Marcelo Pereyra

1.8k total citations
53 papers, 930 citations indexed

About

Marcelo Pereyra is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Marcelo Pereyra has authored 53 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 20 papers in Computational Mechanics and 19 papers in Artificial Intelligence. Recurrent topics in Marcelo Pereyra's work include Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (16 papers) and Gaussian Processes and Bayesian Inference (11 papers). Marcelo Pereyra is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (16 papers) and Gaussian Processes and Bayesian Inference (11 papers). Marcelo Pereyra collaborates with scholars based in United Kingdom, France and Malaysia. Marcelo Pereyra's co-authors include Alain Durmus, Hadj Batatia, Jean‐Yves Tourneret, Éric Moulines, Jason D. McEwen, Xiaohao Cai, Nicolas Dobigeon, Stephen McLaughlin, Krzysztof Łatuszyński and Christian P. Robert and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Marcelo Pereyra

47 papers receiving 901 citations

Peers

Countries citing papers authored by Marcelo Pereyra

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo Pereyra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Pereyra. 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 Marcelo Pereyra. The network helps show where Marcelo Pereyra may publish in the future.

Co-authorship network of co-authors of Marcelo Pereyra

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Pereyra. A scholar is included among the top collaborators of Marcelo Pereyra 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 Marcelo Pereyra. Marcelo Pereyra 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	Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging 2024 ·T.I Liaudat, (unknown), Matt A. Price, Marcelo Pereyra, Marta M. Betcke, Jason D. McEwen	4
2	A Bayesian approach for CT reconstruction with defect detection for subsea pipelines 2023 ·Inverse Problems ·(unknown), Nicolai A. B. Riis, Marcelo Pereyra, Jakob Sauer Jørgensen	0
3	Efficient Bayesian Computation for Low-Photon Imaging Problems 2023 ·SIAM Journal on Imaging Sciences ·(unknown), Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis	5
4	Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie 2022 ·SIAM Journal on Imaging Sciences ·(unknown), Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra	54
5	A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau 2022 ·SIAM Review ·Alain Durmus, Éric Moulines, Marcelo Pereyra	9
6	Proximal nested sampling for high-dimensional Bayesian model selection 2022 ·Statistics and Computing ·Xiaohao Cai, Jason D. McEwen, Marcelo Pereyra	13
7	Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis 2020 ·SIAM Journal on Imaging Sciences ·Valentin De Bortoli, Alain Durmus, Marcelo Pereyra, (unknown)	14
8	Sparse Bayesian mass mapping with uncertainties: local credible intervals 2019 ·Monthly Notices of the Royal Astronomical Society ·Matt A. Price, Xiaohao Cai, Jason D. McEwen, Marcelo Pereyra, T. Kitching	10
9	Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau. 2018 ·SPIRE - Sciences Po Institutional REpository ·Alain Durmus, Éric Moulines, Marcelo Pereyra	2
10	Stroke onset time determination using MRI relaxation times without non-ischaemic reference in a rat stroke model 2017 ·PubMed ·(unknown), Marcelo Pereyra, Michael J. Knight, (unknown), Kimmo Jokivarsi, Olli Gröhn, Risto A. Kauppinen	6
11	Revisiting maximum-a-posteriori estimation in log-concave models: from differential geometry to decision theory 2016 ·arXiv (Cornell University) ·Marcelo Pereyra	0
12	Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing 2015 ·arXiv (Cornell University) ·Marcelo Pereyra, Philip Schniter, Émilie Chouzenoux, Jean‐Christophe Pesquet, Jean‐Yves Tourneret, Alfred O. Hero, Stephen McLaughlin	5
13	Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis 2015 ·IEEE Transactions on Computational Imaging ·Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin	21
14	Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing 2015 ·IEEE Transactions on Image Processing ·Yoann Altmann, Marcelo Pereyra, José M. Bioucas‐Dias	29
15	Proximal Markov chain Monte Carlo algorithms 2015 ·Statistics and Computing ·Marcelo Pereyra	75
16	Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm 2013 ·IEEE Transactions on Image Processing ·Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean‐Yves Tourneret	49
17	Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model 2012 ·IEEE Transactions on Medical Imaging ·Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean‐Yves Tourneret	50
18	Modeling ultrasound echoes in skin tissues using symmetric α-stable processes 2012 ·IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control ·Marcelo Pereyra, (unknown)	19
19	Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model 2011 ·European Signal Processing Conference ·Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean‐Yves Tourneret	2
20	La irrupción del delito en la vida cotidiana : relatos de la comunicación política 2009 ·(unknown), Marcelo Pereyra, (unknown)	0

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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