Néstor Becerra Yoma

68 papers and 449 indexed citations i.

About

Néstor Becerra Yoma is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Néstor Becerra Yoma has authored 68 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Signal Processing, 41 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Néstor Becerra Yoma’s work include Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (33 papers) and Music and Audio Processing (15 papers). Néstor Becerra Yoma is often cited by papers focused on Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (33 papers) and Music and Audio Processing (15 papers). Néstor Becerra Yoma collaborates with scholars based in Chile, United States and United Kingdom. Néstor Becerra Yoma's co-authors include Carlos Busso, Muhammad Salman Khan, Carlos Molina, Fergus McInnes, M.A. Jack, María José Villar, José Nóvoa, Millaray Curilem, Ismael Soto and Richard M. Stern and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, International Journal of Heat and Mass Transfer and Sensors.

In The Last Decade

Co-authorship network of co-authors of Néstor Becerra Yoma i

Fields of papers citing papers by Néstor Becerra Yoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Néstor Becerra Yoma. 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 Néstor Becerra Yoma. The network helps show where Néstor Becerra Yoma may publish in the future.

Countries citing papers authored by Néstor Becerra Yoma

Since Specialization
Citations

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