Emily B. Myers

2.5k total citations
82 papers, 1.6k citations indexed

About

Emily B. Myers is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Emily B. Myers has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Experimental and Cognitive Psychology, 54 papers in Cognitive Neuroscience and 20 papers in Developmental and Educational Psychology. Recurrent topics in Emily B. Myers's work include Phonetics and Phonology Research (48 papers), Neuroscience and Music Perception (31 papers) and Neurobiology of Language and Bilingualism (26 papers). Emily B. Myers is often cited by papers focused on Phonetics and Phonology Research (48 papers), Neuroscience and Music Perception (31 papers) and Neurobiology of Language and Bilingualism (26 papers). Emily B. Myers collaborates with scholars based in United States, Spain and United Kingdom. Emily B. Myers's co-authors include Sheila E. Blumstein, F. Sayako Earle, Xin Xie, Emmette R. Hutchison, Rachel M. Theodore, Jesse Rissman, Christopher M. Grindrod, Edward G. Walsh, James C. Eliassen and James S. Magnuson and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Physics Today.

In The Last Decade

Emily B. Myers

78 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily B. Myers United States	24	1.1k	881	550	185	173	82	1.6k
Jiyeon Lee United States	15	604 0.5×	261 0.3×	481 0.9×	53 0.3×	33 0.2×	62	862
Lise Menn United States	21	718 0.6×	747 0.8×	914 1.7×	189 1.0×	33 0.2×	57	1.6k
Patti Adank United Kingdom	19	951 0.8×	1.2k 1.4×	403 0.7×	509 2.8×	238 1.4×	48	1.8k
Ralph N. Ohde United States	21	833 0.7×	995 1.1×	413 0.8×	241 1.3×	247 1.4×	60	1.5k
Fanny Meunier France	17	757 0.7×	293 0.3×	600 1.1×	65 0.4×	83 0.5×	66	1.0k
Caroline Floccia United Kingdom	25	570 0.5×	1.0k 1.2×	1.3k 2.3×	421 2.3×	56 0.3×	58	1.9k
Willy Serniclaes France	22	1.3k 1.1×	581 0.7×	1.4k 2.6×	72 0.4×	95 0.5×	78	2.0k
Stefan A. Frisch United States	15	621 0.6×	745 0.8×	330 0.6×	277 1.5×	91 0.5×	40	1.3k
Michelle R. Molis United States	15	800 0.7×	298 0.3×	358 0.7×	90 0.5×	141 0.8×	44	1.1k
Craig G. Chambers Canada	17	1.0k 0.9×	862 1.0×	770 1.4×	35 0.2×	21 0.1×	47	1.6k

Countries citing papers authored by Emily B. Myers

Since Specialization

Citations

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

Fields of papers citing papers by Emily B. Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily B. Myers. 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 Emily B. Myers. The network helps show where Emily B. Myers may publish in the future.

Co-authorship network of co-authors of Emily B. Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Emily B. Myers. A scholar is included among the top collaborators of Emily B. Myers 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 Emily B. Myers. Emily B. Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reilly, Jamie, et al.. (2025). Measuring brain sensitivity to semantic distance in spoken narrative comprehension. Cortex. 195. 28–42.

Myers, Emily B., Matthew Phillips, & Erika Skoe. (2024). Individual differences in the perception of phonetic category structure predict speech-in-noise performance. The Journal of the Acoustical Society of America. 156(3). 1707–1719. 5 indexed citations

Myers, Emily B., et al.. (2024). Individual Differences in Accent Imitation. Open Mind. 8. 1084–1106. 1 indexed citations

Myers, Emily B., et al.. (2024). Auditory Processing of Speech and Nonspeech in People Who Stutter. Journal of Speech Language and Hearing Research. 67(8). 2533–2547.

Phillips, Matthew, et al.. (2023). Relationships between native and non-native speech perception.. Journal of Experimental Psychology Learning Memory and Cognition. 49(7). 1161–1175. 10 indexed citations

Luthra, Sahil, et al.. (2023). Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing. Brain and Language. 240. 105264–105264. 2 indexed citations

Fritz, Nora E., Erin M. Edwards, Chuyang Ye, et al.. (2022). Cerebellar Contributions to Motor and Cognitive Control in Multiple Sclerosis✰✰✰. Archives of Physical Medicine and Rehabilitation. 103(8). 1592–1599. 20 indexed citations

Luthra, Sahil, et al.. (2021). Attention, task demands, and multitalker processing costs in speech perception.. Journal of Experimental Psychology Human Perception & Performance. 47(12). 1673–1680. 7 indexed citations

Myers, Emily B., et al.. (2020). Desirable and undesirable difficulties: Influences of variability, training schedule, and aptitude on nonnative phonetic learning. Attention Perception & Psychophysics. 82(4). 2049–2065. 27 indexed citations

10.

Luthra, Sahil, et al.. (2019). Brain-behavior relationships in incidental learning of non-native phonetic categories. Brain and Language. 198. 104692–104692. 10 indexed citations

11.

Xie, Xin & Emily B. Myers. (2015). General Language Ability Predicts Talker Identification.. Cognitive Science. 5 indexed citations

12.

Earle, F. Sayako & Emily B. Myers. (2015). Sleep and native language interference affect non-native speech sound learning.. Journal of Experimental Psychology Human Perception & Performance. 41(6). 1680–1695. 38 indexed citations

13.

Myers, Emily B., et al.. (2015). Neural Substrates of Processing Anger in Language: Contributions of Prosody and Semantics. Journal of Psycholinguistic Research. 45(6). 1359–1367. 9 indexed citations

14.

Earle, F. Sayako & Emily B. Myers. (2014). Building phonetic categories: an argument for the role of sleep. Frontiers in Psychology. 5. 1192–1192. 26 indexed citations

15.

Tufo, Stephanie N. Del & Emily B. Myers. (2014). Phonemic restoration in developmental dyslexia. Frontiers in Neuroscience. 8. 134–134. 4 indexed citations

16.

Magnuson, James S., Daniel Mirman, & Emily B. Myers. (2013). Spoken Word Recognition. Oxford University Press eBooks. 54 indexed citations

17.

Myers, Emily B., et al.. (2013). The effect of sleep on learned sensitivity to a non-native phonetic contrast. The Journal of the Acoustical Society of America. 134(5_Supplement). 4107–4107. 3 indexed citations

18.

Myers, Emily B., Sheila E. Blumstein, Edward G. Walsh, & James C. Eliassen. (2009). Inferior Frontal Regions Underlie the Perception of Phonetic Category Invariance. Psychological Science. 20(7). 895–903. 108 indexed citations

19.

Grindrod, Christopher M., Natalia Y. Bilenko, Emily B. Myers, & Sheila E. Blumstein. (2008). The role of the left inferior frontal gyrus in implicit semantic competition and selection: An event-related fMRI study. Brain Research. 1229. 167–178. 54 indexed citations

20.

Myers, Emily B.. (2006). Dissociable effects of phonetic competition and category typicality in a phonetic categorization task: An fMRI investigation. Neuropsychologia. 45(7). 1463–1473. 45 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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