William Schuler

2.1k citations
86 papers · 1.1k · h-index 19

Impact in

Papers in

William Schuler

80 papers receiving 966 citations

Peers

William Schuler
Comparison fields: 5 of 73
  • Artificial Intelligence 697
  • Health Informatics 29
  • Cognitive Neuroscience 399
  • Developmental and Educational Psychology 239
  • Language and Linguistics 81
Replace Vikram Ramanarayanan with:
Vikram Ramanarayanan United States
Louis ten Bosch Netherlands
Odette Scharenborg Netherlands
Olov Engwall Sweden
Derek Harter United States
Luis Fernando D’Haro Spain
Mikio Nakano Japan
John-Paul Hosom United States
Ilker Yildirim United States
Qing Cai China
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Citations per field
00.5×3.6×
Vikram Ramanarayanan · 1×
Citations per year

Countries citing papers authored by William Schuler

Since Specialization
Citations

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

Fields of papers citing papers by William Schuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019125
2 200082
3 201050
4 202346
5 201344
6 201941
7
Complexity Metrics in an Incremental Right-Corner Parser
201038
8 202231
9 202227
10 201526
11
Memory access during incremental sentence processing causes reading time latency
201624
12 201724
13 201622
14 200922
15
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars
201220
16 202220
17 202119
18 201819
19
Incremental Syntactic Language Models for Phrase-based Translation
201118
20 201917

About William Schuler

William Schuler is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Computational Theory and Mathematics and Language and Linguistics, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (57 papers), Topic Modeling (46 papers), Speech and dialogue systems (33 papers), Neurobiology of Language and Bilingualism (20 papers), Text Readability and Simplification (12 papers), Reading and Literacy Development (8 papers), semigroups and automata theory (6 papers) and Syntax, Semantics, Linguistic Variation (5 papers). The work is most often cited by research in Artificial Intelligence (697 citations), Health Informatics (29 citations), Cognitive Neuroscience (399 citations), Developmental and Educational Psychology (239 citations) and Language and Linguistics (81 citations). William Schuler has collaborated with scholars based in United States, Italy and Egypt. Frequent co-authors include Marten van Schijndel, Cory Shain, Lane Schwartz, Evelina Fedorenko, Idan Blank, Tim Miller, Martha Palmer, Jan M. Allbeck, Norman I. Badler and Aravind K. Joshi. Their work appears in journals such as Cognitive Science, Computational Linguistics, Transactions of the Association for Computational Linguistics, Cognition and Medical Teacher.

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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