Ascensión Gallardo-Antolín
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Co-authors
- Juan Manuel MonteroFernando Díaz-de-MaríaCarmen Peláez-MorenoRoberto Barra-ChicoteJaime Lorenzo-TruebaJunichi YamagishiFrancisco J. Valverde-AlbaceteAlexander Zlotnik
- Topics
- Speech and Audio Processing (30 papers)Speech Recognition and Synthesis (28 papers)Music and Audio Processing (19 papers)
In The Last Decade
Ascensión Gallardo-Antolín
52 papers receiving 676 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 394
- Signal Processing 290
- Computer Vision and Pattern Recognition 119
- Experimental and Cognitive Psychology 100
- Social Psychology 58
Countries citing papers authored by Ascensión Gallardo-Antolín
This map shows the geographic impact of Ascensión Gallardo-Antolín'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 Ascensión Gallardo-Antolín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ascensión Gallardo-Antolín more than expected).
Fields of papers citing papers by Ascensión Gallardo-Antolín
This network shows the impact of papers produced by Ascensión Gallardo-Antolín. 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 Ascensión Gallardo-Antolín. The network helps show where Ascensión Gallardo-Antolín may publish in the future.
Co-authorship network of co-authors of Ascensión Gallardo-Antolín
This figure shows the co-authorship network connecting the top 25 collaborators of Ascensión Gallardo-Antolín. A scholar is included among the top collaborators of Ascensión Gallardo-Antolín 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 Ascensión Gallardo-Antolín. Ascensión Gallardo-Antolín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 33 | |
| 10 | Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers | 111 |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 19 | |
| 14 | Development of a Genre-Dependent TTS System with Cross-Speaker Speaking-Style Transplantation | 1 |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | Some experiments on speaker-independent isolated digit recognition using SVM classifiers. | 5 |
| 20 | 5 |
About Ascensión Gallardo-Antolín
Ascensión Gallardo-Antolín is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 59 papers that have together received 716 indexed citations. Recurring topics across this work include Speech and Audio Processing (30 papers), Speech Recognition and Synthesis (28 papers) and Music and Audio Processing (19 papers). The work is most often cited by research in Signal Processing (290 citations), Artificial Intelligence (394 citations) and Developmental Biology (23 citations). Ascensión Gallardo-Antolín has collaborated with scholars based in Spain, Peru and Egypt. Frequent co-authors include Juan Manuel Montero, Fernando Díaz-de-María, Carmen Peláez-Moreno, Roberto Barra-Chicote, Jaime Lorenzo-Trueba, Junichi Yamagishi, Francisco J. Valverde-Albacete, Alexander Zlotnik, Kerlos Atia Abdalmalak and Rubén San-Segundo. Their work appears in journals such as PLoS ONE, Magnetic Resonance in Medicine and Expert Systems with Applications.
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.