María Lomelí

10 papers and 63 indexed citations i.

About

María Lomelí is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, María Lomelí has authored 10 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 2 papers in Signal Processing. Recurrent topics in María Lomelí’s work include Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Inference (3 papers) and Statistical Distribution Estimation and Applications (2 papers). María Lomelí is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Inference (3 papers) and Statistical Distribution Estimation and Applications (2 papers). María Lomelí collaborates with scholars based in United Kingdom, Italy and Germany. María Lomelí's co-authors include Yee Whye Teh, Stefano Favaro, Mark Harman, Zoubin Ghahramani, Arthur Gretton, Erik Meijer, Mark Rowland, Erik Meijer, Bernardo Nipoti and Sophia Drossopoulou and has published in prestigious journals such as Journal of Machine Learning Research, Journal of Computational and Graphical Statistics and Nature Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of María Lomelí i

Fields of papers citing papers by María Lomelí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Lomelí

Since Specialization
Citations

This map shows the geographic impact of María Lomelí'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 María Lomelí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Lomelí 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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2025