Clara Meister

775 total citations
30 papers, 358 citations indexed

About

Clara Meister is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Clara Meister has authored 30 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 5 papers in Developmental and Educational Psychology. Recurrent topics in Clara Meister's work include Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Text Readability and Simplification (8 papers). Clara Meister is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Text Readability and Simplification (8 papers). Clara Meister collaborates with scholars based in Switzerland, United Kingdom and United States. Clara Meister's co-authors include Ryan Cotterell, Pinjia He, Zhendong Su, Tiago Pimentel, Roger Lévy, Tim Vieira, Cory Shain, Jason Wei, Mrinmaya Sachan and Ethan Wilcox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cognition and Transactions of the Association for Computational Linguistics.

In The Last Decade

Clara Meister

28 papers receiving 345 citations

Peers

Clara Meister
Shashank Srikant United States
Dieuwke Hupkes Netherlands
Rüdi Lutz United Kingdom
Norman Peitek Germany
Teresa Busjahn Germany
Maarten Versteegh Netherlands
Grzegorz Chrupała Netherlands
Mitch Marcus United States
Tim Shaffer United States
Hidetake Uwano Japan
Shashank Srikant United States
Clara Meister
Citations per year, relative to Clara Meister Clara Meister (= 1×) peers Shashank Srikant

Countries citing papers authored by Clara Meister

Since Specialization
Citations

This map shows the geographic impact of Clara Meister'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 Clara Meister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Meister more than expected).

Fields of papers citing papers by Clara Meister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara Meister. 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 Clara Meister. The network helps show where Clara Meister may publish in the future.

Co-authorship network of co-authors of Clara Meister

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

All Works

20 of 20 papers shown
1.
Meister, Clara, Mario Giulianelli, & Tiago Pimentel. (2024). Towards a Similarity-adjusted Surprisal Theory. 16485–16498. 1 indexed citations
2.
Malagutti, L., et al.. (2024). The Role of n-gram Smoothing in the Age of Neural Networks. Repository for Publications and Research Data (ETH Zurich). 6882–6899.
3.
Meister, Clara, et al.. (2024). Causal Estimation of Memorisation Profiles. 15616–15635. 2 indexed citations
4.
Pimentel, Tiago & Clara Meister. (2024). How to Compute the Probability of a Word. 18358–18375. 1 indexed citations
5.
Wilcox, Ethan, Tiago Pimentel, Clara Meister, & Ryan Cotterell. (2024). An information-theoretic analysis of targeted regressions during reading. Cognition. 249. 105765–105765. 1 indexed citations
6.
Shain, Cory, Clara Meister, Tiago Pimentel, Ryan Cotterell, & Roger Lévy. (2024). Large-scale evidence for logarithmic effects of word predictability on reading time. Proceedings of the National Academy of Sciences. 121(10). e2307876121–e2307876121. 29 indexed citations
7.
Meister, Clara, Tiago Pimentel, L. Malagutti, Ethan Wilcox, & Ryan Cotterell. (2023). On the Efficacy of Sampling Adapters. 1437–1455. 1 indexed citations
8.
Meister, Clara, Tiago Pimentel, Michael G. Hahn, et al.. (2023). A Cross-Linguistic Pressure for Uniform Information Density in Word Order. Transactions of the Association for Computational Linguistics. 11. 1048–1065. 3 indexed citations
9.
Meister, Clara, et al.. (2023). A Formal Perspective on Byte-Pair Encoding. 598–614. 10 indexed citations
10.
Du, Li, et al.. (2023). A Measure-Theoretic Characterization of Tight Language Models. 9744–9770. 3 indexed citations
11.
Cotterell, Ryan, et al.. (2023). Generating Text from Language Models. 27–31.
12.
Meister, Clara, et al.. (2023). Locally Typical Sampling. Transactions of the Association for Computational Linguistics. 11. 102–121. 41 indexed citations
13.
Wilcox, Ethan, Clara Meister, Ryan Cotterell, & Tiago Pimentel. (2023). Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. Repository for Publications and Research Data (ETH Zurich). 7503–7511. 4 indexed citations
14.
Pimentel, Tiago, et al.. (2023). Naturalistic Causal Probing for Morpho-Syntax. Transactions of the Association for Computational Linguistics. 11. 384–403. 2 indexed citations
15.
Meister, Clara, et al.. (2022). Estimating the Entropy of Linguistic Distributions. 175–195. 3 indexed citations
16.
Cotterell, Ryan, et al.. (2022). Mutual Information Alleviates Hallucinations in Abstractive Summarization. 5956–5965. 16 indexed citations
17.
He, Pinjia, Clara Meister, & Zhendong Su. (2021). Testing Machine Translation via Referential Transparency. 410–422. 35 indexed citations
18.
Meister, Clara, et al.. (2021). Revisiting the Uniform Information Density Hypothesis. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 963–980. 2 indexed citations
19.
Meister, Clara, et al.. (2020). SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team. 106–110. 1 indexed citations
20.
He, Pinjia, et al.. (2020). Machine translation testing via pathological invariance. 863–875. 28 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shashank Srikant Breakdown of academic impact, for papers by Dieuwke Hupkes Breakdown of academic impact, for papers by Rüdi Lutz Breakdown of academic impact, for papers by Norman Peitek Breakdown of academic impact, for papers by Teresa Busjahn Breakdown of academic impact, for papers by Maarten Versteegh Breakdown of academic impact, for papers by Grzegorz Chrupała Breakdown of academic impact, for papers by Mitch Marcus Breakdown of academic impact, for papers by Tim Shaffer Breakdown of academic impact, for papers by Hidetake Uwano
Rankless by CCL
2026