Alejandro Luebs

5 papers and 307 indexed citations i.

About

Alejandro Luebs is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alejandro Luebs has authored 5 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Signal Processing, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alejandro Luebs’s work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Music and Audio Processing (4 papers). Alejandro Luebs is often cited by papers focused on Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Music and Audio Processing (4 papers). Alejandro Luebs collaborates with scholars based in United States, United Kingdom and New Zealand. Alejandro Luebs's co-authors include Jan Skoglund, Neil Zeghidour, Marco Tagliasacchi, Felicia S. C. Lim, Thomas C. Walters, W. Bastiaan Kleijn, Florian Stimberg, Quan Wang, Aäron van den Oord and Cristina Gârbacea and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and 2014 48th Asilomar Conference on Signals, Systems and Computers.

In The Last Decade

Co-authorship network of co-authors of Alejandro Luebs i

Fields of papers citing papers by Alejandro Luebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alejandro Luebs

Since Specialization
Citations

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