Pere Barlet‐Ros

2.7k total citations
83 papers, 1.3k citations indexed

About

Pere Barlet‐Ros is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Pere Barlet‐Ros has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 48 papers in Artificial Intelligence and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Pere Barlet‐Ros's work include Internet Traffic Analysis and Secure E-voting (36 papers), Network Security and Intrusion Detection (33 papers) and Software-Defined Networks and 5G (24 papers). Pere Barlet‐Ros is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (36 papers), Network Security and Intrusion Detection (33 papers) and Software-Defined Networks and 5G (24 papers). Pere Barlet‐Ros collaborates with scholars based in Spain, China and United States. Pere Barlet‐Ros's co-authors include José Suárez‐Varela, Valentín Carela-Español, Albert Cabellos‐Aparicio, Tomasz Bujlow, Josep Solé‐Pareta, Ilias Leontiadis, Konstantina Papagiannaki, Shihan Xiao, Xiangle Cheng and Krzysztof Rusek and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Pere Barlet‐Ros

75 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pere Barlet‐Ros Spain 21 902 647 241 182 173 83 1.3k
Alessandro Finamore Italy 18 1.2k 1.3× 615 1.0× 255 1.1× 333 1.8× 203 1.2× 47 1.4k
Andrea Pugliese Italy 18 434 0.5× 409 0.6× 159 0.7× 121 0.7× 256 1.5× 87 886
John A. Copeland United States 20 1.0k 1.1× 308 0.5× 676 2.8× 209 1.1× 147 0.8× 127 1.4k
Alessandro D’Alconzo Austria 18 706 0.8× 393 0.6× 230 1.0× 261 1.4× 175 1.0× 47 1.0k
Hongsong Zhu China 19 452 0.5× 477 0.7× 253 1.0× 77 0.4× 247 1.4× 93 1.2k
Carol Fung United States 22 1.2k 1.3× 656 1.0× 143 0.6× 106 0.6× 369 2.1× 109 1.6k
Haowen Chan United States 14 3.1k 3.5× 739 1.1× 376 1.6× 214 1.2× 108 0.6× 19 3.4k
Joel Sommers United States 26 1.8k 2.0× 417 0.6× 833 3.5× 186 1.0× 133 0.8× 62 2.1k
Antonio Nucci United States 27 1.3k 1.5× 881 1.4× 402 1.7× 103 0.6× 469 2.7× 72 1.7k

Countries citing papers authored by Pere Barlet‐Ros

Since Specialization
Citations

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

Fields of papers citing papers by Pere Barlet‐Ros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pere Barlet‐Ros. 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 Pere Barlet‐Ros. The network helps show where Pere Barlet‐Ros may publish in the future.

Co-authorship network of co-authors of Pere Barlet‐Ros

This figure shows the co-authorship network connecting the top 25 collaborators of Pere Barlet‐Ros. A scholar is included among the top collaborators of Pere Barlet‐Ros 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 Pere Barlet‐Ros. Pere Barlet‐Ros 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.
Barlet‐Ros, Pere, et al.. (2025). BGP anomaly detection using the raw internet topology. Computer Networks. 273. 111753–111753.
2.
Suárez‐Varela, José, Xiang Shi, Shihan Xiao, et al.. (2024). GraphCC: A practical graph learning-based approach to Congestion Control in datacenters. Computer Networks. 257. 110981–110981.
3.
Suárez‐Varela, José, et al.. (2024). GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring. Computers & Industrial Engineering. 200. 110830–110830. 4 indexed citations
4.
Barlet‐Ros, Pere, et al.. (2024). A First Look into Utiq: Next-Generation Cookies at the ISP Level. UPCommons institutional repository (Universitat Politècnica de Catalunya). 315–320.
5.
Barlet‐Ros, Pere, et al.. (2024). Towards a Graph-based Foundation Model for Network Traffic Analysis. 41–45. 2 indexed citations
6.
Shen, Siqi, et al.. (2023). A One-Pass Clustering Based Sketch Method for Network Monitoring. IEEE/ACM Transactions on Networking. 31(6). 2604–2613.
7.
Ferriol-Galmés, Miquel, Xiangle Cheng, Xiang Shi, et al.. (2022). FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8907–8911. 3 indexed citations
8.
Solé‐Pareta, Josep, et al.. (2022). Demystifying Content-Blockers: Measuring Their Impact on Performance and Quality of Experience. IEEE Transactions on Network and Service Management. 19(3). 3562–3573. 4 indexed citations
9.
Solé‐Pareta, Josep, et al.. (2020). Network Measurements for Web Tracking Analysis and Detection: A Tutorial. IEEE Instrumentation & Measurement Magazine. 23(9). 50–57. 3 indexed citations
10.
Suárez‐Varela, José & Pere Barlet‐Ros. (2018). Flow monitoring in Software-Defined Networks: Finding the accuracy/performance tradeoffs. Computer Networks. 135. 289–301. 21 indexed citations
11.
Barlet‐Ros, Pere, et al.. (2017). Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. IEEE/ACM Transactions on Networking. 26(1). 90–103. 4 indexed citations
12.
Bujlow, Tomasz, et al.. (2017). A Survey on Web Tracking: Mechanisms, Implications, and Defenses. Proceedings of the IEEE. 105(8). 1476–1510. 76 indexed citations
13.
Steiner, Moritz, Pere Barlet‐Ros, & Olivier Bonaventure. (2015). Traffic Monitoring and Analysis. Lecture notes in computer science. 2 indexed citations
14.
Leontiadis, Ilias, et al.. (2015). Identifying the root cause of video streaming issues on mobile devices. UPCommons institutional repository (Universitat Politècnica de Catalunya). 1–13. 22 indexed citations
15.
Cabellos‐Aparicio, Albert, et al.. (2012). fHA: A flexible and distributed Home Agent architecture for Mobile-IP based networks. Information Sciences. 211. 68–80. 1 indexed citations
16.
Carela-Español, Valentín, Pere Barlet‐Ros, Albert Cabellos‐Aparicio, & Josep Solé‐Pareta. (2010). Analysis of the impact of sampling on NetFlow traffic classification. Computer Networks. 55(5). 1083–1099. 71 indexed citations
17.
Barlet‐Ros, Pere, et al.. (2009). AUTOMATIC VALIDATION AND EVIDENCE COLLECTION OF SECURITY RELATED NETWORK ANOMALIES. 2 indexed citations
18.
Barlet‐Ros, Pere, et al.. (2008). Robust network monitoring in the presence of non-cooperative traffic queries. Computer Networks. 53(3). 310–321. 2 indexed citations
19.
Barlet‐Ros, Pere, et al.. (2008). Robust resource allocation for online network monitoring. 129–134.
20.
Barlet‐Ros, Pere, et al.. (2007). Load shedding in network monitoring applications. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5. 24 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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