Murray J. Munro

15.1k total citations · 5 hit papers
81 papers, 8.6k citations indexed

About

Murray J. Munro is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence. According to data from OpenAlex, Murray J. Munro has authored 81 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Experimental and Cognitive Psychology, 46 papers in Linguistics and Language and 24 papers in Artificial Intelligence. Recurrent topics in Murray J. Munro's work include Phonetics and Phonology Research (67 papers), Linguistic Variation and Morphology (40 papers) and Multilingual Education and Policy (19 papers). Murray J. Munro is often cited by papers focused on Phonetics and Phonology Research (67 papers), Linguistic Variation and Morphology (40 papers) and Multilingual Education and Policy (19 papers). Murray J. Munro collaborates with scholars based in Canada, United States and United Kingdom. Murray J. Munro's co-authors include Tracey M. Derwing, James Emil Flege, I. Mackay, Ron I. Thomson, Ocke‐Schwen Bohn, Marian J. Rossiter, Grace Wiebe, Michael D. Tyler, Catherine T. Best and Susan L. Morton and has published in prestigious journals such as The Journal of the Acoustical Society of America, Frontiers in Psychology and TESOL Quarterly.

In The Last Decade

Murray J. Munro

78 papers receiving 7.3k citations

Hit Papers

Foreign Accent, Comprehensibility, and Intelligibility in... 1995 2026 2005 2015 1995 1995 2005 1997 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murray J. Munro Canada 44 6.5k 4.3k 3.8k 2.4k 2.4k 81 8.6k
Tracey M. Derwing Canada 44 5.4k 0.8× 3.7k 0.9× 4.2k 1.1× 2.2k 0.9× 1.9k 0.8× 82 8.2k
Joan Bybee United States 31 4.5k 0.7× 3.4k 0.8× 6.4k 1.7× 2.7k 1.1× 2.6k 1.1× 65 10.1k
James Emil Flege United States 60 10.1k 1.6× 6.4k 1.5× 2.8k 0.7× 3.9k 1.6× 4.3k 1.8× 142 11.9k
Pavel Trofimovich Canada 32 2.2k 0.3× 1.3k 0.3× 2.0k 0.5× 1.4k 0.6× 837 0.4× 128 3.6k
Dwight Bolinger United States 32 2.4k 0.4× 1.2k 0.3× 2.7k 0.7× 805 0.3× 1.3k 0.5× 127 4.6k
Dan I. Slobin United States 31 2.9k 0.4× 760 0.2× 3.1k 0.8× 4.1k 1.7× 819 0.3× 96 7.2k
Jennifer Hay New Zealand 28 2.0k 0.3× 1.7k 0.4× 1.7k 0.4× 376 0.2× 765 0.3× 76 3.5k
Wallace Chafe United States 21 1.8k 0.3× 890 0.2× 2.7k 0.7× 784 0.3× 1.0k 0.4× 84 4.4k
Roy C. Major United States 21 1.4k 0.2× 1.2k 0.3× 1.5k 0.4× 670 0.3× 671 0.3× 40 2.8k
Antonella Sorace United Kingdom 41 1.6k 0.3× 1.4k 0.3× 3.6k 0.9× 3.5k 1.4× 1.1k 0.5× 143 6.2k

Countries citing papers authored by Murray J. Munro

Since Specialization
Citations

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

Fields of papers citing papers by Murray J. Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray J. Munro. 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 Murray J. Munro. The network helps show where Murray J. Munro may publish in the future.

Co-authorship network of co-authors of Murray J. Munro

This figure shows the co-authorship network connecting the top 25 collaborators of Murray J. Munro. A scholar is included among the top collaborators of Murray J. Munro 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 Murray J. Munro. Murray J. Munro 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.
Thomson, Ron I., Tracey M. Derwing, & Murray J. Munro. (2023). How long can naturalistic L2 pronunciation learning continue in adults? A 10-year study. Language Awareness. 33(2). 201–223. 5 indexed citations
2.
Munro, Murray J.. (2022). Variability in L2 Vowel Production: Different Elicitation Methods Affect Individual Speakers Differently. Frontiers in Psychology. 13. 916736–916736. 4 indexed citations
3.
O’Brien, Mary Grantham, Tracey M. Derwing, Catia Cucchiarini, et al.. (2019). Directions for the future of technology in pronunciation research and teaching. Iowa State University Digital Repository (Iowa State University). 182–207. 48 indexed citations
4.
Munro, Murray J.. (2018). How Well Can We Predict Second Language Learners’ Pronunciation Difficulties?. ˜The œCATESOL journal.. 30(1). 11 indexed citations
5.
Saito, Kazuya & Murray J. Munro. (2014). The Early Phase of /ɹ/ Production Development in Adult Japanese Learners of English. Language and Speech. 57(4). 451–469. 15 indexed citations
6.
Mixdorff, Hansjörg & Murray J. Munro. (2013). Quantifying and evaluating the impact of prosodic differences of foreign-accented English. 4 indexed citations
7.
Munro, Murray J., et al.. (2011). The Effects of Linguistic Experience on Perceptual Assimilation of Lexical Tone.. ICPhS. 2169–2172. 2 indexed citations
8.
Munro, Murray J.. (2008). Variability in cantonese speakers' productions of English vowels. Canadian acoustics. 36(3). 140–141. 1 indexed citations
9.
Munro, Murray J. & Tracey M. Derwing. (2006). The functional load principle in ESL pronunciation instruction: An exploratory study. System. 34(4). 520–531. 209 indexed citations
10.
Wang, Xinchun & Murray J. Munro. (2004). Computer-based training for learning English vowel contrasts. System. 32(4). 539–552. 106 indexed citations
11.
Munro, Murray J., Tracey M. Derwing, & Ron I. Thomson. (2003). A longitudinal examination of english vowel learning by Mandarin speakers. Canadian acoustics. 31(3). 32–33. 1 indexed citations
12.
Derwing, Tracey M. & Murray J. Munro. (1998). PRONUNCIATION INSTRUCTION FOR “FOSSILIZED” LEARNERS: CAN IT HELP?. 8(2). 217–235. 77 indexed citations
13.
Munro, Murray J. & Tracey M. Derwing. (1996). The Effects of Speaking Rate on the Comprehensibility of Native and Foreign-Accented Speech. Canadian acoustics. 24(3). 21–21. 8 indexed citations
14.
Munro, Murray J.. (1995). Nonsegmental Factors in Foreign Accent. Studies in Second Language Acquisition. 17(1). 17–34. 122 indexed citations
15.
Munro, Murray J. & Tracey M. Derwing. (1995). Foreign Accent, Comprehensibility, and Intelligibility in the Speech of Second Language Learners. Language Learning. 45(1). 73–97. 890 indexed citations breakdown →
16.
Flege, James Emil & Murray J. Munro. (1994). The Word Unit in Second Language Speech Production and Perception. Studies in Second Language Acquisition. 16(4). 381–411. 42 indexed citations
17.
Flege, James Emil, et al.. (1992). Production of the word-final English /t/–/d/ contrast by native speakers of English, Mandarin, and Spanish. The Journal of the Acoustical Society of America. 92(1). 128–143. 83 indexed citations
18.
Flege, James Emil, et al.. (1990). Production of the English word-final /t/-/d/ contrast by native speakers of Mandarin and Spanish. The Journal of the Acoustical Society of America. 88(S1). S81–S81. 3 indexed citations
19.
Derwing, Tracey M. & Murray J. Munro. (1989). Citizenship Preparation in Canada: An Overview.. 19(1). 35–41. 1 indexed citations
20.
Derwing, Tracey M., et al.. (1969). Citizenship Education for Adult Immigrants: Changes Over the Last Ten Years. Alberta Journal of Educational Research. 44(4). 5 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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