Karen E. Mulak

567 citations
21 papers · 356 indexed · h-index 12

Karen E. Mulak

21 papers receiving 345 citations

Peers

Karen E. Mulak
Comparison fields: 5 of 24
  • Linguistics and Language 89
  • Developmental and Educational Psychology 244
  • Experimental and Cognitive Psychology 228
  • Cognitive Neuroscience 99
  • Language and Linguistics 34
Replace Yen-Chen Hao with:
Yen-Chen Hao United States
Mikhail Ordin Spain
Marieke van Heugten Canada
Karin Wanrooij Netherlands
Rory Turnbull United States
Leona Polyanskaya Spain
Rachel Schmale United States
Ruben van de Vijver Germany
Judit Fazekas United Kingdom
Alejandrina Cristià France
Karen E. Mulak relative to Yen-Chen Hao United States Yen-Chen Hao's profile →
Citations per field
00.5×1.5×2.3×
Yen-Chen Hao · 1×
Citations per year

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

The 19 scholars most cited alongside Karen E. Mulak, 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 Karen E. Mulak Line = papers co-authored together Karen E. Mulak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20229
3 20218
4 202015
5 201915
6 201818
7 201712
8 201717
9 201712
10 201635
11 201615
12 20154
13 201539
14
Indexical and linguistic processing in infancy: Discrimination of speaker, accent and vowel differences.
20152
15 201416
16
Acoustic distance explains speaker versus accent normalization in infancy
20141
17 20145
18
Cross-situational statistical learning of phonologically overlapping words
20132
19 201363
20 201363

About Karen E. Mulak

Karen E. Mulak is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (17 papers), Language Development and Disorders (14 papers), Linguistic Variation and Morphology (7 papers), Reading and Literacy Development (7 papers), Speech and dialogue systems (5 papers), Speech Recognition and Synthesis (5 papers), Syntax, Semantics, Linguistic Variation (2 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Linguistics and Language (89 citations), Developmental and Educational Psychology (244 citations) and Experimental and Cognitive Psychology (228 citations). Karen E. Mulak has collaborated with scholars based in Australia, United States and United Kingdom. Frequent 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. Their work appears in journals such as Frontiers in Psychology, Cognitive Science, PLoS ONE, Laboratory Phonology Journal of the Association for Laboratory Phonology and Child Development.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026