Will Styler

14 papers receiving 299 citations

Peers

Will Styler
Comparison fields: 5 of 47
  • Linguistics and Language 146
  • Experimental and Cognitive Psychology 188
  • Artificial Intelligence 184
  • Language and Linguistics 58
  • Signal Processing 28
Replace Sameer ud Dowla Khan with:
Sameer ud Dowla Khan United States
Jonathan P. Evans Taiwan
Daniel Pape Germany
Sasha Calhoun New Zealand
Anne‐Michelle Tessier Canada
Eric Zee Hong Kong
Anthony Fox United Kingdom
Christian DiCanio United States
Charlotte Galves Brazil
Karen Jesney United States
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Citations per year

Countries citing papers authored by Will Styler

Since Specialization
Citations

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

Fields of papers citing papers by Will Styler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Will Styler, 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 Will Styler Line = papers co-authored together Will Styler links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201761
2 201752
3
Towards temporal relation discovery from the clinical narrative.
200945
4 201841
5
Anafora: A Web-based General Purpose Annotation Tool.
201333
6
On the Acoustical and Perceptual Features of Vowel Nasality
201520
7 201419
8 202018
9 201815
10 20227
11 20226
12 20142
13 20181
14 20161
15 20171

About Will Styler

Will Styler is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology, Artificial Intelligence, Language and Linguistics and Molecular Biology, having authored 15 papers that have together received 322 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (8 papers), Linguistic Variation and Morphology (8 papers), Syntax, Semantics, Linguistic Variation (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Marine animal studies overview (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Linguistics and Language (146 citations), Experimental and Cognitive Psychology (188 citations), Artificial Intelligence (184 citations), Language and Linguistics (58 citations) and Signal Processing (28 citations). Will Styler has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Patrice Speeter Beddor, Andries W. Coetzee, Daan Wissing, Kerby Shedden, Martha Palmer, Jelena Krivokapić, Julie E. Boland, Kevin B. McGowan, Benjamin Parrell and Wayne Ward. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Phonetics, Language, Laboratory Phonology Journal of the Association for Laboratory Phonology and CU Scholar (University of Colorado Boulder).

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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