Daniel Schmidtke

436 citations
20 papers · 241 · h-index 10

Impact in

Papers in

Daniel Schmidtke

18 papers receiving 228 citations

Peers

Daniel Schmidtke
Comparison fields: 5 of 33
  • Developmental and Educational Psychology 149
  • Cognitive Neuroscience 114
  • Experimental and Cognitive Psychology 68
  • Language and Linguistics 41
  • Linguistics and Language 17
Replace Yaling Hsiao with:
Yaling Hsiao United Kingdom
Itamar Kastner United States
Yoonhyoung Lee South Korea
Sabine Laaha Austria
Lyn Tieu Australia
Jesse Harris United States
Katharina Korecky‐Kröll Austria
Martha Gibson Germany
Eugene J. Dawydiak United Kingdom
Sylvia Yuan United States
Daniel Schmidtke relative to Yaling Hsiao United Kingdom Yaling Hsiao's profile →
Citations per field
00.5×5.2×
Yaling Hsiao · 1×
Citations per year

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-authors

The 9 scholars most cited alongside Daniel Schmidtke, 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 Daniel Schmidtke Line = papers co-authored together Daniel Schmidtke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201742
2 201933
3 201731
4 201523
5 201818
6 201815
7 201812
8 202012
9 201811
10 202011
11 20139
12 20198
13 20168
14 20232
15 20222
16 20222
17 20241
18 20221
19 20240
20 20240

About Daniel Schmidtke

Daniel Schmidtke is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology and Language and Linguistics, having authored 20 papers that have together received 241 indexed citations. Recurring topics across this work include Reading and Literacy Development (12 papers), Neurobiology of Language and Bilingualism (10 papers), Second Language Acquisition and Learning (6 papers), Text Readability and Simplification (4 papers), Natural Language Processing Techniques (2 papers), Linguistics, Language Diversity, and Identity (2 papers), Multilingual Education and Policy (2 papers) and Linguistic Variation and Morphology (2 papers). The work is most often cited by research in Developmental and Educational Psychology (149 citations), Cognitive Neuroscience (114 citations), Experimental and Cognitive Psychology (68 citations), Language and Linguistics (41 citations) and Linguistics and Language (17 citations). Daniel Schmidtke has collaborated with scholars based in Canada, United States and Serbia. Frequent co-authors include Victor Kuperman, Thomas L. Spalding, Christina L. Gagné, Julie A. Van Dyke, Kazunaga Matsuki, Benjamin V. Tucker, Christopher J. Hall, Elisabet Service and John F. Connolly. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Behavior Research Methods, Psychonomic Bulletin & Review, Cortex and Scientific Reports.

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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