Meghan Sumner

27 papers and 572 indexed citations i.

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 27 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 17 papers in Linguistics and Language and 12 papers in Artificial Intelligence. Recurrent topics in Meghan Sumner’s work include Phonetics and Phonology Research (24 papers), Linguistic Variation and Morphology (17 papers) and Speech Recognition and Synthesis (9 papers). Meghan Sumner is often cited by papers focused on Phonetics and Phonology Research (24 papers), Linguistic Variation and Morphology (17 papers) and Speech Recognition and Synthesis (9 papers). Meghan Sumner collaborates with scholars based in United States and United Kingdom. Meghan Sumner's co-authors include Arthur G. Samuel, Seung Kyung Kim, Kevin B. McGowan, Charlotte Vaughn, Chigusa Kurumada, Sharese King, Marisa Casillas, Dan Jurafsky, Rob Voigt and Simon Todd and has published in prestigious journals such as Trends in Cognitive Sciences, The Journal of the Acoustical Society of America and Cognition.

In The Last Decade

Co-authorship network of co-authors of Meghan Sumner i

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.

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).

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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