Marten van Schijndel

949 total citations
27 papers, 487 citations indexed

About

Marten van Schijndel is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Marten van Schijndel has authored 27 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 7 papers in Developmental and Educational Psychology. Recurrent topics in Marten van Schijndel's work include Topic Modeling (12 papers), Neurobiology of Language and Bilingualism (12 papers) and Natural Language Processing Techniques (12 papers). Marten van Schijndel is often cited by papers focused on Topic Modeling (12 papers), Neurobiology of Language and Bilingualism (12 papers) and Natural Language Processing Techniques (12 papers). Marten van Schijndel collaborates with scholars based in United States, India and Germany. Marten van Schijndel's co-authors include William Schuler, Tal Linzen, Cory Shain, Idan Blank, Evelina Fedorenko, Aaron Mueller, Luan Viet Nguyen, Vera Demberg, Michael White and Richard Futrell and has published in prestigious journals such as Cognition, Neuropsychologia and Frontiers in Psychology.

In The Last Decade

Marten van Schijndel

25 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marten van Schijndel United States 12 291 283 146 56 53 27 487
Cory Shain United States 13 205 0.7× 287 1.0× 170 1.2× 33 0.6× 50 0.9× 25 449
Klinton Bicknell United States 11 315 1.1× 490 1.7× 380 2.6× 82 1.5× 196 3.7× 32 736
Daniel Yarlett United States 4 133 0.5× 135 0.5× 191 1.3× 58 1.0× 100 1.9× 9 336
Jon Willits United States 10 146 0.5× 165 0.6× 162 1.1× 22 0.4× 101 1.9× 20 419
Dušica Filipović Đurđević Serbia 6 178 0.6× 325 1.1× 320 2.2× 100 1.8× 171 3.2× 25 536
Pauli Brattico Finland 11 117 0.4× 136 0.5× 61 0.4× 163 2.9× 89 1.7× 38 318
Alberto Simões Portugal 9 208 0.7× 160 0.6× 137 0.9× 85 1.5× 145 2.7× 74 482
Alexander Geyken Germany 9 160 0.5× 210 0.7× 250 1.7× 94 1.7× 92 1.7× 37 501
Jennifer Balogh United States 6 146 0.5× 262 0.9× 216 1.5× 35 0.6× 52 1.0× 10 442
Nichol Castro United States 12 131 0.5× 240 0.8× 110 0.8× 14 0.3× 112 2.1× 34 377

Countries citing papers authored by Marten van Schijndel

Since Specialization
Citations

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

Fields of papers citing papers by Marten van Schijndel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marten van Schijndel. 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 Marten van Schijndel. The network helps show where Marten van Schijndel may publish in the future.

Co-authorship network of co-authors of Marten van Schijndel

This figure shows the co-authorship network connecting the top 25 collaborators of Marten van Schijndel. A scholar is included among the top collaborators of Marten van Schijndel 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 Marten van Schijndel. Marten van Schijndel 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
1.
Matthews, Jacob, John M. Starr, & Marten van Schijndel. (2024). Semantics or spelling? Probing contextual word embeddings with orthographic noise. 4495–4504.
2.
Schijndel, Marten van, et al.. (2023). Linguistic Compression in Single-Sentence Human-Written Summaries. 7922–7935.
3.
Schijndel, Marten van, et al.. (2021). All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4527–4546. 32 indexed citations
4.
Schijndel, Marten van & Tal Linzen. (2021). Single‐Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty. Cognitive Science. 45(6). e12988–e12988. 36 indexed citations
5.
Schijndel, Marten van, et al.. (2020). Interaction with Context During Recurrent Neural Network Sentence Processing. PsyArXiv (OSF Preprints). 2 indexed citations
6.
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
7.
Schijndel, Marten van & Tal Linzen. (2018). Modeling garden path effects without explicit hierarchical syntax.. Cognitive Science. 23 indexed citations
8.
Shain, Cory, Richard Futrell, Marten van Schijndel, et al.. (2018). Evidence of semantic processing difficulty in naturalistic reading. OSF Preprints (OSF Preprints). 1 indexed citations
9.
Schijndel, Marten van & William Schuler. (2017). Approximations of Predictive Entropy Correlate with Reading Times.. Cognitive Science. 5 indexed citations
10.
Schijndel, Marten van. (2017). The Influence of Syntactic Frequencies on Human Sentence Processing. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
11.
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
12.
Schijndel, Marten van & William Schuler. (2016). Addressing surprisal deficiencies in reading time models.. International Conference on Computational Linguistics. 32–37. 3 indexed citations
13.
Schijndel, Marten van, et al.. (2016). Investigating locality effects and surprisal in written English syntactic choice phenomena. Cognition. 155. 204–232. 22 indexed citations
14.
Schijndel, Marten van, et al.. (2016). Salience and Attention in Surprisal-Based Accounts of Language Processing. Frontiers in Psychology. 7. 844–844. 32 indexed citations
15.
Schijndel, Marten van, Brian Murphy, & William Schuler. (2015). Evidence of syntactic working memory usage in MEG data. 79–88. 6 indexed citations
16.
Schijndel, Marten van, William Schuler, & Peter W. Culicover. (2014). Frequency Effects in the Processing of Unbounded Dependencies. Cognitive Science. 36(36). 10 indexed citations
17.
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
18.
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
19.
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
20.
Schijndel, Marten van, et al.. (1998). Evaluating Quality of Spoken Dialogue Systems: Comparing a Technology-focused and a User-focused Approach. Language Resources and Evaluation. 655–662. 6 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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