Meghan Sumner

1.3k total citations
32 papers, 656 citations indexed

About

Meghan Sumner is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence. According to data from OpenAlex, Meghan Sumner has authored 32 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Experimental and Cognitive Psychology, 19 papers in Linguistics and Language and 13 papers in Artificial Intelligence. Recurrent topics in Meghan Sumner's work include Phonetics and Phonology Research (27 papers), Linguistic Variation and Morphology (19 papers) and Speech Recognition and Synthesis (9 papers). Meghan Sumner is often cited by papers focused on Phonetics and Phonology Research (27 papers), Linguistic Variation and Morphology (19 papers) and Speech Recognition and Synthesis (9 papers). Meghan Sumner collaborates with scholars based in United States, United Kingdom and Netherlands. Meghan Sumner's co-authors include Arthur G. Samuel, Seung Kyung Kim, Kevin B. McGowan, Charlotte Vaughn, Rob Voigt, Chigusa Kurumada, Dan Jurafsky, Sharese King, Marisa Casillas and Cody Karjadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Cognitive Sciences and The Journal of the Acoustical Society of America.

In The Last Decade

Meghan Sumner

28 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghan Sumner United States 11 551 411 183 166 151 32 656
Sallyanne Palethorpe Australia 14 594 1.1× 529 1.3× 205 1.1× 234 1.4× 103 0.7× 44 793
Yiya Chen Netherlands 17 748 1.4× 363 0.9× 218 1.2× 293 1.8× 326 2.2× 71 912
Wim Zonneveld Netherlands 11 530 1.0× 275 0.7× 249 1.4× 218 1.3× 101 0.7× 34 707
Elizabeth A. Strand United States 4 386 0.7× 315 0.8× 157 0.9× 104 0.6× 94 0.6× 5 526
San Duanmu United States 13 823 1.5× 510 1.2× 324 1.8× 348 2.1× 215 1.4× 36 1.0k
Caroline R. Wiltshire United States 10 563 1.0× 397 1.0× 261 1.4× 271 1.6× 88 0.6× 28 709
Gösta Bruce United States 13 680 1.2× 343 0.8× 298 1.6× 408 2.5× 89 0.6× 63 832
Donca Steriade United States 12 838 1.5× 541 1.3× 421 2.3× 346 2.1× 98 0.6× 14 979
Josef Fruehwald United Kingdom 11 421 0.8× 454 1.1× 337 1.8× 174 1.0× 50 0.3× 31 683
Kaori Idemaru United States 14 495 0.9× 222 0.5× 124 0.7× 204 1.2× 125 0.8× 34 568

Countries citing papers authored by Meghan Sumner

Since Specialization
Citations

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

Fields of papers citing papers by Meghan Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meghan Sumner

This figure shows the co-authorship network connecting the top 25 collaborators of Meghan Sumner. A scholar is included among the top collaborators of Meghan Sumner 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 Meghan Sumner. Meghan Sumner 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.
Young, Christina B., Cody Karjadi, Ting Fang Alvin Ang, et al.. (2024). Speech patterns during memory recall relates to early tau burden across adulthood. Alzheimer s & Dementia. 20(4). 2552–2563. 6 indexed citations
2.
Sumner, Meghan, et al.. (2024). The episodic encoding of spoken words in Hindi. SHILAP Revista de lepidopterología. 4(3).
3.
Vaughn, Charlotte, et al.. (2023). Talker-specificity and token-specificity in recognition memory. Cognition. 237. 105450–105450. 2 indexed citations
4.
Vaughn, Charlotte, et al.. (2022). The episodic encoding of talker voice attributes across diverse voices. Journal of Memory and Language. 128. 104376–104376. 10 indexed citations
5.
Kim, Seung Kyung & Meghan Sumner. (2017). Beyond lexical meaning: The effect of emotional prosody on spoken word recognition. The Journal of the Acoustical Society of America. 142(1). EL49–EL55. 12 indexed citations
6.
Voigt, Rob, Dan Jurafsky, & Meghan Sumner. (2016). Between- and Within-Speaker Effects of Bilingualism on F0 Variation. 1122–1126. 6 indexed citations
7.
Sumner, Meghan, et al.. (2015). Voice-specific effects in semantic association.. Cognitive Science. 2 indexed citations
8.
Kim, Seung Kyung & Meghan Sumner. (2015). Effects of Emotional Prosody and Attention on Semantic Priming.. Cognitive Science. 1 indexed citations
9.
Sumner, Meghan. (2015). The social weight of spoken words. Trends in Cognitive Sciences. 19(5). 238–239. 19 indexed citations
10.
King, Sharese & Meghan Sumner. (2014). Voices and Variants: Effects of Voice on the Form-Based Processing of Words with Different Phonological Variants. eScholarship (California Digital Library). 36(36). 3 indexed citations
11.
Sumner, Meghan, et al.. (2014). The socially weighted encoding of spoken words: a dual-route approach to speech perception. Frontiers in Psychology. 4. 1015–1015. 132 indexed citations
12.
Sumner, Meghan, et al.. (2013). Phonetic variation and the recognition of words with pronunciation variants. Cognitive Science. 35(35). 3486–3492. 9 indexed citations
13.
Sumner, Meghan, et al.. (2013). Effects of phonetically-cued talker variation on semantic encoding. The Journal of the Acoustical Society of America. 134(6). EL485–EL491. 33 indexed citations
14.
Weber, Andréa, Meghan Sumner, Andrea Krott, Falk Huettig, & Adriana Hanulíková. (2011). Sinking about boats and brains: Activation of word meaning in foreign-accented speech by native and nonnative listeners. Max Planck Digital Library. 1 indexed citations
15.
Marneffe, Marie-Catherine de, et al.. (2011). The interaction of lexical frequency and phonetic variation in the perception of accented speech. MPG.PuRe (Max Planck Society). 3575–3580. 2 indexed citations
16.
Sumner, Meghan. (2010). The role of variation in the perception of accented speech. Cognition. 119(1). 131–136. 59 indexed citations
17.
Sumner, Meghan, et al.. (2010). Phonetic adaptation in non-native speech: Insights from a distributional analysis of long-lag voice onset time.. The Journal of the Acoustical Society of America. 127(3_Supplement). 1853–1853. 1 indexed citations
18.
Sumner, Meghan & Arthur G. Samuel. (2009). The effect of experience on the perception and representation of dialect variants. Journal of Memory and Language. 60(4). 487–501. 184 indexed citations
19.
Sumner, Meghan & Arthur G. Samuel. (2007). Lexical inhibition and sublexical facilitation are surprisingly long lasting.. Journal of Experimental Psychology Learning Memory and Cognition. 33(4). 769–790. 19 indexed citations
20.
Sumner, Meghan. (2003). A psycholinguistic approach to abstractness: The case of Hebrew. Scholarly Commons (University of Pennsylvania). 8(1). 16. 1 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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