Alicia Parrish
Impact in
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Speech and dialogue systems 2
- Adversarial Robustness in Machine Learning 1
- Hate Speech and Cyberbullying Detection 1
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- Neurobiology of Language and Bilingualism 3
- Co-authors
- Haokun Liu (2 shared papers)Sheng‐Fu Wang (2 shared papers)Wei Peng (2 shared papers)Anhad Mohananey (2 shared papers)Samuel R. Bowman (3 shared papers)Jason Phang (5 shared papers)Samuel Bowman (3 shared papers)Phu Mon Htut (2 shared papers)
- Journals
- Neuropsychologia (1 paper)PLoS ONE (1 paper)PubMed (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
Alicia Parrish
11 papers receiving 315 citations
Peers
Comparison fields: 5 of 37
- Health Informatics 12
- Artificial Intelligence 279
- General Social Sciences 11
- Computer Vision and Pattern Recognition 61
- Cognitive Neuroscience 35
Countries citing papers authored by Alicia Parrish
This map shows the geographic impact of Alicia Parrish'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 Alicia Parrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia Parrish more than expected).
Fields of papers citing papers by Alicia Parrish
This network shows the impact of papers produced by Alicia Parrish. 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 Alicia Parrish. The network helps show where Alicia Parrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Alicia Parrish, 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 | 2020 | 158 | |
| 2 | 2022 | 74 | |
| 3 | 2019 | 50 | |
| 4 | 2022 | 22 | |
| 5 | 2023 | 8 | |
| 6 | 2021 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 0 |
About Alicia Parrish
Alicia Parrish is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Information Systems, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Reading and Literacy Development (3 papers), Neurobiology of Language and Bilingualism (3 papers), Speech and dialogue systems (2 papers), Adversarial Robustness in Machine Learning (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (279 citations), General Social Sciences (11 citations), Computer Vision and Pattern Recognition (61 citations) and Cognitive Neuroscience (35 citations). Alicia Parrish has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include Haokun Liu, Sheng‐Fu Wang, Wei Peng, Anhad Mohananey, Samuel R. Bowman, Jason Phang, Samuel Bowman, Phu Mon Htut, Nikita Nangia and Vishakh Padmakumar. Their work appears in journals such as Neuropsychologia, PLoS ONE, PubMed, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Findings of the Association for Computational Linguistics: ACL 2022.
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.