Carolina Parada

About

Carolina Parada is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carolina Parada has authored 16 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carolina Parada’s work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (6 papers). Carolina Parada is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (6 papers). Carolina Parada collaborates with scholars based in United States and Colombia. Carolina Parada's co-authors include Tara N. Sainath, Georg Heigold, Guoguo Chen, Gabor Simko, Raziel Álvarez, Rohit Prabhavalkar, Mark Dredze, Frederick Jelinek, Shuo-Yiin Chang and Abhinav Sethy and has published in prestigious journals such as IEEE Robotics and Automation Letters, Journal of Physics Conference Series and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Carolina Parada i

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Fields of papers citing papers by Carolina Parada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carolina Parada

Since Specialization

Citations

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