Susan M. Garnsey

4.5k citations
37 papers · 2.8k indexed · 1 hit paper · h-index 21

Susan M. Garnsey

37 papers receiving 2.5k citations

Hit Papers

Semantic Influences On Parsing: Use of Thematic Role Info...7601994202620042015250500750

Peers

Susan M. Garnsey
Comparison fields: 5 of 77
  • Developmental and Educational Psychology 1.6k
  • Cognitive Neuroscience 2.1k
  • Language and Linguistics 827
  • Experimental and Cognitive Psychology 755
  • Artificial Intelligence 710
Replace Doris Aaronson with:
Doris Aaronson United States
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Susan M. Garnsey relative to Doris Aaronson United States Doris Aaronson's profile →
Citations per field
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Doris Aaronson · 1×
Citations per year

Countries citing papers authored by Susan M. Garnsey

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Garnsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Garnsey. 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 Susan M. Garnsey. The network helps show where Susan M. Garnsey may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Susan M. Garnsey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susan M. Garnsey Line = papers co-authored together Susan M. Garnsey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 201810
3 201821
4
An ERP study of syntactic anomaly processing in Mandarin sentences.
20151
5 20129
6 201072
7 200952
8 200775
9
That Sounds Unlikely: Syntactic Probabilities Affect Pronunciation
20065
10 200624
11 200595
12 20047
13 2004146
14 1999254
15
Semantic Influences On Parsing: Use of Thematic Role Information in Syntactic Ambiguity Resolutionbreakdown →
1994760
16
Event-related brain potentials in the study of language
19931
17 199135
18 198956
19 1989142
20 198913

About Susan M. Garnsey

Susan M. Garnsey is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (22 papers), Reading and Literacy Development (13 papers), Second Language Acquisition and Learning (9 papers), Phonetics and Phonology Research (7 papers), Language Development and Disorders (5 papers), Human-Automation Interaction and Safety (4 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Multisensory perception and integration (3 papers). The work is most often cited by research in Developmental and Educational Psychology (1.6k citations), Cognitive Neuroscience (2.1k citations) and Language and Linguistics (827 citations). Susan M. Garnsey has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include Michael K. Tanenhaus, John C. Trueswell, Neal J. Pearlmutter, Kathryn Bock, Elizabeth Myers, Julie E. Boland, Susanne Gahl, Greg N. Carlson, Robert M. Chapman and Gary S. Dell. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cognition.

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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