Juan Pino

43 papers and 851 indexed citations i.

About

Juan Pino is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Juan Pino has authored 43 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Juan Pino’s work include Natural Language Processing Techniques (38 papers), Topic Modeling (25 papers) and Speech Recognition and Synthesis (23 papers). Juan Pino is often cited by papers focused on Natural Language Processing Techniques (38 papers), Topic Modeling (25 papers) and Speech Recognition and Synthesis (23 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, Xian Li and Qiantong Xu and has published in prestigious journals such as Applied Physics Letters, Communications in computer and information science and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Juan Pino i

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.

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).

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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