Kenton Murray
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 14
- Text Readability and Simplification 3
- Speech Recognition and Synthesis 2
- Speech and dialogue systems 1
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- Linguistic Variation and Morphology 2
- Co-authors
- Benjamin Van DurmeHaoran XuChristos FaloutsosAlex BeutelAlexander J. SmolaDavid ChiangStephan VogelHassan Sajjad
- Journals
- Machine Translation (1 paper)Workshop on Statistical Machine Translation (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
Kenton Murray
14 papers receiving 127 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 115
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 34
- Information Systems 37
- Health Informatics 2
Countries citing papers authored by Kenton Murray
This map shows the geographic impact of Kenton Murray'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 Kenton Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenton Murray more than expected).
Fields of papers citing papers by Kenton Murray
This network shows the impact of papers produced by Kenton Murray. 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 Kenton Murray. The network helps show where Kenton Murray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenton Murray, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 34 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 2 | |
| 15 | 2017 | 5 | |
| 16 | 2015 | 13 | |
| 17 | 2014 | 36 | |
| 18 | The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References | 2013 | 12 |
| 19 | QCRI at IWSLT 2013: Experiments in Arabic-English and English-Arabic Spoken Language Translation | 2013 | 14 |
About Kenton Murray
Kenton Murray is a scholar working on Artificial Intelligence, Linguistics and Language, Computer Vision and Pattern Recognition, Language and Linguistics and Experimental and Cognitive Psychology, having authored 19 papers that have together received 139 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers), Multimodal Machine Learning Applications (7 papers), Text Readability and Simplification (3 papers), Linguistic Variation and Morphology (2 papers), Speech Recognition and Synthesis (2 papers), Spam and Phishing Detection (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (115 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (34 citations), Information Systems (37 citations) and Health Informatics (2 citations). Kenton Murray has collaborated with scholars based in United States and Greece. Frequent co-authors include Benjamin Van Durme, Haoran Xu, Christos Faloutsos, Alex Beutel, Alexander J. Smola, David Chiang, Haoran Xu, Stephan Vogel, Hassan Sajjad and Francisco Guzmán. Their work appears in journals such as Machine Translation, Workshop on Statistical Machine Translation and Proceedings of the 2021 Conference on 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.