David Luengo

69 papers and 1.2k indexed citations i.

About

David Luengo is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability. According to data from OpenAlex, David Luengo has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 22 papers in Signal Processing and 18 papers in Statistics and Probability. Recurrent topics in David Luengo’s work include Blind Source Separation Techniques (18 papers), Bayesian Methods and Mixture Models (14 papers) and Markov Chains and Monte Carlo Methods (11 papers). David Luengo is often cited by papers focused on Blind Source Separation Techniques (18 papers), Bayesian Methods and Mixture Models (14 papers) and Markov Chains and Monte Carlo Methods (11 papers). David Luengo collaborates with scholars based in Spain, Finland and Israel. David Luengo's co-authors include Luca Martino, Vı́ctor Elvira, Jesse Read, Mónica F. Bugallo, Mauricio A. Álvarez, Neil D. Lawrence, Jukka Corander, Antonio Artés-Rodrı́guez, Joaquı́n Mı́guez and Petar M. Djurić and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of David Luengo i

Fields of papers citing papers by David Luengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Luengo

Since Specialization
Citations

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