Benigno Uría
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in ⓘ
-
- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 1
- Neural Networks and Applications 1
- Neural Networks and Reservoir Computing 1
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- Speech and Audio Processing 4
- Music and Audio Processing 3
- Co-authors
- Iain Murray (4 shared papers)Hugo Larochelle (2 shared papers)Steve Renals (3 shared papers)Korin Richmond (3 shared papers)Ivo Danihelka (1 shared paper)Alex Graves (1 shared paper)Nal Kalchbrenner (1 shared paper)Greg Wayne (1 shared paper)
- Journals
- Edinburgh Research Explorer (2 papers)arXiv (Cornell University) (4 papers)Edinburgh Research Explorer (University of Edinburgh) (2 papers)
- Partner nations
- United KingdomCanadaFrance
In The Last Decade
Benigno Uría
9 papers receiving 254 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 128
- Computational Mathematics 4
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 75
- Experimental and Cognitive Psychology 43
Countries citing papers authored by Benigno Uría
This map shows the geographic impact of Benigno Uría'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 Benigno Uría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benigno Uría more than expected).
Fields of papers citing papers by Benigno Uría
This network shows the impact of papers produced by Benigno Uría. 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 Benigno Uría. The network helps show where Benigno Uría may publish in the future.
Co-authors
The 19 scholars most cited alongside Benigno Uría, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2016 | 52 | |
| 3 | 2013 | 50 | |
| 4 | A Deep Neural Network for Acoustic-Articulatory Speech Inversion | 2011 | 39 |
| 5 | 2013 | 37 | |
| 6 | 2017 | 29 | |
| 7 | 2015 | 11 | |
| 8 | 2013 | 3 | |
| 9 | A Deep Belief Network for the Acoustic-Articulatory Inversion Mapping Problem | 2011 | 1 |
About Benigno Uría
Benigno Uría is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 9 papers that have together received 277 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Phonetics and Phonology Research (2 papers), Natural Language Processing Techniques (1 paper), Face and Expression Recognition (1 paper), Neural Networks and Applications (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Signal Processing (128 citations), Computational Mathematics (4 citations), Artificial Intelligence (196 citations), Computer Vision and Pattern Recognition (75 citations) and Experimental and Cognitive Psychology (43 citations). Benigno Uría has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Iain Murray, Hugo Larochelle, Steve Renals, Korin Richmond, Ivo Danihelka, Alex Graves, Nal Kalchbrenner, Greg Wayne, Daan Wierstra and Charles Blundell. Their work appears in journals such as Edinburgh Research Explorer, arXiv (Cornell University) and Edinburgh Research Explorer (University of Edinburgh).
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.