Sarah Brown‐Schmidt

4.5k total citations
92 papers, 2.5k citations indexed

About

Sarah Brown‐Schmidt is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sarah Brown‐Schmidt has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cognitive Neuroscience, 41 papers in Artificial Intelligence and 40 papers in Experimental and Cognitive Psychology. Recurrent topics in Sarah Brown‐Schmidt's work include Neurobiology of Language and Bilingualism (42 papers), Speech and dialogue systems (35 papers) and Language, Metaphor, and Cognition (30 papers). Sarah Brown‐Schmidt is often cited by papers focused on Neurobiology of Language and Bilingualism (42 papers), Speech and dialogue systems (35 papers) and Language, Metaphor, and Cognition (30 papers). Sarah Brown‐Schmidt collaborates with scholars based in United States, Netherlands and South Korea. Sarah Brown‐Schmidt's co-authors include Michael K. Tanenhaus, Melissa C. Duff, Si On Yoon, Agnieszka E. Konopka, Rachel Ryskin, John C. Trueswell, Christine Gunlogson, Aaron S. Benjamin, Enriqueta Canseco-Gonzalez and Jennifer E. Arnold and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Sarah Brown‐Schmidt

87 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Brown‐Schmidt United States 29 1.4k 1.1k 1.0k 803 600 92 2.5k
Martin Corley United Kingdom 27 1.6k 1.1× 911 0.8× 1.2k 1.2× 594 0.7× 617 1.0× 72 2.6k
Michael Ramscar Germany 26 1.2k 0.8× 1.2k 1.1× 1.4k 1.3× 775 1.0× 504 0.8× 91 3.0k
Paweł Mandera Belgium 14 1.2k 0.8× 716 0.6× 1.2k 1.1× 775 1.0× 233 0.4× 22 2.3k
Janet F. McLean United Kingdom 19 1.0k 0.7× 521 0.5× 1.2k 1.1× 435 0.5× 482 0.8× 43 2.0k
Emmanuel Keuleers Belgium 25 2.7k 1.9× 1.4k 1.2× 2.5k 2.4× 1.4k 1.7× 410 0.7× 44 4.6k
Petar Milin United Kingdom 14 1.1k 0.8× 599 0.5× 936 0.9× 445 0.6× 304 0.5× 57 1.8k
Kiel Christianson United States 25 1.8k 1.2× 564 0.5× 1.5k 1.4× 493 0.6× 482 0.8× 76 2.4k
Matthias Schlesewsky Germany 35 3.3k 2.3× 1.1k 1.0× 2.0k 1.9× 357 0.4× 617 1.0× 103 4.1k
Matthew J. Traxler United States 36 3.1k 2.1× 1.0k 0.9× 2.4k 2.3× 837 1.0× 903 1.5× 81 3.8k
Jesse Snedeker United States 32 1.8k 1.2× 946 0.9× 2.1k 2.0× 515 0.6× 865 1.4× 109 3.2k

Countries citing papers authored by Sarah Brown‐Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Brown‐Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Brown‐Schmidt. 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 Sarah Brown‐Schmidt. The network helps show where Sarah Brown‐Schmidt may publish in the future.

Co-authorship network of co-authors of Sarah Brown‐Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Brown‐Schmidt. A scholar is included among the top collaborators of Sarah Brown‐Schmidt 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 Sarah Brown‐Schmidt. Sarah Brown‐Schmidt 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.
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Duff, Melissa C., et al.. (2024). Temporary ambiguity and memory for the context of spoken language in adults with moderate-severe traumatic brain injury. Brain and Language. 257. 105471–105471. 1 indexed citations
3.
Diachek, Evgeniia & Sarah Brown‐Schmidt. (2024). Linguistic features of spontaneous speech predict conversational recall. Psychonomic Bulletin & Review. 31(4). 1638–1649. 1 indexed citations
4.
Brown‐Schmidt, Sarah, et al.. (2024). Remembering conversation in group settings. Memory & Cognition. 53(4). 1037–1054.
5.
Brown‐Schmidt, Sarah, et al.. (2024). Comprehension of Miranda warnings in adults with chronic, moderate-severe traumatic brain injury. Journal of Communication Disorders. 111. 106452–106452.
6.
Yoon, Si On & Sarah Brown‐Schmidt. (2024). Partner‐Specific Adaptation in Disfluency Processing. Cognitive Science. 48(8). e13490–e13490. 1 indexed citations
7.
Brown‐Schmidt, Sarah, et al.. (2023). MEMCONS: How Contemporaneous Note‐Taking Shapes Memory for Conversation. Cognitive Science. 47(4). e13271–e13271. 4 indexed citations
8.
Yoon, Si On, Melissa C. Duff, & Sarah Brown‐Schmidt. (2023). Keeping track of who knows what in multiparty conversation despite severe memory impairment. Neuropsychologia. 194. 108780–108780. 1 indexed citations
9.
Yoon, Si On, et al.. (2023). Alcohol and common ground: The effects of intoxication on linguistic markers of shared understanding during social exchange.. Psychology of Addictive Behaviors. 38(1). 79–91. 4 indexed citations
10.
Brown‐Schmidt, Sarah, et al.. (2020). #foodie: Implications of interacting with social media for memory. Cognitive Research Principles and Implications. 5(1). 16–16. 11 indexed citations
11.
Ryskin, Rachel, Chigusa Kurumada, & Sarah Brown‐Schmidt. (2019). Information Integration in Modulation of Pragmatic Inferences During Online Language Comprehension. Cognitive Science. 43(8). e12769–e12769. 22 indexed citations
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Ryskin, Rachel, Zhenghan Qi, Melissa C. Duff, & Sarah Brown‐Schmidt. (2016). Verb biases are shaped through lifelong learning.. Journal of Experimental Psychology Learning Memory and Cognition. 43(5). 781–794. 31 indexed citations
14.
Ryskin, Rachel, Aaron S. Benjamin, Jonathan G. Tullis, & Sarah Brown‐Schmidt. (2015). Perspective-taking in comprehension, production, and memory: An individual differences approach.. Journal of Experimental Psychology General. 144(5). 898–915. 56 indexed citations
15.
Lee, Eun Kyung, Sarah Brown‐Schmidt, & Duáne G. Watson. (2013). Ways of looking ahead: Hierarchical planning in language production. Cognition. 129(3). 544–562. 41 indexed citations
16.
Duff, Melissa C. & Sarah Brown‐Schmidt. (2012). The hippocampus and the flexible use and processing of language. Frontiers in Human Neuroscience. 6. 69–69. 185 indexed citations
17.
Brown‐Schmidt, Sarah. (2009). Partner-specific interpretation of maintained referential precedents during interactive dialog. Journal of Memory and Language. 61(2). 171–190. 122 indexed citations
18.
Brown‐Schmidt, Sarah. (2009). The role of executive function in perspective taking during online language comprehension. Psychonomic Bulletin & Review. 16(5). 893–900. 187 indexed citations
19.
Brown‐Schmidt, Sarah, Christine Gunlogson, & Michael K. Tanenhaus. (2008). Addressees distinguish shared from private information when interpreting questions during interactive conversation. Cognition. 107(3). 1122–1134. 125 indexed citations
20.
Hurewitz, Felicia, Sarah Brown‐Schmidt, Kirsten Thorpe, Lila R. Gleitman, & John C. Trueswell. (2000). One Frog, Two Frog, Red Frog, Blue Frog: Factors Affecting Children's Syntactic Choices in Production and Comprehension. Journal of Psycholinguistic Research. 29(6). 597–626. 91 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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