Tomás Arias‐Vergara

1.1k total citations
55 papers, 681 citations indexed

About

Tomás Arias‐Vergara is a scholar working on Physiology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tomás Arias‐Vergara has authored 55 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 23 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Tomás Arias‐Vergara's work include Voice and Speech Disorders (26 papers), Speech Recognition and Synthesis (18 papers) and Phonetics and Phonology Research (11 papers). Tomás Arias‐Vergara is often cited by papers focused on Voice and Speech Disorders (26 papers), Speech Recognition and Synthesis (18 papers) and Phonetics and Phonology Research (11 papers). Tomás Arias‐Vergara collaborates with scholars based in Germany, Colombia and United States. Tomás Arias‐Vergara's co-authors include Juan Rafael Orozco‐Arroyave, Juan Camilo Vásquez-Correa, Elmar Nöth, Bjoern M. Eskofier, Philipp Klumpp, Jochen Klucken, Martin J. Schuster, Maria Schuster, Adolfo M. García and J. F. Vargas‐Bonilla and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Tomás Arias‐Vergara

47 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomás Arias‐Vergara Germany	15	358	262	194	162	93	55	681
Laureano Moro-Velázquez United States	18	533 1.5×	507 1.9×	363 1.9×	84 0.5×	137 1.5×	73	911
Jorge A. Gómez-García Spain	13	413 1.2×	320 1.2×	239 1.2×	59 0.4×	92 1.0×	32	621
Florian Hönig Germany	16	389 1.1×	500 1.9×	293 1.5×	47 0.3×	264 2.8×	32	873
Agustín Álvarez-Marquina Spain	11	202 0.6×	190 0.7×	175 0.9×	19 0.1×	81 0.9×	73	420
Cenk Demiroğlu Türkiye	10	117 0.3×	274 1.0×	227 1.2×	57 0.4×	53 0.6×	42	491
Nemuel Daniel Pah Australia	9	180 0.5×	75 0.3×	79 0.4×	67 0.4×	25 0.3×	30	460
Geoffrey S. Meltzner United States	11	361 1.0×	230 0.9×	203 1.0×	12 0.1×	234 2.5×	17	656
Philipp Klumpp Germany	9	90 0.3×	129 0.5×	83 0.4×	22 0.1×	48 0.5×	24	280
Kang Ren China	11	162 0.5×	57 0.2×	62 0.3×	185 1.1×	10 0.1×	31	388

Countries citing papers authored by Tomás Arias‐Vergara

Since Specialization

Citations

This map shows the geographic impact of Tomás Arias‐Vergara'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 Tomás Arias‐Vergara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomás Arias‐Vergara more than expected).

Fields of papers citing papers by Tomás Arias‐Vergara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomás Arias‐Vergara. 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 Tomás Arias‐Vergara. The network helps show where Tomás Arias‐Vergara may publish in the future.

Co-authorship network of co-authors of Tomás Arias‐Vergara

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Arias‐Vergara. A scholar is included among the top collaborators of Tomás Arias‐Vergara 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 Tomás Arias‐Vergara. Tomás Arias‐Vergara 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

Arasteh, Soroosh Tayebi, Tomás Arias‐Vergara, Juan Rafael Orozco‐Arroyave, et al.. (2025). Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data. OPUS FAU - Online publication system of Friedrich-Alexander-Universität Erlangen-Nürnberg. 1(1). 1 indexed citations

Dineley, Judith, Raquel Iniesta, Yuezhou Zhang, et al.. (2025). Exploring biases related to the use of large language models in a multilingual depression corpus. Scientific Reports. 15(1). 36197–36197.

Schützenberger, Anne, Tomás Arias‐Vergara, Melda Kunduk, et al.. (2025). Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy. Frontiers in Artificial Intelligence. 8. 1601716–1601716.

Nguyên, Duy Duong, et al.. (2024). Vowel onset measures and their reliability, sensitivity and specificity: A systematic literature review. PLoS ONE. 19(5). e0301786–e0301786. 2 indexed citations

Arasteh, Soroosh Tayebi, et al.. (2024). Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech. SHILAP Revista de lepidopterología. 4(1). 182–182. 5 indexed citations

Arias‐Vergara, Tomás, et al.. (2024). VOAT: Voice Onset Analysis Tool. SoftwareX. 27. 101802–101802.

Arias‐Vergara, Tomás, et al.. (2024). Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge. 982–986. 2 indexed citations

Arias‐Vergara, Tomás, et al.. (2023). An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. 1703–1707. 7 indexed citations

Arias‐Vergara, Tomás, et al.. (2023). Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach. 4623–4627.

10.

Arias‐Vergara, Tomás, Philipp Klumpp, Maria Schuster, et al.. (2022). Interpreting acoustic features for the assessment of Alzheimer’s disease using ForestNet. Smart Health. 26. 100347–100347. 9 indexed citations

11.

Arias‐Vergara, Tomás, Philipp Klumpp, Juan Camilo Vásquez-Correa, et al.. (2022). Depression assessment in people with Parkinson’s disease: The combination of acoustic features and natural language processing. Speech Communication. 145. 10–20. 8 indexed citations

12.

Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Maria Schuster, et al.. (2021). Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognition Letters. 150. 272–279. 22 indexed citations

13.

Klumpp, Philipp, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, et al.. (2021). The phonetic footprint of Parkinson’s disease. Computer Speech & Language. 72. 101321–101321. 5 indexed citations

14.

Schuster, Maria, et al.. (2020). „Verstehen mich mit der Maske noch alle?“: Coronavirus-Pandemie. PubMed Central. 162(14). 42–44. 1 indexed citations

15.

Schuster, Maria, et al.. (2020). [Speech quality changes due to face masks].. PubMed. 162(14). 42–44. 1 indexed citations

16.

Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Philipp Klumpp, et al.. (2019). Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.. Conference of the International Speech Communication Association. 964–965. 2 indexed citations

17.

Arias‐Vergara, Tomás, Juan Camilo Vásquez-Correa, Juan Rafael Orozco‐Arroyave, & Elmar Nöth. (2018). Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions. Speech Communication. 101. 11–25. 25 indexed citations

18.

Arias‐Vergara, Tomás, Juan Camilo Vásquez-Correa, & Juan Rafael Orozco‐Arroyave. (2017). Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech. Cognitive Computation. 9(6). 731–748. 36 indexed citations

19.

Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Juan Rafael Orozco‐Arroyave, J. F. Vargas‐Bonilla, & Elmar Nöth. (2016). Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech.. 1–5. 6 indexed citations

20.

Arias‐Vergara, Tomás, Juan Camilo Vásquez-Correa, Juan Rafael Orozco‐Arroyave, et al.. (2016). Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech.. 1–5.

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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