Carlos Vaquero

13 papers and 274 indexed citations i.

About

Carlos Vaquero is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Carlos Vaquero has authored 13 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Carlos Vaquero’s work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). Carlos Vaquero is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). Carlos Vaquero collaborates with scholars based in Spain, United States and Canada. Carlos Vaquero's co-authors include Eduardo Lleida, Niko Brümmer, Óscar Saz, Alan McCree, Daniel Garcia-Romero, Stephen Shum, Richard C. Rose, Alfonso Ortega, Bin Ma and Guangsen Wang and has published in prestigious journals such as Speech Communication, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Carlos Vaquero i

Fields of papers citing papers by Carlos Vaquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos Vaquero

Since Specialization
Citations

This map shows the geographic impact of Carlos Vaquero'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 Carlos Vaquero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Vaquero 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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2025