Benigno Uría

2.5k total citations
9 papers, 277 citations indexed

About

Benigno Uría is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Benigno Uría has authored 9 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Benigno Uría's work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Music and Audio Processing (3 papers). Benigno Uría is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Music and Audio Processing (3 papers). Benigno Uría collaborates with scholars based in United Kingdom, Canada and France. Benigno Uría's co-authors include Iain Murray, Steve Renals, Hugo Larochelle, Korin Richmond, Ivo Danihelka, Nal Kalchbrenner, Greg Wayne, Alex Graves, Oriol Vinyals and Adrià Puigdomènech Badia and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), Edinburgh Research Explorer and arXiv (Cornell University).

In The Last Decade

Benigno Uría

9 papers receiving 254 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benigno Uría United Kingdom 7 196 128 75 43 22 9 277
Titouan Parcollet France 9 214 1.1× 122 1.0× 74 1.0× 11 0.3× 20 0.9× 30 314
Adam Polyak Israel 10 344 1.8× 157 1.2× 123 1.6× 25 0.6× 11 0.5× 13 431
Kaoru Hiramatsu Japan 9 170 0.9× 142 1.1× 142 1.9× 16 0.4× 6 0.3× 25 328
Damien Vincent France 8 249 1.3× 218 1.7× 273 3.6× 40 0.9× 9 0.4× 12 551
Xing Fan United States 11 323 1.6× 178 1.4× 76 1.0× 16 0.4× 29 1.3× 36 403
Eleonora Grassucci Italy 10 103 0.5× 42 0.3× 75 1.0× 15 0.3× 16 0.7× 25 227
P. Kohn United States 7 331 1.7× 316 2.5× 56 0.7× 33 0.8× 31 1.4× 12 403
Deepti Bhatia United States 6 420 2.1× 263 2.1× 49 0.7× 13 0.3× 17 0.8× 11 481
Chenfei Wu China 10 279 1.4× 113 0.9× 200 2.7× 19 0.4× 5 0.2× 23 395
Jiaji Huang United States 9 191 1.0× 31 0.2× 78 1.0× 16 0.4× 9 0.4× 24 320

Countries citing papers authored by Benigno Uría

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benigno Uría

This figure shows the co-authorship network connecting the top 25 collaborators of Benigno Uría. A scholar is included among the top collaborators of Benigno Uría 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 Benigno Uría. Benigno Uría is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pritzel, Alexander, Benigno Uría, Sriram Srinivasan, et al.. (2017). Neural Episodic Control. arXiv (Cornell University). 2827–2836. 29 indexed citations
2.
Danihelka, Ivo, Greg Wayne, Benigno Uría, Nal Kalchbrenner, & Alex Graves. (2016). Associative Long Short-Term Memory. arXiv (Cornell University). 1986–1994. 52 indexed citations
3.
Uría, Benigno, Iain Murray, Steve Renals, Cassia Valentini-Botinhao, & John S. Bridle. (2015). Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE. Edinburgh Research Explorer (University of Edinburgh). 15. 4465–4469. 11 indexed citations
4.
Uría, Benigno, Iain Murray, & Hugo Larochelle. (2013). RNADE: The real-valued neural autoregressive density-estimator. arXiv (Cornell University). 26. 2175–2183. 50 indexed citations
5.
Uría, Benigno, Iain Murray, & Hugo Larochelle. (2013). A Deep and Tractable Density Estimator. arXiv (Cornell University). 467–475. 37 indexed citations
6.
Richmond, Korin, Zhen-Hua Ling, Junichi Yamagishi, & Benigno Uría. (2013). On the evaluation of inversion mapping performance in the acoustic domain. Edinburgh Research Explorer. 1012–1016. 3 indexed citations
7.
Uría, Benigno, Iain Murray, Steve Renals, & Korin Richmond. (2012). Deep architectures for articulatory inversion. Edinburgh Research Explorer. 867–870. 55 indexed citations
8.
Uría, Benigno, Steve Renals, & Korin Richmond. (2011). A Deep Neural Network for Acoustic-Articulatory Speech Inversion. Edinburgh Research Explorer (University of Edinburgh). 39 indexed citations
9.
Uría, Benigno. (2011). A Deep Belief Network for the Acoustic-Articulatory Inversion Mapping Problem. 1 indexed citations

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.

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