRIS Research product catalog (Sapienza University of Rome). 207–218. 178 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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