Maria Barrett

535 total citations
21 papers, 287 citations indexed

About

Maria Barrett is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Maria Barrett has authored 21 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 4 papers in Human-Computer Interaction. Recurrent topics in Maria Barrett's work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Neurobiology of Language and Bilingualism (5 papers). Maria Barrett is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers) and Neurobiology of Language and Bilingualism (5 papers). Maria Barrett collaborates with scholars based in Denmark, Switzerland and United States. Maria Barrett's co-authors include Anders Søgaard, Joachim Bingel, Nora Hollenstein, Frank Keller, Marek Rei, Cédric Renggli, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott and Ce Zhang and has published in prestigious journals such as Frontiers in Human Neuroscience, Language Resources and Evaluation and Language and Linguistics Compass.

In The Last Decade

Maria Barrett

21 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Barrett Denmark 11 221 85 54 33 21 21 287
Nora Hollenstein Switzerland 12 354 1.6× 160 1.9× 66 1.2× 56 1.7× 41 2.0× 40 487
Abhijit Mishra India 13 336 1.5× 30 0.4× 81 1.5× 54 1.6× 40 1.9× 28 399
Michael Hahn United States 10 196 0.9× 72 0.8× 26 0.5× 8 0.2× 11 0.5× 36 306
Péter Halácsy Hungary 9 274 1.2× 31 0.4× 21 0.4× 17 0.5× 10 0.5× 14 347
Pascual Martínez-Gómez Japan 9 178 0.8× 14 0.2× 60 1.1× 39 1.2× 9 0.4× 28 235
Samar Husain India 12 393 1.8× 123 1.4× 32 0.6× 5 0.2× 9 0.4× 47 468
Stephanie Elzer United States 9 130 0.6× 66 0.8× 139 2.6× 38 1.2× 4 0.2× 21 283
Diptesh Kanojia India 10 208 0.9× 14 0.2× 43 0.8× 24 0.7× 23 1.1× 50 246
Robert Östling Sweden 11 351 1.6× 11 0.1× 25 0.5× 16 0.5× 28 1.3× 41 410
Frédéric Landragin France 10 125 0.6× 27 0.3× 32 0.6× 17 0.5× 9 0.4× 46 257

Countries citing papers authored by Maria Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Maria Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Barrett. A scholar is included among the top collaborators of Maria Barrett 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 Maria Barrett. Maria Barrett 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.
Barrett, Maria, et al.. (2023). Native Language Prediction from Gaze: a Reproducibility Study. IT University Of Copenhagen (IT University of Copenhagen). 152–159. 1 indexed citations
2.
Hollenstein, Nora, et al.. (2023). Dyslexia Prediction from Natural Reading of Danish Texts. DSpace repository (University of Tartu). 1 indexed citations
3.
Barrett, Maria, et al.. (2022). The Sensitivity of Annotator Bias to Task Definitions in Argument Mining. IT University Of Copenhagen (IT University of Copenhagen). 3 indexed citations
4.
Hollenstein, Nora, et al.. (2021). Decoding EEG Brain Activity for Multi-Modal Natural Language Processing. Frontiers in Human Neuroscience. 15. 659410–659410. 26 indexed citations
5.
Barrett, Maria, et al.. (2021). DaNLP: An open-source toolkit for Danish Natural Language Processing.. DSpace repository (University of Tartu). 460–466. 2 indexed citations
6.
Barrett, Maria, et al.. (2021). Spurious Correlations in Cross-Topic Argument Mining. IT University Of Copenhagen (IT University of Copenhagen). 263–277. 3 indexed citations
7.
Barrett, Maria, et al.. (2020). DaNE: A Named Entity Resource for Danish.. Language Resources and Evaluation. 4597–4604. 5 indexed citations
8.
Barrett, Maria & Nora Hollenstein. (2020). Sequence labelling and sequence classification with gaze: Novel uses of eye‐tracking data for Natural Language Processing. Language and Linguistics Compass. 14(11). 1–16. 9 indexed citations
9.
Hollenstein, Nora, Maria Barrett, & Lisa Beinborn. (2020). Towards Best Practices for Leveraging Human Language Processing Signals for Natural Language Processing. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 15–27. 10 indexed citations
10.
Barrett, Maria, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, & Anders Søgaard. (2019). Adversarial Removal of Demographic Attributes Revisited. Research at the University of Copenhagen (University of Copenhagen). 6329–6334. 19 indexed citations
11.
Barrett, Maria, Joachim Bingel, Nora Hollenstein, Marek Rei, & Anders Søgaard. (2018). Sequence Classification with Human Attention. Research at the University of Copenhagen (University of Copenhagen). 302–312. 54 indexed citations
12.
Barrett, Maria, et al.. (2018). Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. Research at the University of Copenhagen (University of Copenhagen). 2028–2038. 12 indexed citations
13.
Bingel, Joachim, et al.. (2018). Predicting misreadings from gaze in children with reading difficulties. Research at the University of Copenhagen (University of Copenhagen). 24–34. 13 indexed citations
14.
Barrett, Maria, Frank Keller, & Anders Søgaard. (2016). Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features. Research at the University of Copenhagen (University of Copenhagen). 1330–1339. 11 indexed citations
15.
Barrett, Maria, Joachim Bingel, Frank Keller, & Anders Søgaard. (2016). Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data. Edinburgh Research Explorer. 579–584. 47 indexed citations
16.
Bingel, Joachim, Maria Barrett, & Anders Søgaard. (2016). Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction. Research at the University of Copenhagen (University of Copenhagen). 747–755. 15 indexed citations
17.
Barrett, Maria & Anders Søgaard. (2015). Reading behavior predicts syntactic categories. Research at the University of Copenhagen (University of Copenhagen). 345–349. 26 indexed citations
18.
Castilho, Sheila, et al.. (2015). Reading metrics for estimating task efficiency with MT output. Research at the University of Copenhagen (University of Copenhagen). 6–13. 13 indexed citations
19.
Barrett, Maria & Anders Søgaard. (2015). Using reading behavior to predict grammatical functions. Research at the University of Copenhagen (University of Copenhagen). 1–5. 15 indexed citations
20.
Barrett, Maria, et al.. (2008). Summary of the community profile of the northside and southside regeneration areas of Limerick City. Lenus, The Irish Health Repository (Dr Steevens Hospital Library). 1 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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