Marı́a Teresa Gallegos

13 papers and 300 indexed citations i.

About

Marı́a Teresa Gallegos is a scholar working on Artificial Intelligence, Statistics and Probability and Epidemiology. According to data from OpenAlex, Marı́a Teresa Gallegos has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 2 papers in Epidemiology. Recurrent topics in Marı́a Teresa Gallegos’s work include Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Clustering Algorithms Research (3 papers). Marı́a Teresa Gallegos is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Clustering Algorithms Research (3 papers). Marı́a Teresa Gallegos collaborates with scholars based in Germany. Marı́a Teresa Gallegos's co-authors include G. Ritter, Dirk‐André Clevert, R Kubale, F. Jung, N Rupp, Karl-Peter Jungius, M. Lenhart, Ernst Michael Jung, Christoph R. Becker and T. Johnson and has published in prestigious journals such as The Annals of Statistics, Pattern Recognition and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Marı́a Teresa Gallegos i

Fields of papers citing papers by Marı́a Teresa Gallegos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a Teresa Gallegos. 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 Marı́a Teresa Gallegos. The network helps show where Marı́a Teresa Gallegos may publish in the future.

Countries citing papers authored by Marı́a Teresa Gallegos

Since Specialization
Citations

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