Dave Kleinschmidt

1.3k total citations · 1 hit paper
21 papers, 721 citations indexed

About

Dave Kleinschmidt is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dave Kleinschmidt has authored 21 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Experimental and Cognitive Psychology, 8 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Dave Kleinschmidt's work include Phonetics and Phonology Research (12 papers), Linguistic Variation and Morphology (6 papers) and Speech Recognition and Synthesis (6 papers). Dave Kleinschmidt is often cited by papers focused on Phonetics and Phonology Research (12 papers), Linguistic Variation and Morphology (6 papers) and Speech Recognition and Synthesis (6 papers). Dave Kleinschmidt collaborates with scholars based in United States, Denmark and Netherlands. Dave Kleinschmidt's co-authors include T. Florian Jaeger, T. Florian Jaeger, Michael K. Tanenhaus, Anne Pier Salverda, Alex B. Fine, Bożena Pająk, Kodi Weatherholtz, Safa R. Zaki, Rajeev D. S. Raizada and Tanmoy Bhattacharya and has published in prestigious journals such as Psychological Review, The Journal of the Acoustical Society of America and Journal of Cognitive Neuroscience.

In The Last Decade

Dave Kleinschmidt

17 papers receiving 693 citations

Hit Papers

Robust speech perception: Recognize the familiar, general... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave Kleinschmidt United States 12 525 342 209 201 198 21 721
Joseph C. Toscano United States 14 583 1.1× 442 1.3× 228 1.1× 126 0.6× 160 0.8× 34 801
Sam Tilsen United States 13 484 0.9× 190 0.6× 152 0.7× 173 0.9× 230 1.2× 59 607
Sarah C. Creel United States 17 542 1.0× 492 1.4× 574 2.7× 129 0.6× 199 1.0× 51 1.0k
Melissa A. Redford United States 13 389 0.7× 157 0.5× 259 1.2× 131 0.7× 147 0.7× 55 548
Bronwen G. Evans United Kingdom 13 889 1.7× 260 0.8× 238 1.1× 558 2.8× 275 1.4× 39 1.0k
Eva Reinisch Germany 21 909 1.7× 523 1.5× 305 1.5× 371 1.8× 256 1.3× 55 1.1k
Eun Jong Kong South Korea 11 430 0.8× 156 0.5× 110 0.5× 222 1.1× 194 1.0× 33 523
Volker Dellwo Switzerland 16 604 1.2× 190 0.6× 92 0.4× 263 1.3× 391 2.0× 98 820
Amanda Seidl United States 17 639 1.2× 187 0.5× 696 3.3× 170 0.8× 142 0.7× 37 958
Meghan Sumner United States 11 551 1.0× 151 0.4× 132 0.6× 411 2.0× 166 0.8× 32 656

Countries citing papers authored by Dave Kleinschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Dave Kleinschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Kleinschmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Dave Kleinschmidt. A scholar is included among the top collaborators of Dave Kleinschmidt 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 Dave Kleinschmidt. Dave Kleinschmidt 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.
Kleinschmidt, Dave, et al.. (2024). 0662 Accurate Automated Sleep Staging of Narcoleptic Patients Using a Machine Learning Model. SLEEP. 47(Supplement_1). A283–A283.
2.
Çakır, Ahmet, et al.. (2024). 1079 Robust Automated Sleep Staging Using Only EEG Signals. SLEEP. 47(Supplement_1). A463–A464.
3.
Zheng, Kevin, Dave Kleinschmidt, Phillip M. Alday, et al.. (2023). 0907 Macro and microarchitectural sleep features in Alzheimer’s dementia and mild cognitive impairment in a large clinical cohort. SLEEP. 46(Supplement_1). A399–A400.
5.
Luthra, Sahil, João Correia, Dave Kleinschmidt, Laura Mesite, & Emily B. Myers. (2020). Lexical Information Guides Retuning of Neural Patterns in Perceptual Learning for Speech. Journal of Cognitive Neuroscience. 32(10). 2001–2012. 9 indexed citations
6.
Bates, Douglas M., Phillip M. Alday, Dave Kleinschmidt, et al.. (2019). JuliaStats/MixedModels.jl: v2.2.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
7.
Stromswold, Karin, et al.. (2019). Segmental duration as a cue to sentence structure. The Journal of the Acoustical Society of America. 145(3_Supplement). 1910–1910. 1 indexed citations
8.
Bates, Douglas M., Dave Kleinschmidt, Patrick Kofod Mogensen, et al.. (2018). dmbates/MixedModels.jl: Add adaptive Gauss-Hermite quadrature. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Kleinschmidt, Dave. (2018). Structure in talker variability: How much is there and how much can it help?. Language Cognition and Neuroscience. 34(1). 43–68. 50 indexed citations
10.
Kleinschmidt, Dave & T. Florian Jaeger. (2016). What do you expect from an unfamiliar talker. Cognitive Science. 11 indexed citations
11.
Pająk, Bożena, Alex B. Fine, Dave Kleinschmidt, & T. Florian Jaeger. (2016). Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing. Language Learning. 66(4). 900–944. 37 indexed citations
12.
Kleinschmidt, Dave, Rajeev D. S. Raizada, & T. Florian Jaeger. (2015). Supervised and unsupervised learning in phonetic adaptation.. Cognitive Science. 10 indexed citations
13.
Kleinschmidt, Dave & T. Florian Jaeger. (2015). Re-examining selective adaptation: Fatiguing feature detectors, or distributional learning?. Psychonomic Bulletin & Review. 23(3). 678–691. 22 indexed citations
14.
Kleinschmidt, Dave & T. Florian Jaeger. (2015). Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel.. Psychological Review. 122(2). 148–203. 369 indexed citations breakdown →
15.
Zaki, Safa R. & Dave Kleinschmidt. (2013). Procedural memory effects in categorization: Evidence for multiple systems or task complexity?. Memory & Cognition. 42(3). 508–524. 12 indexed citations
16.
Salverda, Anne Pier, Dave Kleinschmidt, & Michael K. Tanenhaus. (2013). Immediate effects of anticipatory coarticulation in spoken-word recognition. Journal of Memory and Language. 71(1). 145–163. 92 indexed citations
17.
Kleinschmidt, Dave, Alex B. Fine, & T. Florian Jaeger. (2012). A belief-updating model of adaptation and cue combination in syntactic comprehension. Cognitive Science. 34(34). 19 indexed citations
18.
Kleinschmidt, Dave & T. Florian Jaeger. (2012). A continuum of phonetic adaptation: Evaluating an incremental belief-updating model of recalibration and selective adaptation. Cognitive Science. 34(34). 15 indexed citations
19.
Kleinschmidt, Dave & T. Florian Jaeger. (2011). A Bayesian Belief Updating Model of Phonetic Recalibration and Selective Adaptation. Meeting of the Association for Computational Linguistics. 10–19. 26 indexed citations
20.
Croft, William, Tanmoy Bhattacharya, Dave Kleinschmidt, Dennis E. Smith, & T. Florian Jaeger. (2011). Greenbergian universals, diachrony, and statistical analyses. Linguistic Typology. 15(2). 16 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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