Tomás Arias‐Vergara
- Physiology top 10%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Neurology top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Juan Rafael Orozco‐ArroyaveJuan Camilo Vásquez-CorreaElmar NöthBjoern M. EskofierJochen KluckenPhilipp KlumppMartin J. SchusterMaria Schuster
- Topics
- Voice and Speech Disorders (26 papers)Speech Recognition and Synthesis (18 papers)Phonetics and Phonology Research (11 papers)
- Cited by
- Signal ProcessingPhysiologyNeurology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- GermanyColombiaUnited States
In The Last Decade
Tomás Arias‐Vergara
47 papers receiving 655 citations
Peers
Comparison fields: 5 of 85
- Physiology 358
- Artificial Intelligence 262
- Signal Processing 194
- Neurology 162
- Experimental and Cognitive Psychology 93
Countries citing papers authored by Tomás Arias‐Vergara
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 5 | |
| 15 | „Verstehen mich mit der Maske noch alle?“: Coronavirus-Pandemie | 1 |
| 16 | 2 | |
| 17 | Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. | 2 |
| 18 | 25 | |
| 19 | Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech. | 0 |
| 20 | Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech. | 6 |
About Tomás Arias‐Vergara
Tomás Arias‐Vergara is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Physiology, having authored 55 papers that have together received 681 indexed citations. Recurring topics across this work include Voice and Speech Disorders (26 papers), Speech Recognition and Synthesis (18 papers) and Phonetics and Phonology Research (11 papers). The work is most often cited by research in Signal Processing (194 citations), Physiology (358 citations) and Neurology (162 citations). Tomás Arias‐Vergara has collaborated with scholars based in Germany, Colombia and United States. Frequent co-authors include Juan Rafael Orozco‐Arroyave, Juan Camilo Vásquez-Correa, Elmar Nöth, Bjoern M. Eskofier, Jochen Klucken, Philipp Klumpp, Martin J. Schuster, Maria Schuster, Adolfo M. García and J. F. Vargas‐Bonilla. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.