William Schuler

2.2k citations
92 papers · 1.5k · h-index 20

Impact in

Papers in

William Schuler

85 papers receiving 1.3k citations

Peers

William Schuler
Comparison fields: 5 of 75
  • Human-Computer Interaction 174
  • Developmental and Educational Psychology 364
  • Artificial Intelligence 868
  • Cognitive Neuroscience 459
  • Health Informatics 29
Replace Luis Fernando D’Haro with:
Luis Fernando D’Haro Spain
Alexis Héloir France
Olov Engwall Sweden
Stephen J. Cox United Kingdom
Matthias Wölfel Germany
Catharine Oertel Netherlands
Frank Joublin Germany
Katrin S. Lohan United Kingdom
Joakim Gustafson Sweden
Patrick Chipman United States
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Citations per field
00.5×2×4×6×7.3×
Luis Fernando D’Haro · 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2000138
3 2000120
4 200095
5 202356
6 201054
7 201952
8 201348
9
Complexity Metrics in an Incremental Right-corner Parser
201040
10 202235
11 202233
12 202233
13 201528
14 201725
15 200924
16
Memory access during incremental sentence processing causes reading time latency
201624
17 201823
18
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars
201222
19 201622
20 202121

About William Schuler

William Schuler is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Language and Linguistics and Computational Theory and Mathematics, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (59 papers), Topic Modeling (45 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 (6 papers). The work is most often cited by research in Human-Computer Interaction (174 citations), Developmental and Educational Psychology (364 citations), Artificial Intelligence (868 citations), Cognitive Neuroscience (459 citations) and Health Informatics (29 citations). William Schuler has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Marten van Schijndel, Martha Stone Palmer, Norman I. Badler, Cory Shain, Jan M. Allbeck, Lane Schwartz, Rama Bindiganavale, Evelina G. Fedorenko, Idan Blank and Tim Miller. 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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