Suzanne Stevenson

3.4k citations
118 papers · 2.0k · h-index 23

Impact in

Papers in

Suzanne Stevenson

114 papers receiving 1.8k citations

Peers

Suzanne Stevenson
Comparison fields: 5 of 93
  • Artificial Intelligence 1.4k
  • Developmental and Educational Psychology 368
  • Language and Linguistics 255
  • Cultural Studies 141
  • Experimental and Cognitive Psychology 177
Replace William D. Lewis with:
William D. Lewis United States
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Vera Demberg Germany
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Citations per field
00.5×3.4×
William D. Lewis · 1×
Citations per year

Countries citing papers authored by Suzanne Stevenson

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Stevenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suzanne Stevenson, 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 Suzanne Stevenson Line = papers co-authored together Suzanne Stevenson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 2001144
3 2010117
4 2009114
5 200996
6
Negative feedback control model of proximal convergence and accommodation.
199288
7 200881
8 199468
9
AUTOMATICALLY CONSTRUCTING A LEXICON OF VERB PHRASE IDIOMATIC COMBINATIONS
200665
10 200663
11 200750
12
Unsupervised Semantic Role Labellin.
200447
13 200541
14
Proceedings of the Thirteenth Conference on Computational Natural Language Learning
200939
15 201636
16 200435
17 201034
18 199834
19 200732
20 200828

About Suzanne Stevenson

Suzanne Stevenson is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Cultural Studies, Experimental and Cognitive Psychology and Language and Linguistics, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (65 papers), Topic Modeling (52 papers), Speech and dialogue systems (38 papers), Language Development and Disorders (18 papers), Language and cultural evolution (15 papers), Language, Metaphor, and Cognition (11 papers), Reading and Literacy Development (9 papers) and Categorization, perception, and language (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Developmental and Educational Psychology (368 citations), Language and Linguistics (255 citations), Cultural Studies (141 citations) and Experimental and Cognitive Psychology (177 citations). Suzanne Stevenson has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Afsaneh Fazly, Paul Cook, Afra Alishahi, Paola Merlo, Xavier Carreras, Eric Joanis, Lluı́s Màrquez, Kenneth C. Litkowski, Christopher Parisien and J. Alexander. Their work appears in journals such as Cognitive Science, Computational Linguistics, Language Resources and Evaluation, Journal of Vision and Linguistic Inquiry.

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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