Allyson Ettinger
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
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- Neurobiology of Language and Bilingualism
- Neuroscience and Music Perception
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 12
- Speech and dialogue systems 5
- Text Readability and Simplification 4
- Sentiment Analysis and Opinion Mining 1
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- Neurobiology of Language and Bilingualism 3
- Co-authors
- Philip Resnik (4 shared papers)Ahmed Elgohary (1 shared paper)Tal Linzen (2 shared papers)Alec Marantz (1 shared paper)Naomi H. Feldman (1 shared paper)Colin Phillips (1 shared paper)Kanishka Misra (1 shared paper)Marine Carpuat (1 shared paper)
- Journals
- Cognition (1 paper)Brain and Language (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cognitive Science (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Allyson Ettinger
18 papers receiving 234 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 194
- Cognitive Neuroscience 69
- Developmental and Educational Psychology 37
- Health Informatics 3
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Allyson Ettinger
This map shows the geographic impact of Allyson Ettinger'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 Allyson Ettinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allyson Ettinger more than expected).
Fields of papers citing papers by Allyson Ettinger
This network shows the impact of papers produced by Allyson Ettinger. 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 Allyson Ettinger. The network helps show where Allyson Ettinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Allyson Ettinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 66 | |
| 2 | 2014 | 43 | |
| 3 | 2020 | 39 | |
| 4 | Modeling N400 amplitude using vector space models of word representation. | 2016 | 15 |
| 5 | 2021 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2015 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2013 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Allyson Ettinger
Allyson Ettinger is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Language and Linguistics, having authored 23 papers that have together received 262 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (5 papers), Text Readability and Simplification (4 papers), Neurobiology of Language and Bilingualism (3 papers), Reading and Literacy Development (2 papers), Multimodal Machine Learning Applications (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (194 citations), Cognitive Neuroscience (69 citations), Developmental and Educational Psychology (37 citations), Health Informatics (3 citations) and Experimental and Cognitive Psychology (29 citations). Allyson Ettinger has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Philip Resnik, Ahmed Elgohary, Tal Linzen, Alec Marantz, Naomi H. Feldman, Colin Phillips, Kanishka Misra, Marine Carpuat, Sophia A. Malamud and Hal Daumé. Their work appears in journals such as Cognition, Brain and Language, Proceedings of the National Academy of Sciences, Cognitive Science and Proceedings of the AAAI Conference on Artificial Intelligence.
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.