Daniel Palacios‐Alonso

964 total citations
47 papers, 280 citations indexed

About

Daniel Palacios‐Alonso is a scholar working on Physiology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Daniel Palacios‐Alonso has authored 47 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 15 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Daniel Palacios‐Alonso's work include Voice and Speech Disorders (18 papers), Speech Recognition and Synthesis (10 papers) and Phonetics and Phonology Research (8 papers). Daniel Palacios‐Alonso is often cited by papers focused on Voice and Speech Disorders (18 papers), Speech Recognition and Synthesis (10 papers) and Phonetics and Phonology Research (8 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, A. Gómez, José Manuel Ferrández, Irena Rektorová and J. Ángel Velázquez‐Iturbide and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and IEEE Access.

In The Last Decade

Daniel Palacios‐Alonso

39 papers receiving 274 citations

Peers

Daniel Palacios‐Alonso

PHYSI

CVPR

NEURO

Ming Tu United States

Eliane Pozzebon Brazil

Georg Stemmer Germany

Slim Ouni France

David Suendermann‐Oeft United States

Óscar Saz Spain

Julien Pinquier France

Tokihiko Kaburagi Japan

P. Vijayalakshmi India

Kalaivani Sundararajan United States

Ming Tu United States

Daniel Palacios‐Alonso

66 ×0.6

PHYSI

145 ×1.8

238 ×3.8

44 ×0.8

CVPR

7 ×0.2

NEURO

Citations per year, relative to Daniel Palacios‐Alonso Daniel Palacios‐Alonso (= 1×) peers Ming Tu

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Palacios‐Alonso. A scholar is included among the top collaborators of Daniel Palacios‐Alonso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Palacios‐Alonso. Daniel Palacios‐Alonso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gómez‐Vilda, Pedro, et al.. (2025). Assessing Laryngeal Neuromotor Activity from Phonation. International Journal of Neural Systems. 35(6). 2550029–2550029. 1 indexed citations

Conde, Cristina, et al.. (2025). Partially homomorphic framework for secure privacy-preserving ID creation. Integrated Computer-Aided Engineering. 32(4). 379–396. 1 indexed citations

Garayzábal, Elena, et al.. (2024). Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods. Frontiers in Computational Neuroscience. 18. 1357607–1357607.

Urquiza‐Fuentes, Jaime, Andrés Garcés, Daniel Palacios‐Alonso, et al.. (2024). ACTIVE LEARNING METHODOLOGIES, STUDENT MOTIVATION, AND DROPOUT: A PILOT STUDY IN SCIENCE AND ENGINEERING DEGREES. EDULEARN proceedings. 1. 6442–6449.

Palacios‐Alonso, Daniel, et al.. (2024). Facial mask-wearing prediction and adaptive gender classification using convolutional neural networks. SHILAP Revista de lepidopterología. 11(2). e3–e3.

Palacios‐Alonso, Daniel, et al.. (2024). Deep Neural Tower: A Game to Teach AI Concepts. 1–4.

Conde, Cristina, et al.. (2023). Real-world human gender classification from oral region using convolutional neural netwrok. SHILAP Revista de lepidopterología. 11(3). 249–261. 2 indexed citations

Palacios‐Alonso, Daniel, et al.. (2023). Vehicular Conflict Assessment on a Road with Lane Reduction Using the SSAM Methodology. 2 indexed citations

Palacios‐Alonso, Daniel, et al.. (2023). Creating Realistic Presentation Attacks for Facial Impersonation Step-by-Step. IEEE Access. 11. 109257–109266. 2 indexed citations

10.

Gómez‐Vilda, Pedro, et al.. (2022). The Role of Data Analytics in the Assessment of Pathological Speech—A Critical Appraisal. Applied Sciences. 12(21). 11095–11095. 10 indexed citations

11.

Hijón‐Neira, Raquel, Cornelia Connolly, Daniel Palacios‐Alonso, & Oriol Borrás-Gené. (2021). A Guided Scratch Visual Execution Environment to Introduce Programming Concepts to CS1 Students. Information. 12(9). 378–378. 4 indexed citations

12.

Gómez, A., Pedro Gómez‐Vilda, Daniel Palacios‐Alonso, et al.. (2021). A Neuromotor to Acoustical Jaw-Tongue Projection Model With Application in Parkinson’s Disease Hypokinetic Dysarthria. Frontiers in Human Neuroscience. 15. 622825–622825. 2 indexed citations

13.

Garayzábal, Elena, et al.. (2020). Specificities of phonation biomechanics in Down Syndrome children. Biomedical Signal Processing and Control. 63. 102219–102219. 5 indexed citations

14.

Palacios‐Alonso, Daniel, et al.. (2020). MonParLoc: A Speech-Based System for Parkinson’s Disease Analysis and Monitoring. IEEE Access. 8. 188243–188255. 12 indexed citations

15.

Mekyska, Jiří, et al.. (2019). Characterization of Parkinson’s disease dysarthria in terms of speech articulation kinematics. Biomedical Signal Processing and Control. 52. 312–320. 20 indexed citations

16.

Palacios‐Alonso, Daniel, et al.. (2019). An ICA-based method for stress classification from voice samples. Neural Computing and Applications. 32(24). 17887–17897. 8 indexed citations

17.

Gómez‐Vilda, Pedro, et al.. (2018). Monitoring ALS from speech articulation kinematics. Neural Computing and Applications. 32(20). 15801–15812. 3 indexed citations

18.

Gómez‐Vilda, Pedro, José Manuel Ferrández, Jiří Mekyska, et al.. (2018). Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. International Journal of Neural Systems. 29(2). 1850039–1850039. 15 indexed citations

19.

Gómez‐Vilda, Pedro, Jiří Mekyska, A. Gómez, et al.. (2017). Monitoring Parkinson Disease from speech articulation kinematics. 4(1). e036–e036. 4 indexed citations

20.

Gómez‐Vilda, Pedro, Jiří Mekyska, José Manuel Ferrández, et al.. (2017). Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers in Neuroinformatics. 11. 56–56. 44 indexed citations

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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