Matthew W. Crocker

5.0k total citations
105 papers, 2.5k citations indexed

About

Matthew W. Crocker is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew W. Crocker has authored 105 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 54 papers in Artificial Intelligence and 40 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew W. Crocker's work include Neurobiology of Language and Bilingualism (61 papers), Language, Metaphor, and Cognition (32 papers) and Natural Language Processing Techniques (29 papers). Matthew W. Crocker is often cited by papers focused on Neurobiology of Language and Bilingualism (61 papers), Language, Metaphor, and Cognition (32 papers) and Natural Language Processing Techniques (29 papers). Matthew W. Crocker collaborates with scholars based in Germany, United Kingdom and United States. Matthew W. Crocker's co-authors include Pia Knoeferle, Harm Brouwer, Martin J. Pickering, Maria Staudte, Francesca Delogu, Christoph Scheepers, Noortje J. Venhuizen, Patrick Sturt, John Hoeks and Andréa Weber and has published in prestigious journals such as PLoS ONE, Brain Research and Cerebral Cortex.

In The Last Decade

Matthew W. Crocker

92 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew W. Crocker Germany 27 1.8k 1.0k 962 748 486 105 2.5k
Yuki Kamide United Kingdom 13 2.2k 1.2× 1.4k 1.3× 1.3k 1.4× 602 0.8× 542 1.1× 20 2.8k
Michael J. Spivey-Knowlton United States 10 2.0k 1.1× 1.3k 1.2× 1.2k 1.3× 864 1.2× 589 1.2× 13 2.9k
Zenzi M. Griffin United States 18 1.8k 1.0× 1.6k 1.5× 794 0.8× 448 0.6× 707 1.5× 32 2.6k
Kathleen M. Eberhard United States 16 2.3k 1.3× 1.7k 1.6× 1.4k 1.4× 846 1.1× 821 1.7× 30 3.5k
Julie Sedivy United States 15 2.4k 1.3× 1.7k 1.6× 1.7k 1.8× 957 1.3× 732 1.5× 26 3.7k
Patrick Sturt United Kingdom 28 1.7k 0.9× 1.2k 1.2× 669 0.7× 695 0.9× 662 1.4× 90 2.4k
Matthew J. Traxler United States 36 3.1k 1.7× 2.4k 2.3× 1.0k 1.1× 837 1.1× 903 1.9× 81 3.8k
Paweł Mandera Belgium 14 1.2k 0.7× 1.2k 1.1× 716 0.7× 775 1.0× 233 0.5× 22 2.3k
Adrian Staub United States 28 2.1k 1.2× 1.4k 1.3× 592 0.6× 662 0.9× 277 0.6× 71 2.6k
John Hale United States 22 1.7k 0.9× 990 0.9× 358 0.4× 1.4k 1.8× 416 0.9× 52 2.6k

Countries citing papers authored by Matthew W. Crocker

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Crocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew W. Crocker. 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 Matthew W. Crocker. The network helps show where Matthew W. Crocker may publish in the future.

Co-authorship network of co-authors of Matthew W. Crocker

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Crocker. A scholar is included among the top collaborators of Matthew W. Crocker 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 Matthew W. Crocker. Matthew W. Crocker 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.
Brouwer, Harm, et al.. (2025). On the limits of LLM surprisal as a functional explanation of the N400 and P600. Brain Research. 1865. 149841–149841.
2.
Delogu, Francesca, et al.. (2025). On the biphasic nature of the N400-P600 complex underlying language comprehension. Brain and Cognition. 186. 106293–106293. 2 indexed citations
3.
Miller, Mark D., et al.. (2024). Optimal Use Cases for Electric and Hybrid Tactical Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations
4.
Brouwer, Harm, Francesca Delogu, & Matthew W. Crocker. (2020). Splitting event‐related potentials: Modeling latent components using regression‐based waveform estimation. European Journal of Neuroscience. 53(4). 974–995. 8 indexed citations
5.
Drenhaus, Heiner, et al.. (2017). Information density of encodings: The role of syntactic variation in comprehension.. Cognitive Science. 6 indexed citations
6.
Gambi, Chiara & Matthew W. Crocker. (2017). How do speakers coordinate planning and articulation? Evidence from gaze-speech lags. Cognitive Science.
7.
Koller, Alexander, et al.. (2012). Enhancing Referential Success by Tracking Hearer Gaze. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 30–39. 18 indexed citations
8.
Staudte, Maria, et al.. (2012). Using listener gaze to augment speech generation in a virtual 3D environment. Cognitive Science. 34(34). 7 indexed citations
9.
Crocker, Matthew W., et al.. (2011). The Interplay of Multiple Mechanisms in Word Learning. Cognitive Science. 33(33). 5 indexed citations
10.
Farkaš, Igor, et al.. (2011). Modeling Utterance-mediated Attention in Situated Language Comprehension. Cognitive Science. 33(33).
11.
Crocker, Matthew W., et al.. (2010). Sentence Processing Mechanisms Influence Cross-Situational Word Learning. eScholarship (California Digital Library). 32(32). 4 indexed citations
12.
Crocker, Matthew W. & Maria Staudte. (2009). The effect of robot gaze on processing robot utterances. eScholarship (California Digital Library). 31(31). 14 indexed citations
13.
Farkaš, Igor & Matthew W. Crocker. (2007). Systematicity in sentence processing with a recursive self-organizing neural network. The European Symposium on Artificial Neural Networks. 46(3). 49–54. 2 indexed citations
14.
Crocker, Matthew W. & Igor Farkaš. (2006). Recurrent Networks and Natural Language: Exploiting Self-organization. eScholarship (California Digital Library). 28(28). 4 indexed citations
15.
Crocker, Matthew W., et al.. (2006). A Connectionist Model of the Coordinated Interplay of Scene, Utterance, and World Knowledge. Conference Cognitive Science. 28(28). 572–38. 5 indexed citations
16.
Padó, Ulrike, Matthew W. Crocker, & Frank Keller. (2006). Modelling Semantic Role Pausibility in Human Sentence Processing.. Conference of the European Chapter of the Association for Computational Linguistics. 5 indexed citations
17.
Crocker, Matthew W., et al.. (2005). A Connectionist Model of Sentence Comprehension in Visual Worlds. eScholarship (California Digital Library). 27(27). 1442. 4 indexed citations
18.
Crocker, Matthew W., et al.. (2004). Generating Semantic Graphs through Self-Organization.. National Conference on Artificial Intelligence. 44–49. 3 indexed citations
19.
Knoeferle, Pia, Matthew W. Crocker, Christoph Scheepers, & Martin J. Pickering. (2003). Actions and roles: Using depicted events for disambiguation and reinterpretation in German and English. eScholarship (California Digital Library). 25(25). 686. 2 indexed citations
20.
Crocker, Matthew W.. (1991). Multiple Meta-Interpreters in a Logical Model of Sentence Processing.. 91(12). 127–145. 3 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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