William Schuler

2.1k total citations
86 papers, 1.1k citations indexed

About

William Schuler is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, William Schuler has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 21 papers in Cognitive Neuroscience and 11 papers in Developmental and Educational Psychology. Recurrent topics in William Schuler's work include Natural Language Processing Techniques (57 papers), Topic Modeling (46 papers) and Speech and dialogue systems (33 papers). William Schuler is often cited by papers focused on Natural Language Processing Techniques (57 papers), Topic Modeling (46 papers) and Speech and dialogue systems (33 papers). William Schuler collaborates with scholars based in United States, Italy and Egypt. William Schuler's 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 and has published in prestigious journals such as Journal of Neuroscience, Cognition and Neuropsychologia.

In The Last Decade

William Schuler

80 papers receiving 966 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Schuler United States 19 697 399 239 87 81 86 1.1k
Qing Cai China 7 275 0.4× 401 1.0× 340 1.4× 99 1.1× 38 0.5× 15 792
Louis ten Bosch Netherlands 17 657 0.9× 161 0.4× 171 0.7× 38 0.4× 105 1.3× 144 1.0k
Björn Granström Sweden 21 658 0.9× 185 0.5× 119 0.5× 121 1.4× 120 1.5× 113 1.2k
Jürgen Trouvain Germany 17 471 0.7× 193 0.5× 72 0.3× 52 0.6× 153 1.9× 76 923
Igor Farkaš Slovakia 12 234 0.3× 162 0.4× 107 0.4× 43 0.5× 10 0.1× 37 466
Vikram Ramanarayanan United States 15 449 0.6× 143 0.4× 78 0.3× 48 0.6× 74 0.9× 87 891
Jiahong Yuan United States 20 893 1.3× 195 0.5× 122 0.5× 117 1.3× 164 2.0× 83 1.5k
Morgan Sonderegger Canada 17 817 1.2× 139 0.3× 115 0.5× 55 0.6× 176 2.2× 53 1.4k
Odette Scharenborg Netherlands 22 641 0.9× 407 1.0× 138 0.6× 102 1.2× 49 0.6× 115 1.3k
Hosung Nam United States 21 570 0.8× 167 0.4× 245 1.0× 23 0.3× 123 1.5× 76 1.1k

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-authorship network of co-authors of William Schuler

This figure shows the co-authorship network connecting the top 25 collaborators of William Schuler. A scholar is included among the top collaborators of William Schuler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Schuler. William Schuler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
4.
Schuler, William, et al.. (2020). Grounded PCFG Induction with Images. 396–408. 10 indexed citations
5.
Doshi‐Velez, Finale, et al.. (2019). Unsupervised Learning of PCFGs with Normalizing Flow. 2442–2452. 17 indexed citations
6.
Zimmerman, Laura, Bruce A. Wilcox, Beth W. Liston, et al.. (2019). Using virtual standardized patients to accurately assess information gathering skills in medical students. Medical Teacher. 41(9). 1053–1059. 41 indexed citations
7.
Shain, Cory, Idan Blank, Marten van Schijndel, William Schuler, & Evelina Fedorenko. (2019). fMRI reveals language-specific predictive coding during naturalistic sentence comprehension. Neuropsychologia. 138. 107307–107307. 125 indexed citations
8.
Shain, Cory, Marten van Schijndel, Richard Futrell, Edward Gibson, & William Schuler. (2016). Memory access during incremental sentence processing causes reading time latency. International Conference on Computational Linguistics. 49–58. 24 indexed citations
9.
Schijndel, Marten van & William Schuler. (2016). Addressing surprisal deficiencies in reading time models.. International Conference on Computational Linguistics. 32–37. 3 indexed citations
10.
Schijndel, Marten van, William Schuler, & Peter W. Culicover. (2014). Frequency Effects in the Processing of Unbounded Dependencies. Cognitive Science. 36(36). 10 indexed citations
11.
Schijndel, Marten van & William Schuler. (2013). An Analysis of Frequency- and Memory-Based Processing Costs. North American Chapter of the Association for Computational Linguistics. 95–105. 16 indexed citations
12.
Nguyen, Luan Viet, Marten van Schijndel, & William Schuler. (2012). Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. International Conference on Computational Linguistics. 2125–2140. 20 indexed citations
13.
Schijndel, Marten van, et al.. (2012). Connectionist-Inspired Incremental PCFG Parsing. North American Chapter of the Association for Computational Linguistics. 51–60. 4 indexed citations
14.
Schuler, William. (2011). Effects of Filler-gap Dependencies Working Memory Requirements for Parsing. Cognitive Science. 33(33). 1 indexed citations
15.
Schuler, William & Aravind K. Joshi. (2011). Tree-Rewriting Models of Multi-Word Expressions. Meeting of the Association for Computational Linguistics. 25–30. 2 indexed citations
16.
Li, Dingcheng, Tim Miller, & William Schuler. (2011). A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. Meeting of the Association for Computational Linguistics. 1169–1178. 7 indexed citations
17.
Schuler, William & Timothy A. Miller. (2010). Generative models of disfluency. 27(6). 158–158. 2 indexed citations
18.
Allbeck, Jan M., Karin Kipper, Charles R. Adams, et al.. (2002). ACUMEN. 191–198. 9 indexed citations
19.
Kipper, Karin, Hoa Trang Dang, William Schuler, & Martha Palmer. (2000). Building a class-based verb lexicon using TAGs. 16 indexed citations
20.
Dras, Mark, David Chiang, & William Schuler. (2000). A multi-level TAG approach to dependency. 15(1). 33–46. 2 indexed citations

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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