Aitor Álvarez
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 15
- Natural Language Processing Techniques 10
- Speech and dialogue systems 3
- Topic Modeling 2
-
- Music and Audio Processing 8
- Speech and Audio Processing 6
- Co-authors
- Juan M. Martín-Doñas (6 shared papers)Juan Camilo Vásquez-Correa (4 shared papers)Iván G. Torre (3 shared papers)Basilio Sierra (2 shared papers)Nestor Garay-Vitoria (1 shared paper)Juan Miguel López (1 shared paper)Elena Lazkano (1 shared paper)Carlos-D. Martínez-Hinarejos (3 shared papers)
- Journals
- Applied Sciences (5 papers)Sensors (2 papers)IEEE Signal Processing Letters (1 paper)Computer Speech & Language (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- SpainPortugalSwitzerland
In The Last Decade
Aitor Álvarez
24 papers receiving 205 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 91
- Artificial Intelligence 125
- Language and Linguistics 33
- Computer Vision and Pattern Recognition 57
- Experimental and Cognitive Psychology 25
Countries citing papers authored by Aitor Álvarez
This map shows the geographic impact of Aitor Álvarez'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 Aitor Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aitor Álvarez more than expected).
Fields of papers citing papers by Aitor Álvarez
This network shows the impact of papers produced by Aitor Álvarez. 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 Aitor Álvarez. The network helps show where Aitor Álvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Aitor Álvarez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2021 | 22 | |
| 3 | 2015 | 21 | |
| 4 | 2023 | 17 | |
| 5 | 2014 | 15 | |
| 6 | 2015 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2015 | 9 | |
| 9 | 2016 | 7 | |
| 10 | 2010 | 7 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 1 |
About Aitor Álvarez
Aitor Álvarez is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Language and Linguistics and Information Systems, having authored 29 papers that have together received 218 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (10 papers), Music and Audio Processing (8 papers), Speech and Audio Processing (6 papers), Subtitles and Audiovisual Media (5 papers), Translation Studies and Practices (4 papers), Speech and dialogue systems (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Signal Processing (91 citations), Artificial Intelligence (125 citations), Language and Linguistics (33 citations), Computer Vision and Pattern Recognition (57 citations) and Experimental and Cognitive Psychology (25 citations). Aitor Álvarez has collaborated with scholars based in Spain, Portugal and Switzerland. Frequent co-authors include Juan M. Martín-Doñas, Juan Camilo Vásquez-Correa, Iván G. Torre, Basilio Sierra, Nestor Garay-Vitoria, Juan Miguel López, Elena Lazkano, Carlos-D. Martínez-Hinarejos, Sérgio Roberto de Paulo and Carlo Aliprandi. Their work appears in journals such as Applied Sciences, Sensors, IEEE Signal Processing Letters, Computer Speech & Language and Multimedia Tools and 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.