Karen E. Mulak

567 total citations
21 papers, 356 citations indexed

About

Karen E. Mulak is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Karen E. Mulak has authored 21 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Experimental and Cognitive Psychology, 15 papers in Developmental and Educational Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Karen E. Mulak's work include Phonetics and Phonology Research (17 papers), Language Development and Disorders (14 papers) and Linguistic Variation and Morphology (7 papers). Karen E. Mulak is often cited by papers focused on Phonetics and Phonology Research (17 papers), Language Development and Disorders (14 papers) and Linguistic Variation and Morphology (7 papers). Karen E. Mulak collaborates with scholars based in Australia, United States and United Kingdom. Karen E. Mulak's co-authors include Paola Escudero, Haley A. Vlach, Ellen Simon, Catherine T. Best, Christine Kitamura, Michael D. Tyler, Julia Irwin, Charlene S. L. Fu, Leher Singh and Jason A. Shaw and has published in prestigious journals such as PLoS ONE, Child Development and Frontiers in Psychology.

In The Last Decade

Karen E. Mulak

21 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen E. Mulak Australia 12 244 228 99 89 80 21 356
Marieke van Heugten Canada 12 350 1.4× 212 0.9× 111 1.1× 77 0.9× 35 0.4× 21 428
Karin Wanrooij Netherlands 7 149 0.6× 232 1.0× 113 1.1× 77 0.9× 54 0.7× 11 288
Rachel Schmale United States 6 296 1.2× 342 1.5× 66 0.7× 127 1.4× 26 0.3× 7 404
Ruben van de Vijver Germany 9 156 0.6× 291 1.3× 103 1.0× 121 1.4× 112 1.4× 35 393
Chandan Narayan Canada 7 200 0.8× 209 0.9× 44 0.4× 36 0.4× 39 0.5× 13 276
Cecile Kuijpers Netherlands 8 184 0.8× 167 0.7× 82 0.8× 49 0.6× 56 0.7× 15 270
Yvan Rose Canada 10 273 1.1× 311 1.4× 59 0.6× 128 1.4× 101 1.3× 35 431
Catherine Best United States 3 296 1.2× 422 1.9× 119 1.2× 128 1.4× 106 1.3× 4 507
Katrin Skoruppa Switzerland 11 280 1.1× 222 1.0× 118 1.2× 32 0.4× 53 0.7× 21 360
Katherine A. Yoshida United States 6 432 1.8× 319 1.4× 141 1.4× 37 0.4× 32 0.4× 8 511

Countries citing papers authored by Karen E. Mulak

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Mulak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Mulak. 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 Karen E. Mulak. The network helps show where Karen E. Mulak may publish in the future.

Co-authorship network of co-authors of Karen E. Mulak

This figure shows the co-authorship network connecting the top 25 collaborators of Karen E. Mulak. A scholar is included among the top collaborators of Karen E. Mulak 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 Karen E. Mulak. Karen E. Mulak 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.
Shaw, Jason A., Paul Foulkes, Jennifer Hay, et al.. (2023). Revealing perceptual structure through input variation: cross-accent categorization of vowels in five accents of English. Laboratory Phonology Journal of the Association for Laboratory Phonology. 14(1). 2 indexed citations
2.
Escudero, Paola, et al.. (2022). Explaining L2 Lexical Learning in Multiple Scenarios: Cross-Situational Word Learning in L1 Mandarin L2 English Speakers. Brain Sciences. 12(12). 1618–1618. 9 indexed citations
3.
Mulak, Karen E., et al.. (2021). Word learning in the field: Adapting a laboratory-based task for testing in remote Papua New Guinea. PLoS ONE. 16(9). e0257393–e0257393. 8 indexed citations
4.
Mulak, Karen E., et al.. (2020). Cross-Situational Word Learning in Two Foreign Languages: Effects of Native Language and Perceptual Difficulty. Frontiers in Communication. 5. 15 indexed citations
5.
Mulak, Karen E., Haley A. Vlach, & Paola Escudero. (2019). Cross‐Situational Learning of Phonologically Overlapping Words Across Degrees of Ambiguity. Cognitive Science. 43(5). e12731–e12731. 15 indexed citations
6.
Shaw, Jason A., Catherine T. Best, Gerard Docherty, et al.. (2018). Resilience of English vowel perception across regional accent variation. Laboratory Phonology Journal of the Association for Laboratory Phonology. 9(1). 11–11. 18 indexed citations
7.
Mulak, Karen E., et al.. (2017). Indexical and linguistic processing by 12-month-olds: Discrimination of speaker, accent and vowel differences. PLoS ONE. 12(5). e0176762–e0176762. 12 indexed citations
8.
Mulak, Karen E., et al.. (2017). Acoustic Properties Predict Perception of Unfamiliar Dutch Vowels by Adult Australian English and Peruvian Spanish Listeners. Frontiers in Psychology. 8. 52–52. 17 indexed citations
9.
Escudero, Paola, et al.. (2017). “Mummy, keep it steady”: phonetic variation shapes word learning at 15 and 17 months. Developmental Science. 21(5). e12640–e12640. 12 indexed citations
10.
Escudero, Paola, Karen E. Mulak, Charlene S. L. Fu, & Leher Singh. (2016). More Limitations to Monolingualism: Bilinguals Outperform Monolinguals in Implicit Word Learning. Frontiers in Psychology. 7. 1218–1218. 35 indexed citations
11.
Escudero, Paola, Karen E. Mulak, & Haley A. Vlach. (2016). Infants Encode Phonetic Detail during Cross-Situational Word Learning. Frontiers in Psychology. 7. 1419–1419. 15 indexed citations
12.
Best, Catherine T., Jason A. Shaw, Paul Foulkes, et al.. (2015). From newcastle MOUTH to aussie ears: australians' perceptual assimilation and adaptation for newcastle UK vowels. Newcastle University ePrints (Newcastle Univesity). 1932–1936. 4 indexed citations
13.
Escudero, Paola, Karen E. Mulak, & Haley A. Vlach. (2015). Cross‐Situational Learning of Minimal Word Pairs. Cognitive Science. 40(2). 455–465. 39 indexed citations
14.
Escudero, Paola, et al.. (2015). Indexical and linguistic processing in infancy: Discrimination of speaker, accent and vowel differences.. 2 indexed citations
15.
Escudero, Paola, Catherine T. Best, Christine Kitamura, & Karen E. Mulak. (2014). Magnitude of phonetic distinction predicts success at early word learning in native and non-native accents. Frontiers in Psychology. 5. 1059–1059. 16 indexed citations
16.
Escudero, Paola, et al.. (2014). Acoustic distance explains speaker versus accent normalization in infancy. 80–83. 1 indexed citations
18.
Escudero, Paola, Karen E. Mulak, & Haley A. Vlach. (2013). Cross-situational statistical learning of phonologically overlapping words. Cognitive Science. 35(35). 418–423. 2 indexed citations
19.
Mulak, Karen E., Catherine T. Best, Michael D. Tyler, Christine Kitamura, & Julia Irwin. (2013). Development of Phonological Constancy: 19-Month-Olds, but Not 15-Month-Olds, Identify Words in a Non-Native Regional Accent. Child Development. 84(6). 2064–2078. 63 indexed citations
20.
Escudero, Paola, Ellen Simon, & Karen E. Mulak. (2013). Learning words in a new language: Orthography doesn't always help. Bilingualism Language and Cognition. 17(2). 384–395. 63 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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