Antonio G. Marqués

4.0k total citations
150 papers, 2.5k citations indexed

About

Antonio G. Marqués is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Antonio G. Marqués has authored 150 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 60 papers in Computer Networks and Communications and 54 papers in Electrical and Electronic Engineering. Recurrent topics in Antonio G. Marqués's work include Advanced Graph Neural Networks (58 papers), Complex Network Analysis Techniques (39 papers) and Advanced MIMO Systems Optimization (37 papers). Antonio G. Marqués is often cited by papers focused on Advanced Graph Neural Networks (58 papers), Complex Network Analysis Techniques (39 papers) and Advanced MIMO Systems Optimization (37 papers). Antonio G. Marqués collaborates with scholars based in Spain, United States and Netherlands. Antonio G. Marqués's co-authors include Alejandro Ribeiro, Santiago Segarra, Georgios B. Giannakis, Geert Leus, Xin Wang, Gonzalo Mateos, Fernando Gama, Javier Ramos, Jesús Cid‐Sueiro and Nikolaos Gatsis and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Antonio G. Marqués

137 papers receiving 2.4k citations

Peers

Countries citing papers authored by Antonio G. Marqués

Since Specialization

Citations

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

Fields of papers citing papers by Antonio G. Marqués

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio G. Marqués

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio G. Marqués. A scholar is included among the top collaborators of Antonio G. Marqués 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 G. Marqués. Antonio G. Marqués is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Early detection of Multidrug Resistance using Multivariate Time Series analysis and interpretable patient-similarity representations 2025 ·Computer Methods and Programs in Biomedicine ·(unknown), Antonio G. Marqués, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz	0
2	Explainable Temporal Inference for Irregular Multivariate Time Series. A Case Study for Early Prediction of Multidrug Resistance 2025 ·IEEE Transactions on Biomedical Engineering ·(unknown), Cristina Soguero-Ruíz, Joaquín Álvarez-Rodríguez, Antonio G. Marqués	0
3	Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals 2025 ·IEEE Transactions on Signal Processing ·(unknown), Jiaxi Ying, Antonio G. Marqués, Daniel P. Palomar	3
4	Low-Rank Tensors for Multi-Dimensional Markov Models 2025 ·(unknown), (unknown), Antonio G. Marqués, Santiago Segarra	1
5	Online Network Inference from Graph-Stationary Signals with Hidden Nodes 2025 ·(unknown), (unknown), (unknown), Santiago Segarra, Antonio G. Marqués	0
6	Redesigning graph filter-based GNNs to relax the homophily assumption 2025 ·(unknown), (unknown), (unknown), Santiago Segarra, Antonio G. Marqués	1
7	Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series 2025 ·Health Information Science and Systems ·(unknown), (unknown), (unknown), Antonio G. Marqués, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz	1
8	Pontryagin’s Minimum Principle-Guided RL for Minimum-Time Exploration of Spatiotemporal Fields 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Jian Sun, Antonio G. Marqués, Gang Wang, Keyou You	1
9	Joint Network Topology Inference in the Presence of Hidden Nodes 2024 ·IEEE Transactions on Signal Processing ·(unknown), (unknown), (unknown), Antonio G. Marqués, Santiago Segarra	6
10	Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach 2024 ·(unknown), Elvin Isufi, Geert Leus, Antonio G. Marqués	0
11	Graph Signal Processing: History, development, impact, and outlook 2023 ·IEEE Signal Processing Magazine ·Geert Leus, Antonio G. Marqués, José M. F. Moura, Antonio Ortega, David I Shuman	63
12	Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables 2022 ·IEEE Transactions on Signal and Information Processing over Networks ·(unknown), (unknown), Antonio G. Marqués	16
13	Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance 2022 ·Future Generation Computer Systems ·(unknown), Cristina Soguero-Ruíz, José M. Alonso, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Antonio G. Marqués	28
14	Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital 2021 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Antonio G. Marqués, Inmaculada Mora-Jiménez, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruíz	3
15	[Dates Ahead] 2019 ·IEEE Signal Processing Magazine ·Saeid Sanei, Lajos Hanzo, Georgios B. Giannakis, Geert Leus, Antonio G. Marqués, (unknown)	1
16	Convolutional Neural Networks via Node-Verying Graph Filters 2018 ·Research Repository (Delft University of Technology) ·Fernando Gama, Geert Leus, Antonio G. Marqués, Alejandro Ribeiro	12
17	Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme 2018 ·Energies ·(unknown), Sergio Muñoz-Romero, Diego Arcos-Avilés, (unknown), (unknown), Antonio G. Marqués, José Luis Rojo‐Álvarez	2
18	Convolutional Neural Network Architectures for Signals Supported on Graphs 2018 ·IEEE Transactions on Signal Processing ·Fernando Gama, Antonio G. Marqués, Geert Leus, Alejandro Ribeiro	183
19	Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation 2013 ·(unknown), Antonio G. Marqués, Jesús Cid‐Sueiro	2
20	Flexible Dynamic Scheduling: A Major Improvement for Public Transport 1996 ·Antonio G. Marqués, (unknown), (unknown), K Darby-Dowman, (unknown), James Little	3

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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