Daniel Ramos

85 papers and 1.3k indexed citations i.

About

Daniel Ramos is a scholar working on Signal Processing, Artificial Intelligence and Genetics. According to data from OpenAlex, Daniel Ramos has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Signal Processing, 37 papers in Artificial Intelligence and 19 papers in Genetics. Recurrent topics in Daniel Ramos’s work include Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (19 papers) and Forensic and Genetic Research (19 papers). Daniel Ramos is often cited by papers focused on Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (19 papers) and Forensic and Genetic Research (19 papers). Daniel Ramos collaborates with scholars based in Spain, The Netherlands and Portugal. Daniel Ramos's co-authors include Joaquín González-Rodríguez, Julián Fiérrez, Javier Ortega-García, Grzegorz Zadora, Didier Meuwly, Rudolf Haraksim, Doroteo T. Toledano, Zita Vale, Pedro Faria and Phil Rose and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniel Ramos i

Fields of papers citing papers by Daniel Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Ramos

Since Specialization
Citations

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