Daniel Schmidtke

436 total citations
20 papers, 241 citations indexed

About

Daniel Schmidtke is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Daniel Schmidtke has authored 20 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Developmental and Educational Psychology, 11 papers in Cognitive Neuroscience and 8 papers in Artificial Intelligence. Recurrent topics in Daniel Schmidtke's work include Reading and Literacy Development (12 papers), Neurobiology of Language and Bilingualism (10 papers) and Second Language Acquisition and Learning (6 papers). Daniel Schmidtke is often cited by papers focused on Reading and Literacy Development (12 papers), Neurobiology of Language and Bilingualism (10 papers) and Second Language Acquisition and Learning (6 papers). Daniel Schmidtke collaborates with scholars based in Canada, United States and Slovenia. Daniel Schmidtke's co-authors include Victor Kuperman, Christina L. Gagné, Thomas L. Spalding, Julie A. Van Dyke, Kazunaga Matsuki, Benjamin V. Tucker, Christopher J. Hall, John F. Connolly and Elisabet Service and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuropsychologia.

In The Last Decade

Daniel Schmidtke

18 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Schmidtke Canada 10 149 114 99 68 41 20 241
Yaling Hsiao United Kingdom 11 170 1.1× 114 1.0× 61 0.6× 55 0.8× 47 1.1× 18 268
Yoonhyoung Lee South Korea 7 216 1.4× 284 2.5× 74 0.7× 88 1.3× 75 1.8× 34 350
Lyn Tieu Australia 11 204 1.4× 106 0.9× 75 0.8× 130 1.9× 206 5.0× 50 385
Sabine Laaha Austria 9 244 1.6× 87 0.8× 45 0.5× 68 1.0× 85 2.1× 18 321
Eugene J. Dawydiak United Kingdom 6 113 0.8× 151 1.3× 68 0.7× 108 1.6× 69 1.7× 7 249
Katharina Korecky‐Kröll Austria 10 210 1.4× 75 0.7× 50 0.5× 81 1.2× 111 2.7× 34 316
Martha Gibson Germany 3 138 0.9× 131 1.1× 48 0.5× 59 0.9× 45 1.1× 4 200
Itamar Kastner United States 8 141 0.9× 101 0.9× 64 0.6× 87 1.3× 116 2.8× 21 275
Francesca Foppolo Italy 7 253 1.7× 187 1.6× 64 0.6× 87 1.3× 158 3.9× 36 374
Jesse Harris United States 8 59 0.4× 75 0.7× 65 0.7× 71 1.0× 135 3.3× 30 220

Countries citing papers authored by Daniel Schmidtke

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schmidtke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schmidtke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schmidtke. A scholar is included among the top collaborators of Daniel Schmidtke 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 Daniel Schmidtke. Daniel Schmidtke 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.
Schmidtke, Daniel, Julie A. Van Dyke, & Victor Kuperman. (2024). DerLex: An eye-movement database of derived word reading in English. Behavior Research Methods. 57(1). 11–11.
2.
Schmidtke, Daniel & Victor Kuperman. (2024). A psycholinguistic study of intergroup bias and its cultural propagation. Scientific Reports. 14(1). 8613–8613. 1 indexed citations
3.
Schmidtke, Daniel, et al.. (2024). Bridging to academic success: the impact of reading gains in an English bridging program on GPAs. Reading and Writing. 38(1). 195–224.
4.
Schmidtke, Daniel, et al.. (2023). Conceptual combination during novel and existing compound word reading in context: A self-paced reading study. Memory & Cognition. 51(5). 1170–1197. 2 indexed citations
5.
Schmidtke, Daniel, et al.. (2022). Semantic richness effects in isolated spoken word recognition: Evidence from massive auditory lexical decision.. Journal of Experimental Psychology Learning Memory and Cognition. 50(4). 650–673. 2 indexed citations
6.
Schmidtke, Daniel, et al.. (2022). Morphological knowledge in English learner university students is sensitive to language statistics: A longitudinal study. Applied Psycholinguistics. 43(4). 889–919. 1 indexed citations
7.
Schmidtke, Daniel, et al.. (2022). Tracking reading development in an English language university-level bridging program: evidence from eye-movements during passage reading. Bilingualism Language and Cognition. 26(2). 356–370. 2 indexed citations
8.
Schmidtke, Daniel, Julie A. Van Dyke, & Victor Kuperman. (2020). CompLex: an eye-movement database of compound word reading in English. Behavior Research Methods. 53(1). 59–77. 12 indexed citations
9.
Schmidtke, Daniel, et al.. (2020). Determinants of Word‐Reading Development in English Learner University Students: A Longitudinal Eye Movement Study. Reading Research Quarterly. 56(4). 819–854. 11 indexed citations
10.
Schmidtke, Daniel, et al.. (2019). Electrophysiological evidence for the integral nature of tone in Mandarin spoken word recognition. Neuropsychologia. 131. 325–332. 8 indexed citations
11.
Gagné, Christina L., Thomas L. Spalding, & Daniel Schmidtke. (2019). LADEC: The Large Database of English Compounds. Behavior Research Methods. 51(5). 2152–2179. 33 indexed citations
12.
Schmidtke, Daniel, Christina L. Gagné, Victor Kuperman, & Thomas L. Spalding. (2018). Language experience shapes relational knowledge of compound words. Psychonomic Bulletin & Review. 25(4). 1468–1487. 12 indexed citations
13.
Schmidtke, Daniel & Victor Kuperman. (2018). A paradox of apparent brainless behavior: The time-course of compound word recognition. Cortex. 116. 250–267. 18 indexed citations
14.
Schmidtke, Daniel, et al.. (2018). National character stereotypes mirror language use: A study of Canadian and American tweets. PLoS ONE. 13(11). e0206188–e0206188. 11 indexed citations
15.
Schmidtke, Daniel, Christina L. Gagné, Victor Kuperman, Thomas L. Spalding, & Benjamin V. Tucker. (2018). Conceptual relations compete during auditory and visual compound word recognition. Language Cognition and Neuroscience. 33(7). 923–942. 15 indexed citations
16.
Schmidtke, Daniel, Julie A. Van Dyke, & Victor Kuperman. (2017). Individual variability in the semantic processing of English compound words.. Journal of Experimental Psychology Learning Memory and Cognition. 44(3). 421–439. 31 indexed citations
17.
Schmidtke, Daniel, Kazunaga Matsuki, & Victor Kuperman. (2017). Surviving blind decomposition: A distributional analysis of the time-course of complex word recognition.. Journal of Experimental Psychology Learning Memory and Cognition. 43(11). 1793–1820. 42 indexed citations
18.
Schmidtke, Daniel & Victor Kuperman. (2016). Mass counts in World Englishes: A corpus linguistic study of noun countability in non-native varieties of English. Corpus Linguistics and Linguistic Theory. 13(1). 8 indexed citations
19.
Schmidtke, Daniel, Victor Kuperman, Christina L. Gagné, & Thomas L. Spalding. (2015). Competition between conceptual relations affects compound recognition: the role of entropy. Psychonomic Bulletin & Review. 23(2). 556–570. 23 indexed citations
20.
Hall, Christopher J., et al.. (2013). Countability in world Englishes. World Englishes. 32(1). 1–22. 9 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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