Marcelo Pereyra

48 papers and 933 indexed citations i.

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 48 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 20 papers in Computational Mechanics and 17 papers in Artificial Intelligence. Recurrent topics in Marcelo Pereyra’s work include Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (17 papers) and Medical Imaging Techniques and Applications (11 papers). Marcelo Pereyra is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Statistical Methods and Inference (17 papers) and Medical Imaging Techniques and Applications (11 papers). Marcelo Pereyra collaborates with scholars based in United Kingdom, France and Canada. Marcelo Pereyra's co-authors include Alain Durmus, Hadj Batatia, Stephen McLaughlin, Jean–Yves Tourneret, Jason D. McEwen, Xiaohao Cai, Éric Moulines, Krzysztof Łatuszyński, Peter J. Green 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

Co-authorship network of co-authors of Marcelo Pereyra i

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.

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).

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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