Jason Riesa

13 papers and 212 indexed citations i.

About

Jason Riesa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jason Riesa has authored 13 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Jason Riesa’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (4 papers). Jason Riesa is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (4 papers). Jason Riesa collaborates with scholars based in United States. Jason Riesa's co-authors include Daniel Marcu, Henry Tsai, Melvin Johnson, Naveen Arivazhagan, Xin Li, Ankur Bapna, Dan Garrette, Hyung Won Chung, Orhan Fırat and Aditya Siddhant and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Jason Riesa i

Fields of papers citing papers by Jason Riesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jason Riesa

Since Specialization
Citations

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