Laureano Moro-Velázquez

1.5k total citations
73 papers, 911 citations indexed

About

Laureano Moro-Velázquez is a scholar working on Artificial Intelligence, Physiology and Signal Processing. According to data from OpenAlex, Laureano Moro-Velázquez has authored 73 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 36 papers in Physiology and 30 papers in Signal Processing. Recurrent topics in Laureano Moro-Velázquez's work include Speech Recognition and Synthesis (43 papers), Voice and Speech Disorders (35 papers) and Speech and Audio Processing (20 papers). Laureano Moro-Velázquez is often cited by papers focused on Speech Recognition and Synthesis (43 papers), Voice and Speech Disorders (35 papers) and Speech and Audio Processing (20 papers). Laureano Moro-Velázquez collaborates with scholars based in United States, Spain and Colombia. Laureano Moro-Velázquez's co-authors include Juan Ignacio Godino-Llorente, Jorge A. Gómez-García, Najim Dehak, Jesús Villalba, Julián D. Arias-Londoño, Jaejin Cho, Raghavendra Pappagari, Stefanie Shattuck‐Hufnagel, Piotr Żelasko and Juan Rafael Orozco‐Arroyave and has published in prestigious journals such as PLoS ONE, Scientific Reports and BioMed Research International.

In The Last Decade

Laureano Moro-Velázquez

60 papers receiving 877 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laureano Moro-Velázquez United States 18 533 507 363 137 118 73 911
Jorge A. Gómez-García Spain 13 413 0.8× 320 0.6× 239 0.7× 92 0.7× 100 0.8× 32 621
Tomás Arias‐Vergara Germany 15 358 0.7× 262 0.5× 194 0.5× 93 0.7× 69 0.6× 55 681
Florian Hönig Germany 16 389 0.7× 500 1.0× 293 0.8× 264 1.9× 79 0.7× 32 873
Anne Schützenberger Germany 18 581 1.1× 383 0.8× 104 0.3× 246 1.8× 207 1.8× 52 751
Virgilijus Uloza Lithuania 17 773 1.5× 298 0.6× 168 0.5× 255 1.9× 420 3.6× 53 896
Agustín Álvarez-Marquina Spain 11 202 0.4× 190 0.4× 175 0.5× 81 0.6× 42 0.4× 73 420
Tino Haderlein Germany 13 364 0.7× 338 0.7× 115 0.3× 233 1.7× 91 0.8× 32 582
Emily Lin United States 13 390 0.7× 143 0.3× 62 0.2× 221 1.6× 156 1.3× 46 587
Cenk Demiroğlu Türkiye 10 117 0.2× 274 0.5× 227 0.6× 53 0.4× 19 0.2× 42 491
Rubén Fraile Spain 12 269 0.5× 205 0.4× 154 0.4× 101 0.7× 49 0.4× 47 532

Countries citing papers authored by Laureano Moro-Velázquez

Since Specialization
Citations

This map shows the geographic impact of Laureano Moro-Velázquez'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 Laureano Moro-Velázquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laureano Moro-Velázquez more than expected).

Fields of papers citing papers by Laureano Moro-Velázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laureano Moro-Velázquez. 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 Laureano Moro-Velázquez. The network helps show where Laureano Moro-Velázquez may publish in the future.

Co-authorship network of co-authors of Laureano Moro-Velázquez

This figure shows the co-authorship network connecting the top 25 collaborators of Laureano Moro-Velázquez. A scholar is included among the top collaborators of Laureano Moro-Velázquez 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 Laureano Moro-Velázquez. Laureano Moro-Velázquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moro-Velázquez, Laureano, et al.. (2025). Interpretable Features for the Assessment of Neurodegenerative Diseases through Handwriting Analysis. IEEE Journal of Biomedical and Health Informatics. PP. 1–19.
2.
Moro-Velázquez, Laureano, et al.. (2024). Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results. 247–254. 9 indexed citations
3.
Eguren, David, Michael Gonzalez, Laureano Moro-Velázquez, et al.. (2024). Concurrent validity of instrumented insoles measuring gait and balance metrics in Parkinson’s disease. PubMed. 2024. 1–7. 1 indexed citations
4.
Dehak, Najim, et al.. (2024). Time Scale Network: An Efficient Shallow Neural Network for Time Series Data in Biomedical Applications. IEEE Journal of Selected Topics in Signal Processing. 19(1). 129–139. 1 indexed citations
5.
6.
Moro-Velázquez, Laureano, et al.. (2023). Handwriting characteristics analysis for Alzheimer’s Disease and Mild Cognitive Impairments Assessment. Alzheimer s & Dementia. 19(S15). 1 indexed citations
7.
Villalba, Jesús, et al.. (2023). Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning. 431–435. 4 indexed citations
8.
Dehak, Najim, et al.. (2023). Evaluation of Interpretable Speech Biomarkers for Monitoring Alzheimer’s Disease and Mild Cognitive Impairment Progression. Alzheimer s & Dementia. 19(S15). 1 indexed citations
9.
Moro-Velázquez, Laureano, et al.. (2023). Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease. Frontiers in Neurology. 14. 1142642–1142642. 17 indexed citations
10.
Oh, Esther S., et al.. (2023). Multi‐task analysis of oculographic biomarkers to evaluate motoric and cognitive patterns in Alzheimer’s Disease. Alzheimer s & Dementia. 19(S11). 1 indexed citations
11.
Moro-Velázquez, Laureano, et al.. (2022). Things to Consider When Automatically Detecting Parkinson’s Disease Using the Phonation of Sustained Vowels: Analysis of Methodological Issues. Applied Sciences. 12(3). 991–991. 18 indexed citations
12.
Pappagari, Raghavendra, Jaejin Cho, Laureano Moro-Velázquez, et al.. (2021). Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. 3825–3829. 37 indexed citations
13.
Moro-Velázquez, Laureano, Jorge A. Gómez-García, Julián D. Arias-Londoño, Najim Dehak, & Juan Ignacio Godino-Llorente. (2021). Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. Biomedical Signal Processing and Control. 66. 102418–102418. 106 indexed citations
14.
Moro-Velázquez, Laureano, Jesús Villalba, & Najim Dehak. (2020). Using X-Vectors to Automatically Detect Parkinson’s Disease from Speech. 1155–1159. 32 indexed citations
15.
Moro-Velázquez, Laureano, Estefanía Hernández‐García, Jorge A. Gómez-García, Juan Ignacio Godino-Llorente, & Najim Dehak. (2020). Analysis of the Effects of Supraglottal Tract Surgical Procedures in Automatic Speaker Recognition Performance. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 798–812. 2 indexed citations
16.
Gómez-García, Jorge A., Laureano Moro-Velázquez, & Juan Ignacio Godino-Llorente. (2019). On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art. Biomedical Signal Processing and Control. 51. 181–199. 45 indexed citations
17.
Moro-Velázquez, Laureano, et al.. (2019). Influence of early stimulation on the sensorimotor development of children aged four to six: a vision from Karate Do.. 147–155.
18.
Moro-Velázquez, Laureano, et al.. (2019). Phonetic relevance and phonemic grouping of speech in the automatic detection of Parkinson’s Disease. Scientific Reports. 9(1). 19066–19066. 36 indexed citations
19.
Moro-Velázquez, Laureano, Jorge A. Gómez-García, Najim Dehak, & Juan Ignacio Godino-Llorente. (2019). Analysis of phonatory features for the automatic detection of Parkinson's Disease in two different corpora. UPM Digital Archive (Technical University of Madrid). 3 indexed citations
20.
Gómez-García, Jorge A., Laureano Moro-Velázquez, & Juan Ignacio Godino-Llorente. (2018). On the design of automatic voice condition analysis systems. Part II: Review of speaker recognition techniques and study on the effects of different variability factors. Biomedical Signal Processing and Control. 48. 128–143. 37 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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