Daniel Palacios‐Alonso

33 papers and 204 indexed citations i.

About

Daniel Palacios‐Alonso is a scholar working on Physiology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Daniel Palacios‐Alonso has authored 33 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Daniel Palacios‐Alonso’s work include Voice and Speech Disorders (14 papers), Speech Recognition and Synthesis (5 papers) and Biometric Identification and Security (5 papers). Daniel Palacios‐Alonso is often cited by papers focused on Voice and Speech Disorders (14 papers), Speech Recognition and Synthesis (5 papers) and Biometric Identification and Security (5 papers). Daniel Palacios‐Alonso collaborates with scholars based in Spain, Czechia and United Kingdom. Daniel Palacios‐Alonso's co-authors include Pedro Gómez‐Vilda, V. Rodellar, Cristina Conde, Enrique Cabello, Agustín Álvarez-Marquina, Jiří Mekyska, José Manuel Ferrández Vicente, A. Gómez, Irena Rektorová and Milena Košťálová and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Daniel Palacios‐Alonso i

Fields of papers citing papers by Daniel Palacios‐Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Palacios‐Alonso

Since Specialization
Citations

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