Mauricio A. Álvarez

2.5k citations
80 papers · 1.3k indexed · h-index 15
Topics
Gaussian Processes and Bayesian Inference (15 papers)EEG and Brain-Computer Interfaces (11 papers)Neurological disorders and treatments (11 papers)

In The Last Decade

Mauricio A. Álvarez

74 papers receiving 1.2k citations

Peers

Mauricio A. Álvarez
Comparison fields: 5 of 123
  • Artificial Intelligence 471
  • Electrical and Electronic Engineering 215
  • Control and Systems Engineering 178
  • Cognitive Neuroscience 155
  • Computer Vision and Pattern Recognition 136
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Citations per field
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Citations per year

Countries citing papers authored by Mauricio A. Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio A. Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauricio A. Álvarez. 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 Mauricio A. Álvarez. The network helps show where Mauricio A. Álvarez may publish in the future.

Co-authorship network of co-authors of Mauricio A. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio A. Álvarez. A scholar is included among the top collaborators of Mauricio A. Álvarez 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 Mauricio A. Álvarez. Mauricio A. Álvarez 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
#WorkIndexed citations
1 6
2
Multi-task causal learning with Gaussian processes
1
3
Differentially private regression with Gaussian processes
8
4
Heterogeneous multi-output Gaussian process prediction
8
5
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
5
6
Estimación de la propagación eléctrica cerebral generada por la DBS en pacientes con enfermedad de Parkinson de la región sur-occidente de Colombia
1
7 1
8 0
9 145
10
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
47
11
Performance evaluation of macroblock-level parallelization of H.264 decoding on a cc-NUMA multiprocessor architecture
7
12
Latent Force Models
52
13
Sparse Convolved Gaussian Processes for Multi-output Regression
94
14 1
15 1
16 1
17 0
18 6
19
Manual de métodos para el desarrollo de inventarios de biodiversidad
70
20
A Variable Step Size (VSS-CC) NLMS Algorithm
4

About Mauricio A. Álvarez

Mauricio A. Álvarez is a scholar working on Computational Mathematics, Signal Processing and Neurology, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Neurological disorders and treatments (11 papers). The work is most often cited by research in Artificial Intelligence (471 citations), Computational Mathematics (7 citations) and Experimental and Cognitive Psychology (130 citations). Mauricio A. Álvarez has collaborated with scholars based in Colombia, United Kingdom and Spain. Frequent co-authors include Neil D. Lawrence, Álvaro A. Orozco, Lorenzo Rosasco, David Luengo, Eduardo Giraldo, Michalis K. Titsias, Mateo Valero, Mónica Ospina, Fernando Gast and Sergio Córdoba‐Córdoba. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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