Benigno Uría
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Speech and Audio Processing 4
- Music and Audio Processing 3
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- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 1
- Co-authors
- Steve J. Renals (3 shared papers)Korin Richmond (3 shared papers)Iain Murray (2 shared papers)John S. Bridle (1 shared paper)Cassia Valentini-Botinhao (1 shared paper)Junichi Yamagishi (1 shared paper)Zhen-Hua Ling (1 shared paper)
- Journals
- Nature (1 paper)Edinburgh Research Explorer (University of Edinburgh) (4 papers)
- Partner nations
- United KingdomIsraelChina
In The Last Decade
Benigno Uría
6 papers receiving 492 citations
Benigno Uría's Hit Papers
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 241
- Signal Processing 106
- Sensory Systems 24
- Artificial Intelligence 183
- Cellular and Molecular Neuroscience 88
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 7 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 | Vector-based navigation using grid-like representations in artificial agents Hit paper breakdown → | 2018 | 402 |
| 2 | 2012 | 59 | |
| 3 | A Deep Neural Network for Acoustic-Articulatory Speech Inversion | 2011 | 41 |
| 4 | 2015 | 12 | |
| 5 | 2013 | 3 | |
| 6 | A Deep Belief Network for the Acoustic-Articulatory Inversion Mapping Problem | 2011 | 1 |
About Benigno Uría
Benigno Uría is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 518 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), Robotics and Sensor-Based Localization (1 paper), Robotic Path Planning Algorithms (1 paper), Memory and Neural Mechanisms (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (241 citations), Signal Processing (106 citations), Sensory Systems (24 citations), Artificial Intelligence (183 citations) and Cellular and Molecular Neuroscience (88 citations). Benigno Uría has collaborated with scholars based in United Kingdom, Israel and China. Frequent co-authors include Steve J. Renals, Korin Richmond, Iain Murray, John S. Bridle, Cassia Valentini-Botinhao, Junichi Yamagishi and Zhen-Hua Ling. Their work appears in journals such as Nature 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.