Juan Pino

133 total papers · 3.6k total citations
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, Wei-Ning Hsu 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juan Pino 1.2k 283 157 33 31 51 1.3k
Naman Goyal 1.1k 0.9× 132 0.5× 270 1.7× 66 2.0× 23 0.7× 26 1.2k
Kartik Audhkhasi 803 0.7× 455 1.6× 106 0.7× 25 0.8× 84 2.7× 64 1.1k
Alexander Gruenstein 923 0.8× 406 1.4× 111 0.7× 47 1.4× 27 0.9× 37 1.1k
Vincent Wan 907 0.8× 771 2.7× 227 1.4× 27 0.8× 111 3.6× 49 1.3k
Wei-Ning Hsu 1.2k 1.0× 680 2.4× 142 0.9× 35 1.1× 74 2.4× 51 1.4k
Kai-Fu Lee 1.2k 1.0× 714 2.5× 195 1.2× 33 1.0× 101 3.3× 33 1.4k
Mei-Yuh Hwang 1.3k 1.1× 727 2.6× 220 1.4× 39 1.2× 77 2.5× 68 1.5k
Akinobu Lee 875 0.7× 588 2.1× 135 0.9× 21 0.6× 69 2.2× 67 1.2k
Olivier Siohan 1.1k 0.9× 960 3.4× 126 0.8× 32 1.0× 55 1.8× 74 1.3k
Changhan Wang 1.1k 0.9× 276 1.0× 160 1.0× 42 1.3× 34 1.1× 40 1.2k

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

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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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