Jason Riesa
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
-
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Natural Language Processing Techniques 11
- Topic Modeling 8
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 4
- Text Readability and Simplification 2
- Authorship Attribution and Profiling 1
- Co-authors
- Daniel Marcu (4 shared papers)Melvin Johnson (2 shared papers)Naveen Arivazhagan (1 shared paper)Ankur Bapna (4 shared papers)Xin Li (1 shared paper)Henry Tsai (1 shared paper)Simran Khanuja (2 shared papers)Alexis Conneau (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)Meeting of the Association for Computational Linguistics (1 paper)Interspeech 2022 (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United States
In The Last Decade
Jason Riesa
11 papers receiving 220 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 231
- Signal Processing 29
- Computer Vision and Pattern Recognition 44
- Language and Linguistics 13
- Linguistics and Language 3
Countries citing papers authored by Jason Riesa
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).
Fields of papers citing papers by Jason Riesa
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.
Co-authors
The 25 scholars most cited alongside Jason Riesa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 73 | |
| 2 | 2019 | 60 | |
| 3 | Hierarchical Search for Word Alignment | 2010 | 22 |
| 4 | 2018 | 18 | |
| 5 | Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation | 2011 | 16 |
| 6 | 2006 | 16 | |
| 7 | Minimally Supervised Morphological Segmentation with Applications to Machine Translation | 2006 | 13 |
| 8 | 2022 | 10 | |
| 9 | Automatic Parallel Fragment Extraction from Noisy Data | 2012 | 9 |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Jason Riesa
Jason Riesa is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases, having authored 14 papers that have together received 250 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (4 papers), Text Readability and Simplification (2 papers), Music and Audio Processing (1 paper), Speech and Audio Processing (1 paper) and Authorship Attribution and Profiling (1 paper). The work is most often cited by research in Artificial Intelligence (231 citations), Signal Processing (29 citations), Computer Vision and Pattern Recognition (44 citations), Language and Linguistics (13 citations) and Linguistics and Language (3 citations). Jason Riesa has collaborated with scholars based in United States. Frequent co-authors include Daniel Marcu, Melvin Johnson, Naveen Arivazhagan, Ankur Bapna, Xin Li, Henry Tsai, Simran Khanuja, Alexis Conneau, Vera Axelrod and Yu Zhang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, North American Chapter of the Association for Computational Linguistics, Meeting of the Association for Computational Linguistics, Interspeech 2022 and Empirical Methods in Natural Language Processing.
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.