Pedro Larrañaga

220 papers and 10.2k indexed citations i.

About

Pedro Larrañaga is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Pedro Larrañaga has authored 220 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Artificial Intelligence, 45 papers in Molecular Biology and 25 papers in Signal Processing. Recurrent topics in Pedro Larrañaga’s work include Bayesian Modeling and Causal Inference (82 papers), Machine Learning and Data Classification (28 papers) and Bayesian Methods and Mixture Models (24 papers). Pedro Larrañaga is often cited by papers focused on Bayesian Modeling and Causal Inference (82 papers), Machine Learning and Data Classification (28 papers) and Bayesian Methods and Mixture Models (24 papers). Pedro Larrañaga collaborates with scholars based in Spain, United States and United Kingdom. Pedro Larrañaga's co-authors include Iñaki Inza, Yvan Saeys, Concha Bielza, José A. Lozano, José M. Peña, Endika Bengoetxea, Roberto Santana, Basilio Sierra, C.M.H. Kuijpers and Rosa Blanco and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Pedro Larrañaga i

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Fields of papers citing papers by Pedro Larrañaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pedro Larrañaga

Since Specialization

Citations

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