Antonio Pescapè

15.7k citations

243 papers · 10.5k indexed · 10 hit papers · h-index 47

Impact in

Computer Networks and Communications top 0.05%
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
Signal Processing top 0.5%
- Advanced Malware Detection Techniques

Papers in

Computer Networks and Communications 211
- Network Security and Intrusion Detection 93
- Network Traffic and Congestion Control 66
- Software-Defined Networks and 5G 41
- IoT and Edge/Fog Computing 32
- Wireless Networks and Protocols 30
Artificial Intelligence 103
- Internet Traffic Analysis and Secure E-voting 88

Co-authors: Valerio Persico Giuseppe Aceto Alessio Botta Walter de Donato Antonio Montieri Alberto Dainotti Domenico Ciuonzo kc claffy
Journals: Computer Networks (18 papers)IEEE Transactions on Network and Service Management (8 papers)Journal of Network and Computer Applications (7 papers)IEEE Communications Magazine (5 papers)IEEE Access (4 papers)
Partner nations: Italy United States France

In The Last Decade

Antonio Pescapè

239 papers receiving 9.9k citations

Hit Papers

10 papers align trajectories log scale

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT 2021 · 131 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 IEEE Access
2020 Journal of Industrial Information Integration
2019 IEEE Communications Surveys & Tutorials
2019 IEEE Transactions on Network and Service Management
2018 Journal of Network and Computer Applications
2015 Future Generation Computer Systems
2014 On the Integration of Cloud Computing and Internet of Things
2013 Computer Networks
2012 Computer Networks
2012 IEEE Network

Peers

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

The 25 scholars most cited alongside Antonio Pescapè, 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 Antonio Pescapè Line = papers co-authored together Antonio Pescapè links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Explainable federated class incremental learning for Encrypted Network Traffic classification Computer Networks ·一弥遠藤, О.А. Мех, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè	2025	0
2	Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning Computer Networks ·О.А. Мех, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè	2025	1
3	BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction Transactions on Emerging Telecommunications Technologies ·Anichur Rahman, Md. Saikat Islam Khan, Antonio Montieri, Md. Jahidul Islam, Md. Razaul Karim, Bryan Eleogram, Dipanjali Kundu, Mostofa Kamal Nasir, Antonio Pescapè	2024	16
4	Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems IEEE Open Journal of the Communications Society ·Enrico Boi, Antonio Montieri, Valerio Persico, Oksana Kisil, Vanessa Suárez Sánchez, Antonio Pescapè	2024	3
5	XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) ·О.А. Мех, Pa. Voisin, Johan Steven Alcantara Cortes, Giuseppe Aceto, Antonio Pescapè	2024	1
6	Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps IEEE Open Journal of the Communications Society ·Pa. Voisin, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè	2024	13
7	Classifying attack traffic in IoT environments via few-shot learning Journal of Information Security and Applications ·Giampaolo Bovenzi, Enrico Boi, Antonio Montieri, Valerio Persico, Antonio Pescapè	2024	7
8	Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI IEEE Transactions on Network and Service Management ·Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè	2023	31
9	Benchmarking Class Incremental Learning in Deep Learning Traffic Classification IEEE Transactions on Network and Service Management ·Giampaolo Bovenzi, Alfredo Nascita, 繁雄三枝, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi	2023	23
10	Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning Giampaolo Bovenzi, Enrico Boi, Antonio Montieri, Valerio Persico, Antonio Pescapè	2023	4
11	Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic Computer Networks ·Pa. Voisin, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè	2022	22
12	DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS IEEE Access ·J Montes Reyes, Shahab S. Band, Antonio Pescapè, Amir Mosavi	2021	10
13	Packet-level prediction of mobile-app traffic using multitask Deep Learning Computer Networks ·Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè	2021	32
14	XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures IEEE Transactions on Network and Service Management ·Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè	2021	139
15	Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges IEEE Transactions on Network and Service Management ·Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè Hit paper breakdown →	2019	375
16	A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools IEEE Transactions on Network Science and Engineering ·Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè	2019	64
17	Platooning Maneuvers in Vehicular Networks: A Distributed and Consensus-Based Approach IEEE Transactions on Intelligent Vehicles ·Stefania Santini, Alessandro Salvi, Antonio Saverio Valente, Antonio Pescapè, Michele Segata, Renato Lo Cigno	2018	84
18	Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web) IEEE Transactions on Dependable and Secure Computing ·Antonio Montieri, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè	2018	76
19	Sibyl : A Practical Internet Route Oracle Lancaster EPrints (Lancaster University) ·Ítalo Cunha, Pietro Marchetta, Matt Calder, Hardi Trivedi, Brandon Schlinker, Angel Hor Yan Lai, Antonio Pescapè, Vasileios Giotsas, Harsha V. Madhyastha, Ethan Katz-Bassett	2016	20
20	A practical demonstration of network traffic generation Stefano Avallone, Ismanto Ismanto, Antonio Pescapè, Giorgio Ventre	2004	12

About Antonio Pescapè

Antonio Pescapè is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Signal Processing and Information Systems, having authored 243 papers that have together received 10.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (93 papers), Internet Traffic Analysis and Secure E-voting (88 papers), Network Traffic and Congestion Control (66 papers), Software-Defined Networks and 5G (41 papers), IoT and Edge/Fog Computing (32 papers), Wireless Networks and Protocols (30 papers), Advanced Malware Detection Techniques (26 papers) and Cloud Computing and Resource Management (22 papers). The work is most often cited by research in Computer Networks and Communications (7.3k citations), Signal Processing (1.4k citations), Artificial Intelligence (3.8k citations), Information Systems (2.6k citations) and Health Informatics (70 citations). Antonio Pescapè has collaborated with scholars based in Italy, United States and France. Frequent 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. Their work appears in journals such as Computer Networks, IEEE Transactions on Network and Service Management, Journal of Network and Computer Applications, IEEE Communications Magazine and IEEE Access.

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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