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
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
1.
Damoulas, Theodoros, et al.. (2020). Multi-task causal learning with Gaussian processes. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 33. 6293–6304.1 indexed citations
2.
Artés-Rodrı́guez, Antonio, et al.. (2018). Heterogeneous multi-output Gaussian process prediction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 31. 6711–6720.8 indexed citations
3.
Álvarez, Mauricio A., et al.. (2018). Differentially private regression with Gaussian processes. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 84. 1195–1203.8 indexed citations
4.
Dai, Zhenwen, Mauricio A. Álvarez, & Neil D. Lawrence. (2017). Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. neural information processing systems. 30. 5131–5139.5 indexed citations
5.
Álvarez, Mauricio A., et al.. (2016). Estimación de la propagación eléctrica cerebral generada por la DBS en pacientes con enfermedad de Parkinson de la región sur-occidente de Colombia. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 34(1). 116–138.1 indexed citations
Álvarez, Mauricio A., David Luengo, Michalis K. Titsias, & Neil D. Lawrence. (2010). Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. International Conference on Artificial Intelligence and Statistics. 25–32.47 indexed citations
11.
Álvarez, Mauricio A., Alex Ramírez, Mateo Valero, et al.. (2009). Performance evaluation of macroblock-level parallelization of H.264 decoding on a cc-NUMA multiprocessor architecture. Repositorio Institucional UN - Biblioteca Digital. 6(1). 219–228.7 indexed citations
12.
Álvarez, Mauricio A., David Luengo, & Neil D. Lawrence. (2009). Latent Force Models. International Conference on Artificial Intelligence and Statistics. 9–16.52 indexed citations
13.
Álvarez, Mauricio A. & Neil D. Lawrence. (2008). Sparse Convolved Gaussian Processes for Multi-output Regression. Neural Information Processing Systems. 21. 57–64.94 indexed citations
Álvarez, Mauricio A., et al.. (2004). Manual de métodos para el desarrollo de inventarios de biodiversidad. SIE (Muisca Goddess of Water) (University of Cundinamarca).70 indexed citations
20.
Pérez-Meana, Héctor, et al.. (1995). A Variable Step Size (VSS-CC) NLMS Algorithm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 78(8). 1004–1009.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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