Carmen Peláez-Moreno

45 papers and 421 indexed citations i.

About

Carmen Peláez-Moreno is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Carmen Peláez-Moreno has authored 45 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 22 papers in Signal Processing and 13 papers in Computational Theory and Mathematics. Recurrent topics in Carmen Peláez-Moreno’s work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (13 papers) and Rough Sets and Fuzzy Logic (12 papers). Carmen Peláez-Moreno is often cited by papers focused on Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (13 papers) and Rough Sets and Fuzzy Logic (12 papers). Carmen Peláez-Moreno collaborates with scholars based in Spain, United States and Germany. Carmen Peláez-Moreno's co-authors include Francisco J. Valverde-Albacete, Ascensión Gallardo-Antolín, Fernando Díaz-de-María, Manel Martínez‐Ramón, Anselmo Peñas, Nelson Morgan, C. López-Ongil, Qifeng Zhu, Jose M. Lanza-Gutiérrez and Fernando Pérez‐Cruz and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Carmen Peláez-Moreno i

Fields of papers citing papers by Carmen Peláez-Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen Peláez-Moreno. 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 Carmen Peláez-Moreno. The network helps show where Carmen Peláez-Moreno may publish in the future.

Countries citing papers authored by Carmen Peláez-Moreno

Since Specialization
Citations

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