Albert Cabellos-Aparicio

About Albert Cabellos-Aparicio

Albert Cabellos-Aparicio, With an exceptional h-index of 44 and a recent h-index of 35 (since 2020), a distinguished researcher at Universidad Politécnica de Cataluña, specializes in the field of Computer Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages

Topological Graph Signal Compression

Topological network traffic compression

RouteNet-Fermi: Network modeling with graph neural networks

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks

RFC 9437: Publish/Subscribe Functionality for the Locator/ID Separation Protocol (LISP)

Leveraging Spatial and Temporal Correlations for Network Traffic Compression

Albert Cabellos-Aparicio Information

University

Position

___

Citations(all)

6617

Citations(since 2020)

4374

Cited By

3791

hIndex(all)

44

hIndex(since 2020)

35

i10Index(all)

121

i10Index(since 2020)

90

Email

University Profile Page

Universidad Politécnica de Cataluña

Google Scholar

View Google Scholar Profile

Albert Cabellos-Aparicio Skills & Research Interests

Computer Networks

Top articles of Albert Cabellos-Aparicio

Title

Journal

Author(s)

Publication Date

Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages

Bernat Ollé

Pau Talarn

Albert Cabellos-Aparicio

Filip Lemic

Eduard Alarcón

...

2023/5/21

Topological Graph Signal Compression

arXiv preprint arXiv:2308.11068

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Albert Cabellos-Aparicio

Pere Barlet-Ros

...

2023/8/21

Topological network traffic compression

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Albert Cabellos-Aparicio

Pere Barlet-Ros

...

2023/12/8

RouteNet-Fermi: Network modeling with graph neural networks

IEEE/ACM transactions on networking

Miquel Ferriol-Galmés

Jordi Paillisse

José Suárez-Varela

Krzysztof Rusek

Shihan Xiao

...

2023/5/8

GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters

arXiv preprint arXiv:2308.04905

Guillermo Bernárdez

José Suárez-Varela

Xiang Shi

Shihan Xiao

Xiangle Cheng

...

2023/8/9

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks

Paul Almasan

Krzysztof Rusek

Shihan Xiao

Xiang Shi

Xiangle Cheng

...

2023/12/8

RFC 9437: Publish/Subscribe Functionality for the Locator/ID Separation Protocol (LISP)

A Rodriguez-Natal

V Ermagan

A Cabellos

S Barkai

M Boucadair

2023/8/1

Leveraging Spatial and Temporal Correlations for Network Traffic Compression

arXiv preprint arXiv:2301.08962

Paul Almasan

Krzysztof Rusek

Shihan Xiao

Xiang Shi

Xiangle Cheng

...

2023/1/21

Performance-oriented digital twins for packet and optical networks

Alberto Cabellos Aparicio

Christopher Janz

Felician Paul Almasan Puscas

Miquel Ferriol Galmés

Pere Barlet Ros

...

2023/10/23

RiskNet: Neural Risk Assessment in Networks of Unreliable Resources

Journal of Network and Systems Management

Krzysztof Rusek

Piotr Boryło

Piotr Jaglarz

Fabien Geyer

Albert Cabellos

...

2023/7

Magnneto: A graph neural network-based multi-agent system for traffic engineering

IEEE Transactions on Cognitive Communications and Networking

Guillermo Bernárdez

José Suárez-Varela

Albert López

Xiang Shi

Shihan Xiao

...

2023/1/10

Building a Graph-based Deep Learning network model from captured traffic traces

arXiv preprint arXiv:2310.11889

Carlos Güemes-Palau

Miquel Ferriol Galmés

Albert Cabellos-Aparicio

Pere Barlet-Ros

2023/10/18

Bayesian inference of spatial and temporal relations in AI patents for EU countries

Scientometrics

Krzysztof Rusek

Agnieszka Kleszcz

Albert Cabellos-Aparicio

2023/6

Enhancing 5G Radio Planning with Graph Representations and Deep Learning

Paul Almasan

José Suárez-Varela

Andra Lutu

Albert Cabellos-Aparicio

Pere Barlet-Ros

2023/9/10

Detecting Contextual Network Anomalies with Graph Neural Networks

Hamid Latif

José Suárez-Varela

Albert Cabellos-Aparicio

Pere Barlet-Ros

2023/12/8

Graphene Enables Ultimate Multiwideband THz Wavefront Control

IEEE VEHICULAR TECHNOLOGY MAGAZINE

Hamidreza Taghvaee

Alexandros Pitilakis

Odysseas Tsilipakos

Anna C Tasolamprou

Nikolaos V Kantartzis

...

2022/6

Digital twin network: Opportunities and challenges

Paul Almasan

Miquel Ferriol-Galmés

Jordi Paillisse

José Suárez-Varela

Diego Perino

...

2022/1/4

A Reflection on the Organic Growth of the Internet Protocol Stack

arXiv preprint arXiv:2208.05420

Jordi Paillisse

Alberto Rodriguez-Natal

Fabio Maino

Albert Cabellos

2022/8/10

Unveiling the potential of graph neural networks for BGP anomaly detection

Krzysztof Rusek

José Suárez-Varela

Albert Mestres

Pere Barlet-Ros

Albert Cabellos-Aparicio

2019/4/3

RFC 9303 Locator/ID Separation Protocol Security (LISP-SEC)

F Maino

Vina Ermagan

A Cabellos

Damien Saucez

2022/10/1

See List of Professors in Albert Cabellos-Aparicio University(Universidad Politécnica de Cataluña)

Co-Authors

H-index: 69
Josep Torrellas

Josep Torrellas

University of Illinois at Urbana-Champaign

H-index: 49
Eduard Alarcon

Eduard Alarcon

Universidad Politécnica de Cataluña

H-index: 47
Andreas Pitsillides

Andreas Pitsillides

University of Cyprus

H-index: 33
Josep Solé-Pareta

Josep Solé-Pareta

Universidad Politécnica de Cataluña

H-index: 31
Sergi Abadal

Sergi Abadal

Universidad Politécnica de Cataluña

H-index: 29
Christos K Liaskos

Christos K Liaskos

University of Ioannina

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