Carlos G. Puntonet

84 papers and 1.6k indexed citations i.

About

Carlos G. Puntonet is a scholar working on Signal Processing, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Carlos G. Puntonet has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Signal Processing, 31 papers in Artificial Intelligence and 28 papers in Analytical Chemistry. Recurrent topics in Carlos G. Puntonet’s work include Blind Source Separation Techniques (44 papers), Spectroscopy and Chemometric Analyses (28 papers) and Neural Networks and Applications (20 papers). Carlos G. Puntonet is often cited by papers focused on Blind Source Separation Techniques (44 papers), Spectroscopy and Chemometric Analyses (28 papers) and Neural Networks and Applications (20 papers). Carlos G. Puntonet collaborates with scholars based in Spain, Germany and Portugal. Carlos G. Puntonet's co-authors include J. M. Górriz, Javier Ramı́rez, Elmar W. Lang, D. Salas‐Gonzalez, I. Álvarez, F. Segovia, M. López, Ana Maria Tomé, A. Prieto and R. Chaves and has published in prestigious journals such as PLoS ONE, Chemosphere and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Carlos G. Puntonet i

Fields of papers citing papers by Carlos G. Puntonet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos G. Puntonet

Since Specialization
Citations

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