Aaron Mueller
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Text Readability and Simplification
- Hate Speech and Cyberbullying Detection
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 13
- Topic Modeling 12
- Text Readability and Simplification 2
- Sentiment Analysis and Opinion Mining 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Tal Linzen (5 shared papers)Marten van Schijndel (1 shared paper)David Yarowsky (4 shared papers)Arya D. McCarthy (4 shared papers)Garrett Nicolai (3 shared papers)Elman Mansimov (1 shared paper)Dan Roth (1 shared paper)Saab Mansour (1 shared paper)
- Journals
- Language Resources and Evaluation (3 papers)The American Journal of Emergency Medicine (1 paper)Journal of Memory and Language (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Aaron Mueller
14 papers receiving 154 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 33
- Health Informatics 2
- Language and Linguistics 17
- Cultural Studies 8
Countries citing papers authored by Aaron Mueller
This map shows the geographic impact of Aaron Mueller'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 Aaron Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Mueller more than expected).
Fields of papers citing papers by Aaron Mueller
This network shows the impact of papers produced by Aaron Mueller. 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 Aaron Mueller. The network helps show where Aaron Mueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Mueller, 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 | The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration | 2020 | 33 |
| 2 | 2019 | 29 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 21 | |
| 5 | An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. | 2020 | 11 |
| 6 | 2023 | 10 | |
| 7 | Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. | 2020 | 8 |
| 8 | 2019 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Aaron Mueller
Aaron Mueller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cultural Studies, Cognitive Neuroscience and Literature and Literary Theory, having authored 16 papers that have together received 168 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Language and cultural evolution (2 papers), Text Readability and Simplification (2 papers), Multimodal Machine Learning Applications (2 papers), Lexicography and Language Studies (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Neurobiology of Language and Bilingualism (1 paper). The work is most often cited by research in Artificial Intelligence (145 citations), Computer Vision and Pattern Recognition (33 citations), Health Informatics (2 citations), Language and Linguistics (17 citations) and Cultural Studies (8 citations). Aaron Mueller has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Tal Linzen, Marten van Schijndel, David Yarowsky, Arya D. McCarthy, Garrett Nicolai, Elman Mansimov, Dan Roth, Saab Mansour, Mark Dredze and Yi Zhang. Their work appears in journals such as Language Resources and Evaluation, The American Journal of Emergency Medicine, Journal of Memory and Language, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.