Juan Pino

3.7k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Juan Pino is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Juan Pino has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juan Pino's work include Natural Language Processing Techniques (45 papers), Topic Modeling (29 papers) and Speech Recognition and Synthesis (26 papers). Juan Pino is often cited by papers focused on Natural Language Processing Techniques (45 papers), Topic Modeling (29 papers) and Speech Recognition and Synthesis (26 papers). Juan Pino collaborates with scholars based in United States, Israel and United Kingdom. Juan Pino's co-authors include Changhan Wang, Jiatao Gu, Xutai Ma, Yun Tang, Michael Auli, Alexei Baevski, Alexis Conneau, Anne Wu, Philipp Koehn and Qiantong Xu and has published in prestigious journals such as Applied Physics Letters, Communications in computer and information science and Empirical Methods in Natural Language Processing.

In The Last Decade

Juan Pino

51 papers receiving 1.2k citations

Hit Papers

XLS-R: Self-supervised Cr... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Pino United States 21 1.2k 289 157 33 32 51 1.3k
João P. Neto Portugal 16 600 0.5× 385 1.3× 121 0.8× 32 1.0× 47 1.5× 58 751
Laurent Besacier France 15 523 0.4× 178 0.6× 148 0.9× 34 1.0× 30 0.9× 73 665
Sarmad Hussain Pakistan 18 564 0.5× 123 0.4× 273 1.7× 60 1.8× 76 2.4× 68 805
Keiichiro Oura Japan 15 920 0.8× 666 2.3× 101 0.6× 18 0.5× 107 3.3× 69 1.1k
J. Fiscus United States 7 770 0.6× 473 1.6× 148 0.9× 21 0.6× 46 1.4× 11 901
Sebastian Stüker Germany 17 885 0.7× 274 0.9× 121 0.8× 19 0.6× 39 1.2× 69 931
Yossi Adi Israel 15 661 0.5× 395 1.4× 121 0.8× 10 0.3× 65 2.0× 56 838
Torbjørn Svendsen Norway 14 602 0.5× 470 1.6× 73 0.5× 12 0.4× 106 3.3× 73 676
Yannick Estève France 15 717 0.6× 331 1.1× 84 0.5× 17 0.5× 74 2.3× 74 816
Toshiyuki Takezawa Japan 15 860 0.7× 318 1.1× 72 0.5× 49 1.5× 39 1.2× 78 1.0k

Countries citing papers authored by Juan Pino

Since Specialization
Citations

This map shows the geographic impact of Juan Pino'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 Juan Pino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Pino more than expected).

Fields of papers citing papers by Juan Pino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Pino. 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 Juan Pino. The network helps show where Juan Pino may publish in the future.

Co-authorship network of co-authors of Juan Pino

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

All Works

20 of 20 papers shown
1.
2.
Yan, Brian, Yun Tang, Hirofumi Inaguma, et al.. (2023). ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. 400–411. 11 indexed citations
3.
Tang, Yun, et al.. (2023). Exploration on HuBERT with Multiple Resolution. 3287–3291. 1 indexed citations
4.
Wang, Changhan, Hirofumi Inaguma, Peng‐Jen Chen, et al.. (2023). Simple and Effective Unsupervised Speech Translation. 10771–10784. 9 indexed citations
5.
Inaguma, Hirofumi, Ilia Kulikov, Peng‐Jen Chen, et al.. (2023). UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units. 15655–15680. 18 indexed citations
6.
Tang, Yun, Anna Sun, Hirofumi Inaguma, et al.. (2023). Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks. 12441–12455. 4 indexed citations
7.
Chen, Peng‐Jen, Kevin Tran, Yilin Yang, et al.. (2023). Speech-to-Speech Translation for a Real-world Unwritten Language. 4969–4983. 12 indexed citations
8.
Tran, Chau, Changhan Wang, Yuqing Tang, et al.. (2020). Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation.. arXiv (Cornell University). 2 indexed citations
9.
Ma, Xutai, et al.. (2020). Monotonic Multihead Attention. arXiv (Cornell University). 22 indexed citations
10.
Specia, Lucia, Juan Pino, Vishrav Chaudhary, et al.. (2020). Findings of the WMT 2020 Shared Task on Machine Translation Robustness. Empirical Methods in Natural Language Processing. 76–91. 8 indexed citations
11.
Ma, Xutai, Juan Pino, & Philipp Koehn. (2020). SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation. 582–587. 23 indexed citations
12.
Wang, Changhan, Anne Wu, & Juan Pino. (2020). CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus. arXiv (Cornell University). 27 indexed citations
13.
Michel, Paul, Xian Li, Graham Neubig, & Juan Pino. (2019). On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. 3103–3114. 58 indexed citations
14.
Pino, Juan, et al.. (2013). The University of Cambridge Russian-English System at WMT13. Workshop on Statistical Machine Translation. 200–205. 6 indexed citations
15.
Pino, Juan, et al.. (2012). Simple and Efficient Model Filtering in Statistical Machine Translation. ˜The œPrague Bulletin of Mathematical Linguistics. 98(1). 5–24. 2 indexed citations
16.
Pino, Juan, et al.. (2010). The CUED HiFST System for the WMT10 Translation Shared Task. Cambridge University Engineering Department Publications Database. 155–160. 2 indexed citations
17.
Gispert, Adrià de, Juan Pino, & Bill Byrne. (2010). Hierarchical Phrase-Based Translation Grammars Extracted from Alignment Posterior Probabilities. Cambridge University Engineering Department Publications Database. 545–554. 9 indexed citations
18.
Marujo, Luís, José Lopes, Nuno Mamede, et al.. (2009). Porting REAP to European Portuguese. 69–72. 12 indexed citations
19.
Pino, Juan & Maxine Eskénazi. (2009). Measuring Hint Level in Open Cloze Questions. The Florida AI Research Society. 6 indexed citations
20.
Pino, Juan & Maxine Eskénazi. (2009). Semi-automatic generation of cloze question distractors effect of students² L1. 65–68. 17 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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