Alicia Parrish

2.7k total citations
11 papers, 306 citations indexed

About

Alicia Parrish is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Alicia Parrish has authored 11 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 3 papers in Developmental and Educational Psychology. Recurrent topics in Alicia Parrish's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Reading and Literacy Development (3 papers). Alicia Parrish is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Reading and Literacy Development (3 papers). Alicia Parrish collaborates with scholars based in United States, United Arab Emirates and United Kingdom. Alicia Parrish's co-authors include Samuel R. Bowman, Anhad Mohananey, Alex Warstadt, Sheng‐Fu Wang, Haokun Liu, Wei Peng, Jason Phang, Phu Mon Htut, Nikita Nangia and Samuel Bowman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neuropsychologia.

In The Last Decade

Alicia Parrish

9 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Parrish United States 6 265 60 34 15 13 11 306
Najoung Kim United States 10 289 1.1× 80 1.3× 34 1.0× 18 1.2× 33 2.5× 19 354
Alex Warstadt United States 6 274 1.0× 62 1.0× 36 1.1× 15 1.0× 8 0.6× 15 299
Allyson Ettinger United States 9 179 0.7× 38 0.6× 66 1.9× 34 2.3× 6 0.5× 22 243
Jon Gauthier United States 7 231 0.9× 61 1.0× 38 1.1× 10 0.7× 7 0.5× 10 267
Denis Paperno Italy 10 264 1.0× 55 0.9× 12 0.4× 8 0.5× 11 0.8× 30 322
Verna Dankers Netherlands 9 228 0.9× 52 0.9× 14 0.4× 9 0.6× 16 1.2× 14 270
Sandro Pezzelle Netherlands 7 160 0.6× 75 1.3× 16 0.5× 6 0.4× 7 0.5× 32 224
Johannes Bjerva Denmark 12 325 1.2× 43 0.7× 7 0.2× 10 0.7× 24 1.8× 46 364
Lea Frermann Australia 7 180 0.7× 15 0.3× 6 0.2× 12 0.8× 13 1.0× 34 229
Stella Frank United Kingdom 9 331 1.2× 251 4.2× 5 0.1× 15 1.0× 4 0.3× 21 400

Countries citing papers authored by Alicia Parrish

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Alicia Parrish

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

All Works

11 of 11 papers shown
2.
Parrish, Alicia, Oana Inel, Hannah Rose Kirk, et al.. (2024). Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. 388–406. 3 indexed citations
3.
Prabhakaran, Vinodkumar, Christopher M. Homan, Lora Aroyo, et al.. (2024). GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. 3473–3492. 1 indexed citations
4.
Michael, Julian, Ari Holtzman, Alicia Parrish, et al.. (2023). What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. 16334–16368. 7 indexed citations
5.
Parrish, Alicia, et al.. (2023). MEG correlates of speech planning in simple vs. interactive picture naming in children and adults. PLoS ONE. 18(10). e0292316–e0292316.
6.
Parrish, Alicia, Nikita Nangia, Vishakh Padmakumar, et al.. (2022). BBQ: A hand-built bias benchmark for question answering. Findings of the Association for Computational Linguistics: ACL 2022. 2086–2105. 64 indexed citations
7.
Pang, Richard Yuanzhe, Alicia Parrish, Nikita Nangia, et al.. (2022). QuALITY: Question Answering with Long Input Texts, Yes!. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5336–5358. 21 indexed citations
8.
Parrish, Alicia, Harsh Trivedi, Ethan Perez, et al.. (2022). Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions. 17–28. 1 indexed citations
9.
Parrish, Alicia & Liina Pylkkänen. (2021). Conceptual Combination in the LATL With and Without Syntactic Composition. SHILAP Revista de lepidopterología. 3(1). 46–66. 6 indexed citations
10.
Warstadt, Alex, Alicia Parrish, Haokun Liu, et al.. (2020). BLiMP: The Benchmark of Linguistic Minimal Pairs for English (Electronic Resources). Faculty Digital Archive (New York University Florence). 155 indexed citations
11.
Warstadt, Alex, Yu Cao, Wei Peng, et al.. (2019). Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs. Faculty Digital Archive (New York University Florence). 2877–2887. 48 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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