Antonio Pescapè

15.7k total citations · 10 hit papers
243 papers, 10.5k citations indexed

About

Antonio Pescapè is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Antonio Pescapè has authored 243 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Computer Networks and Communications, 103 papers in Artificial Intelligence and 49 papers in Electrical and Electronic Engineering. Recurrent topics in Antonio Pescapè's work include Network Security and Intrusion Detection (93 papers), Internet Traffic Analysis and Secure E-voting (88 papers) and Network Traffic and Congestion Control (66 papers). Antonio Pescapè is often cited by papers focused on Network Security and Intrusion Detection (93 papers), Internet Traffic Analysis and Secure E-voting (88 papers) and Network Traffic and Congestion Control (66 papers). Antonio Pescapè collaborates with scholars based in Italy, United States and France. Antonio Pescapè's co-authors include Valerio Persico, Giuseppe Aceto, Alessio Botta, Walter de Donato, Antonio Montieri, Alberto Dainotti, Domenico Ciuonzo, kc claffy, Giorgio Ventre and Stefania Santini and has published in prestigious journals such as Scientific Reports, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Antonio Pescapè

239 papers receiving 9.9k citations

Hit Papers

Integration of Cloud computing and Internet of Things: A ... 2012 2026 2016 2021 2015 2020 2012 2019 2013 500 1000 1.5k
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. Integration of Cloud computing and Internet of Things: A survey
    2015 1.5k citations Walter de Donato, Valerio Persico et al. profile →
  2. Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
    2020 559 citations Giuseppe Aceto, Valerio Persico et al. profile →
  3. Issues and future directions in traffic classification
    2012 446 citations Alberto Dainotti, Antonio Pescapè et al. profile →
  4. Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
    2019 375 citations Giuseppe Aceto, Domenico Ciuonzo et al. IEEE Transactions on Network and Service Management profile →
  5. Cloud monitoring: A survey
    2013 371 citations Giuseppe Aceto, Walter de Donato et al. Computer Networks profile →
  6. On the Integration of Cloud Computing and Internet of Things
    2014 357 citations Walter de Donato, Valerio Persico et al. profile →
  7. A tool for the generation of realistic network workload for emerging networking scenarios
    2012 339 citations Alberto Dainotti, Antonio Pescapè et al. Computer Networks profile →
  8. The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
    2018 284 citations Giuseppe Aceto, Valerio Persico et al. profile →
  9. A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges
    2019 268 citations Giuseppe Aceto, Valerio Persico et al. IEEE Communications Surveys & Tutorials profile →
  10. SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT
    2021 131 citations Antonio Montieri, Antonio Pescapè et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Pescapè Italy 47 7.3k 3.8k 2.6k 2.0k 1.4k 243 10.5k
Wei Yu United States 49 6.5k 0.9× 3.6k 1.0× 3.0k 1.1× 3.4k 1.7× 1.4k 1.0× 446 13.0k
Mohammad Mehedi Hassan Saudi Arabia 59 6.0k 0.8× 3.5k 0.9× 3.4k 1.3× 2.3k 1.2× 1.4k 1.0× 433 12.7k
Abdullah Gani Malaysia 60 8.0k 1.1× 3.3k 0.9× 5.4k 2.1× 3.2k 1.6× 1.5k 1.1× 284 15.0k
Feng Xia China 57 5.2k 0.7× 3.6k 1.0× 3.1k 1.2× 2.6k 1.3× 576 0.4× 470 12.8k
Antonio Skármeta Spain 52 5.6k 0.8× 2.6k 0.7× 2.3k 0.9× 3.2k 1.6× 877 0.6× 596 11.0k
Jong Hyuk Park South Korea 50 5.7k 0.8× 2.4k 0.6× 4.6k 1.8× 1.7k 0.9× 1.5k 1.1× 436 9.8k
Ali Kashif Bashir United Kingdom 51 4.5k 0.6× 3.1k 0.8× 2.4k 0.9× 2.6k 1.3× 994 0.7× 349 10.0k
Vinay Chamola India 55 3.7k 0.5× 2.4k 0.6× 3.4k 1.3× 2.5k 1.2× 821 0.6× 241 10.2k
Sahil Garg Canada 48 3.9k 0.5× 2.4k 0.6× 2.3k 0.9× 1.9k 1.0× 656 0.5× 254 7.3k
Erol Gelenbe United Kingdom 60 7.4k 1.0× 2.1k 0.6× 1.6k 0.6× 3.2k 1.6× 748 0.5× 496 12.6k

Countries citing papers authored by Antonio Pescapè

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Pescapè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Pescapè

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Pescapè. A scholar is included among the top collaborators of Antonio Pescapè 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 Antonio Pescapè. Antonio Pescapè 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.
Bovenzi, Giampaolo, et al.. (2025). Mapping the Landscape of Generative AI in Network Monitoring and Management. IEEE Transactions on Network and Service Management. 22(3). 2441–2472. 5 indexed citations
2.
Bovenzi, Giampaolo, et al.. (2025). Explainable federated class incremental learning for Encrypted Network Traffic classification. Computer Networks. 269. 111448–111448.
3.
Bovenzi, Giampaolo, et al.. (2024). Classifying attack traffic in IoT environments via few-shot learning. Journal of Information Security and Applications. 83. 103762–103762. 7 indexed citations
4.
Nascita, Alfredo, Giuseppe Aceto, Domenico Ciuonzo, et al.. (2024). A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection. IEEE Communications Surveys & Tutorials. 27(5). 3165–3198. 12 indexed citations
5.
Aceto, Giuseppe, et al.. (2024). XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 757–762. 1 indexed citations
6.
Aceto, Giuseppe, et al.. (2024). Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps. IEEE Open Journal of the Communications Society. 5. 1299–1324. 13 indexed citations
7.
Montieri, Antonio, et al.. (2024). Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems. IEEE Open Journal of the Communications Society. 5. 6736–6757. 3 indexed citations
8.
9.
Bovenzi, Giampaolo, Giuseppe Aceto, Domenico Ciuonzo, et al.. (2023). Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness. Computers & Security. 128. 103167–103167. 63 indexed citations
10.
Bovenzi, Giampaolo, Alfredo Nascita, Alessandro Finamore, et al.. (2023). Benchmarking Class Incremental Learning in Deep Learning Traffic Classification. IEEE Transactions on Network and Service Management. 21(1). 51–69. 23 indexed citations
11.
Aceto, Giuseppe, et al.. (2022). Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic. Computer Networks. 219. 109452–109452. 22 indexed citations
12.
Aceto, Giuseppe, Giampaolo Bovenzi, Domenico Ciuonzo, et al.. (2021). Characterization and Prediction of Mobile-App Traffic Using Markov Modeling. IEEE Transactions on Network and Service Management. 18(1). 907–925. 57 indexed citations
13.
Nascita, Alfredo, Antonio Montieri, Giuseppe Aceto, et al.. (2021). XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures. IEEE Transactions on Network and Service Management. 18(4). 4225–4246. 139 indexed citations
14.
Aceto, Giuseppe, Domenico Ciuonzo, Antonio Montieri, & Antonio Pescapè. (2019). Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges. IEEE Transactions on Network and Service Management. 16(2). 445–458. 375 indexed citations breakdown →
15.
Santini, Stefania, Alessandro Salvi, Antonio Saverio Valente, et al.. (2018). Platooning Maneuvers in Vehicular Networks: A Distributed and Consensus-Based Approach. IEEE Transactions on Intelligent Vehicles. 4(1). 59–72. 84 indexed citations
16.
Aceto, Giuseppe, et al.. (2018). Speeding-Up DPI Traffic Classification with Chaining. 1–6. 17 indexed citations
17.
Montieri, Antonio, Domenico Ciuonzo, Giuseppe Aceto, & Antonio Pescapè. (2018). Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web). IEEE Transactions on Dependable and Secure Computing. 17(3). 662–675. 76 indexed citations
18.
Aceto, Giuseppe, Alberto Dainotti, Walter de Donato, & Antonio Pescapè. (2010). PortLoad: Taking the Best of Two Worlds in Traffic Classification. 1–5. 76 indexed citations
19.
Dainotti, Alberto, Antonio Pescapè, & Giorgio Ventre. (2006). Wavelet-based Detection of DoS Attacks.. Global Communications Conference. 40 indexed citations
20.
Pescapè, Antonio, et al.. (2004). A DISTRIBUTED MULTIPLATFORM ARCHITECTURE FOR TRAFFIC GENERATION. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 659–670. 21 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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