Meghan Sumner

28 papers receiving 591 citations

Peers

Meghan Sumner
Comparison fields: 5 of 46
  • Linguistics and Language 411
  • Experimental and Cognitive Psychology 551
  • Language and Linguistics 183
  • Developmental and Educational Psychology 132
  • Cognitive Neuroscience 151
Replace Sallyanne Palethorpe with:
Sallyanne Palethorpe Australia
Caroline R. Wiltshire United States
San Duanmu United States
Heather Goad Canada
Uriel Cohen Priva United States
Wim Zonneveld Netherlands
Gösta Bruce United States
Elizabeth C. Zsiga United States
Natasha Warner United States
Yiya Chen Netherlands
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Meghan Sumner, 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 Meghan Sumner Line = papers co-authored together Meghan Sumner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009184
2 2014132
3 2005107
4 201059
5 201333
6 201323
7 200719
8 201519
9 201712
10 202210
11
Testing the abstractness of phonological representations in Modern Hebrew weak verbs
200310
12
Phonetic variation and the recognition of words with pronunciation variants
20139
13 20246
14 20166
15 20085
16
Voices and Variants: Effects of Voice on the Form-Based Processing of Words with Different Phonological Variants
20143
17
Voice-specific effects in semantic association.
20152
18 20232
19
The interaction of lexical frequency and phonetic variation in the perception of accented speech
20112
20 20142

About Meghan Sumner

Meghan Sumner is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language, Artificial Intelligence, Cognitive Neuroscience and Language and Linguistics, having authored 32 papers that have together received 656 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (27 papers), Linguistic Variation and Morphology (19 papers), Speech Recognition and Synthesis (9 papers), Neurobiology of Language and Bilingualism (6 papers), Multisensory perception and integration (3 papers), Speech and dialogue systems (3 papers), Natural Language Processing Techniques (2 papers) and Syntax, Semantics, Linguistic Variation (2 papers). The work is most often cited by research in Linguistics and Language (411 citations), Experimental and Cognitive Psychology (551 citations), Language and Linguistics (183 citations), Developmental and Educational Psychology (132 citations) and Cognitive Neuroscience (151 citations). Meghan Sumner has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Arthur G. Samuel, Seung Kyung Kim, Kevin B. McGowan, Charlotte Vaughn, Dan Jurafsky, Rob Voigt, Chigusa Kurumada, Marisa Casillas, Sharese King and Christina B. Young. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Memory and Language, Cognitive Science, Cognition and Alzheimer s & Dementia.

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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