Juan Andrés Bazerque

2.1k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Juan Andrés Bazerque is a scholar working on Computational Mechanics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Juan Andrés Bazerque has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 12 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Juan Andrés Bazerque's work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Adaptive Filtering Techniques (7 papers) and Cognitive Radio Networks and Spectrum Sensing (5 papers). Juan Andrés Bazerque is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Advanced Adaptive Filtering Techniques (7 papers) and Cognitive Radio Networks and Spectrum Sensing (5 papers). Juan Andrés Bazerque collaborates with scholars based in United States, Uruguay and Spain. Juan Andrés Bazerque's co-authors include Georgios B. Giannakis, Gonzalo Mateos, Daniele Angelosante, Xiaodong Cai, Emiliano Dall’Anese, Brian Baingana, Alejandro Ribeiro, Jorge R. Costa, Pablo Monzón and Hao Zhu and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and PLoS Computational Biology.

In The Last Decade

Juan Andrés Bazerque

29 papers receiving 1.4k citations

Hit Papers

Distributed Spectrum Sensing for Cognitive Radio Networks... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Andrés Bazerque United States 13 689 593 344 342 303 35 1.4k
Yanning Shen United States 17 374 0.5× 147 0.2× 261 0.8× 246 0.7× 427 1.4× 74 1.2k
George N. Karystinos Greece 15 234 0.3× 357 0.6× 270 0.8× 547 1.6× 176 0.6× 66 1.1k
George Atia United States 16 189 0.3× 416 0.7× 127 0.4× 228 0.7× 349 1.2× 130 1.1k
Ruoyu Sun United States 15 236 0.3× 346 0.6× 97 0.3× 455 1.3× 213 0.7× 42 976
Sundeep Prabhakar Chepuri Netherlands 21 198 0.3× 502 0.8× 232 0.7× 684 2.0× 319 1.1× 90 1.4k
Ioannis D. Schizas United States 17 618 0.9× 1.2k 2.0× 270 0.8× 469 1.4× 758 2.5× 74 1.9k
João F. C. Mota United Kingdom 13 409 0.6× 392 0.7× 97 0.3× 214 0.6× 139 0.5× 48 857
Baltasar Beferull‐Lozano Norway 20 142 0.2× 1.0k 1.7× 189 0.5× 701 2.0× 244 0.8× 152 1.8k
Daniele Angelosante Italy 16 448 0.7× 193 0.3× 356 1.0× 194 0.6× 146 0.5× 40 865
Xiaochuan Zhao China 14 642 0.9× 646 1.1× 337 1.0× 188 0.5× 387 1.3× 52 1.3k

Countries citing papers authored by Juan Andrés Bazerque

Since Specialization
Citations

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

Fields of papers citing papers by Juan Andrés Bazerque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Andrés Bazerque. 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 Juan Andrés Bazerque. The network helps show where Juan Andrés Bazerque may publish in the future.

Co-authorship network of co-authors of Juan Andrés Bazerque

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Andrés Bazerque. A scholar is included among the top collaborators of Juan Andrés Bazerque 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 Juan Andrés Bazerque. Juan Andrés Bazerque 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
2.
Paternain, Santiago, et al.. (2024). A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning. 629–633. 1 indexed citations
3.
Gerasimenko, Mikhail, et al.. (2024). A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE Transactions on Robotics. 40. 4598–4614.
4.
Bazerque, Juan Andrés, et al.. (2023). Learning Safety Critics via a Non-Contractive Binary Bellman Operator. 814–821.
5.
Paternain, Santiago, Juan Andrés Bazerque, & Alejandro Ribeiro. (2022). Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE Transactions on Automatic Control. 67(9). 4467–4482.
6.
Bazerque, Juan Andrés, et al.. (2021). Multi-task Supervised Learning via Cross-learning. 2021 29th European Signal Processing Conference (EUSIPCO). 1381–1385. 2 indexed citations
7.
Bazerque, Juan Andrés, et al.. (2020). Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. arXiv (Cornell University). 5 indexed citations
9.
Bazerque, Juan Andrés, et al.. (2019). Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. 4840–4846. 3 indexed citations
10.
Bazerque, Juan Andrés & Pablo Monzón. (2017). Control of networked systems in the graph-frequency domain. 1. 1444–1448. 1 indexed citations
11.
Bazerque, Juan Andrés, et al.. (2015). Synchronization of phasor measurement units and its error propagation to state estimators. 508–513. 3 indexed citations
12.
Bazerque, Juan Andrés, Brian Baingana, & Georgios B. Giannakis. (2013). Identifiability of sparse structural equation models for directed and cyclic networks. 839–842. 18 indexed citations
13.
Bazerque, Juan Andrés, Gonzalo Mateos, & Georgios B. Giannakis. (2013). Inference of Poisson count processes using low-rank tensor data. 5989–5993. 6 indexed citations
14.
Bazerque, Juan Andrés & Georgios B. Giannakis. (2013). Nonparametric Basis Pursuit via Sparse Kernel-Based Learning: A Unifying View with Advances in Blind Methods. IEEE Signal Processing Magazine. 30(4). 112–125. 41 indexed citations
15.
Bazerque, Juan Andrés, Gonzalo Mateos, & Georgios B. Giannakis. (2013). Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Transactions on Signal Processing. 61(22). 5689–5703. 55 indexed citations
16.
Cai, Xiaodong, Juan Andrés Bazerque, & Georgios B. Giannakis. (2013). Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations. PLoS Computational Biology. 9(5). e1003068–e1003068. 107 indexed citations
17.
Bazerque, Juan Andrés, Gonzalo Mateos, & Georgios B. Giannakis. (2011). Group-Lasso on Splines for Spectrum Cartography. IEEE Transactions on Signal Processing. 59(10). 4648–4663. 112 indexed citations
18.
Dall’Anese, Emiliano, Juan Andrés Bazerque, & Georgios B. Giannakis. (2011). Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers. Physical Communication. 5(2). 161–172. 19 indexed citations
19.
Mateos, Gonzalo, Juan Andrés Bazerque, & Georgios B. Giannakis. (2010). Distributed Sparse Linear Regression. IEEE Transactions on Signal Processing. 58(10). 5262–5276. 360 indexed citations
20.
Bazerque, Juan Andrés & Georgios B. Giannakis. (2007). Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. 343–350. 26 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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