Gilda Soromenho

4 papers and 1.6k indexed citations i.

About

Gilda Soromenho is a scholar working on Artificial Intelligence, Statistics and Probability and Pharmacology. According to data from OpenAlex, Gilda Soromenho has authored 4 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Pharmacology. Recurrent topics in Gilda Soromenho’s work include Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Gilda Soromenho is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Gilda Soromenho collaborates with scholars based in Portugal and France. Gilda Soromenho's co-authors include Gilles Celeux, Susana Faria, Luís Uva, Paulo Filipe and Miguel Alpalhão and has published in prestigious journals such as Journal of Statistical Computation and Simulation, Journal of Classification and Communications in Statistics - Simulation and Computation.

In The Last Decade

Co-authorship network of co-authors of Gilda Soromenho i

Fields of papers citing papers by Gilda Soromenho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gilda Soromenho

Since Specialization
Citations

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