Jason Riesa

7.2k total citations
14 papers, 250 citations indexed

About

Jason Riesa is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jason Riesa has authored 14 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jason Riesa's work include Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Speech and dialogue systems (4 papers). Jason Riesa is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers) and Speech and dialogue systems (4 papers). Jason Riesa collaborates with scholars based in United States. Jason Riesa's co-authors include Daniel Marcu, Melvin Johnson, Naveen Arivazhagan, Henry Tsai, Xin Li, Ankur Bapna, Alexis Conneau, Vera Axelrod, Simran Khanuja and Clara E. Rivera and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Jason Riesa

11 papers receiving 220 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Riesa United States 9 231 44 29 13 11 14 250
Matthias Paulik United States 11 335 1.5× 51 1.2× 38 1.3× 10 0.8× 7 0.6× 30 348
Carlos-D. Martínez-Hinarejos Spain 9 167 0.7× 99 2.3× 31 1.1× 20 1.5× 5 0.5× 40 234
Adrià Giménez Spain 11 209 0.9× 102 2.3× 63 2.2× 10 0.8× 8 0.7× 23 272
S.F. Chen United States 6 276 1.2× 25 0.6× 71 2.4× 8 0.6× 8 0.7× 8 304
Sumanth Doddapaneni India 7 179 0.8× 38 0.9× 27 0.9× 9 0.7× 10 0.9× 14 208
Jindřich Helcl Czechia 9 282 1.2× 126 2.9× 10 0.3× 11 0.8× 12 1.1× 16 304
Win Pa Pa Myanmar 9 208 0.9× 74 1.7× 19 0.7× 19 1.5× 8 0.7× 39 228
Felix Stahlberg United Kingdom 10 262 1.1× 75 1.7× 16 0.6× 7 0.5× 14 1.3× 29 284
Xiaochang Peng United States 10 291 1.3× 42 1.0× 16 0.6× 6 0.5× 22 2.0× 15 312
Stig-Arne Grönroos Finland 9 335 1.5× 91 2.1× 15 0.5× 23 1.8× 11 1.0× 23 358

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).

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.

Co-authorship network of co-authors of Jason Riesa

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Riesa. A scholar is included among the top collaborators of Jason Riesa 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 Jason Riesa. Jason Riesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Deutsch, Daniel, Isaac Caswell, Jason Riesa, et al.. (2025). WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects. 12257–12284.
2.
Ma, Min, Shikhar Vashishth, Ankur Bapna, et al.. (2024). Multimodal Modeling for Spoken Language Identification. 11526–11530.
3.
Ma, Min, Yuma Koizumi, Shigeki Karita, et al.. (2024). FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks. 1835–1839. 1 indexed citations
4.
Dozat, Timothy, Xavier García, Dan Garrette, et al.. (2023). FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation. Transactions of the Association for Computational Linguistics. 11. 671–685. 4 indexed citations
5.
Conneau, Alexis, Min Ma, Simran Khanuja, et al.. (2023). FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. 798–805. 73 indexed citations
6.
Sellam, Thibault, et al.. (2023). SQuId: Measuring Speech Naturalness in Many Languages. 1–5. 8 indexed citations
7.
Conneau, Alexis, Ankur Bapna, Yu Zhang, et al.. (2022). XTREME-S: Evaluating Cross-lingual Speech Representations. Interspeech 2022. 3248–3252. 10 indexed citations
8.
Tsai, Henry, et al.. (2019). Small and Practical BERT Models for Sequence Labeling. 60 indexed citations
9.
Zhang, Yuan, et al.. (2018). A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. 328–337. 18 indexed citations
10.
Riesa, Jason & Daniel Marcu. (2012). Automatic Parallel Fragment Extraction from Noisy Data. North American Chapter of the Association for Computational Linguistics. 14(13-15). 538–542. 9 indexed citations
11.
Riesa, Jason, Ann Irvine, & Daniel Marcu. (2011). Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation. Empirical Methods in Natural Language Processing. 497–507. 16 indexed citations
12.
Riesa, Jason & Daniel Marcu. (2010). Hierarchical Search for Word Alignment. Meeting of the Association for Computational Linguistics. 157–166. 22 indexed citations
13.
Riesa, Jason, Behrang Mohit, Kevin Knight, & Daniel Marcu. (2006). Building an English-iraqi Arabic machine translation system for spoken utterances with limited resources. paper 2012–Tue1A1O.1. 16 indexed citations
14.
Riesa, Jason & David Yarowsky. (2006). Minimally Supervised Morphological Segmentation with Applications to Machine Translation. 185–192. 13 indexed citations

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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