Kathleen Fraser

2.0k total citations · 1 hit paper
61 papers, 1.2k citations indexed

About

Kathleen Fraser is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Kathleen Fraser has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Kathleen Fraser's work include Topic Modeling (16 papers), Natural Language Processing Techniques (11 papers) and Neurobiology of Language and Bilingualism (8 papers). Kathleen Fraser is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (11 papers) and Neurobiology of Language and Bilingualism (8 papers). Kathleen Fraser collaborates with scholars based in Canada, Sweden and United States. Kathleen Fraser's co-authors include Frank Rudzicz, Jed A. Meltzer, Elizabeth Rochon, Dimitrios Kokkinakis, Graeme Hirst, Naida L. Graham, Carol Léonard, Svetlana Kiritchenko, Isar Nejadgholi and Maria Yancheva and has published in prestigious journals such as PLoS ONE, Journal of Alzheimer s Disease and Cortex.

In The Last Decade

Kathleen Fraser

49 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Linguistic Features Identify Alzheimer’s Disease in Narrative Speech

2015 451 citations Kathleen Fraser, Jed A. Meltzer et al. profile →

Peers

Kathleen Fraser

AI

CN

PMH

DEP

ECP

Veronika Vincze Hungary

William Jarrold United States

Davida Fromm United States

Juan José García Meilán Spain

Kristy Hollingshead United States

Daniel Bone United States

Amit Almor United States

Gordoń Wood United States

Chi‐Shing Tse Hong Kong

Augusto Buchweitz Brazil

Veronika Vincze Hungary

Kathleen Fraser

1.2k ×2.2

AI

282 ×0.6

CN

282 ×0.7

PMH

103 ×0.6

DEP

121 ×0.7

ECP

Citations per year, relative to Kathleen Fraser Kathleen Fraser (= 1×) peers Veronika Vincze

Countries citing papers authored by Kathleen Fraser

Since Specialization

Citations

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

Fields of papers citing papers by Kathleen Fraser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Fraser

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fraser, Kathleen, et al.. (2025). When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. NPARC. 13494–13527.

2.

Fraser, Kathleen, Svetlana Kiritchenko, & Isar Nejadgholi. (2024). How Does Stereotype Content Differ across Data Sources?. 18–34. 1 indexed citations

3.

Wallace, Bruce, et al.. (2024). A Cost-Effective Webcam Eye-Tracking Algorithm for Robust Classification of Fixations and Saccades. NPARC. 1–6. 1 indexed citations

4.

Kunz, Manuela, Kathleen Fraser, Bruce Wallace, et al.. (2023). Reducing Fixation Error Due to Natural Head Movement in a Webcam-Based Eye-Tracking Method. NPARC. 1–6. 4 indexed citations

5.

Wallace, Bruce, Kathleen Fraser, Manuela Kunz, et al.. (2023). Design and Validation of a System to Synchronize Speech Recognition and Eye-Tracking Measurements. NPARC. 1–6. 3 indexed citations

6.

Nejadgholi, Isar, et al.. (2022). Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. 225–237. 2 indexed citations

7.

Fraser, Kathleen, Svetlana Kiritchenko, & Isar Nejadgholi. (2022). Computational Modeling of Stereotype Content in Text. Frontiers in Artificial Intelligence. 5. 826207–826207. 8 indexed citations

8.

Nejadgholi, Isar, et al.. (2022). Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2672–2686. 13 indexed citations

9.

Kiritchenko, Svetlana, et al.. (2022). Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models. 80–92. 20 indexed citations

10.

Nejadgholi, Isar, Kathleen Fraser, & Berry de Bruijn. (2020). Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. NPARC. 177–186. 10 indexed citations

11.

Komeili, Majid, et al.. (2019). Talk2Me: Automated linguistic data collection for personal assessment. PLoS ONE. 14(3). e0212342–e0212342. 14 indexed citations

12.

Fraser, Kathleen, et al.. (2019). Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers. Frontiers in Aging Neuroscience. 11. 205–205. 71 indexed citations

13.

Kokkinakis, Dimitrios, et al.. (2018). A Swedish Cookie-Theft Corpus. Language Resources and Evaluation. 2 indexed citations

14.

Marcotte, Karine, Naida L. Graham, Kathleen Fraser, et al.. (2017). White Matter Disruption and Connected Speech in Non-Fluent and Semantic Variants of Primary Progressive Aphasia. Dementia and Geriatric Cognitive Disorders Extra. 7(1). 52–73. 32 indexed citations

15.

Fraser, Kathleen & Graeme Hirst. (2016). Detecting semantic changes in Alzheimer’s disease with vector space models. Language Resources and Evaluation. 8 indexed citations

16.

Fraser, Kathleen, Graeme Hirst, Jed A. Meltzer, Jennifer E. Mack, & Cynthia K. Thompson. (2014). Using statistical parsing to detect agrammatic aphasia. 134–142. 8 indexed citations

17.

Fraser, Kathleen, Jed A. Meltzer, Naida L. Graham, et al.. (2012). Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. Cortex. 55. 43–60. 163 indexed citations

18.

Fraser, Kathleen, et al.. (2001). Mood disorders: drug treatment of depression. Pharmaceutical journal/The pharmaceutical journal. 266(7141). 3 indexed citations

19.

Fraser, Kathleen. (1993). When new time folds up. Medical Entomology and Zoology.

20.

Fraser, Kathleen. (1987). Cheryl MacDonald. Emma Albani: Victorian Diva. Theatre Research in Canada. 8(1). 122–123. 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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