John M. Levis

6.0k total citations · 1 hit paper
85 papers, 3.0k citations indexed

About

John M. Levis is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Language and Linguistics. According to data from OpenAlex, John M. Levis has authored 85 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Experimental and Cognitive Psychology, 25 papers in Linguistics and Language and 20 papers in Language and Linguistics. Recurrent topics in John M. Levis's work include Phonetics and Phonology Research (47 papers), Linguistic Variation and Morphology (17 papers) and Multilingual Education and Policy (15 papers). John M. Levis is often cited by papers focused on Phonetics and Phonology Research (47 papers), Linguistic Variation and Morphology (17 papers) and Multilingual Education and Policy (15 papers). John M. Levis collaborates with scholars based in United States, Ireland and Canada. John M. Levis's co-authors include Judy B. Gilbert, Jennifer Jenkins, Lucy Pickering, Sinem Sonsaat, H. S. Venkatagiri, Liam J. Fanning, Elizabeth Kenny-Walsh, Sierra L. Grant, Thomas S. C. Farrell and Evgeny Chukharev‐Hudilainen and has published in prestigious journals such as Hepatology, Journal of General Virology and TESOL Quarterly.

In The Last Decade

John M. Levis

72 papers receiving 2.5k citations

Hit Papers

The Phonology of English as an International Language 2001 2026 2009 2017 2001 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Phonology of English as an International Language
    2001 994 citations John M. Levis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Levis United States 22 1.7k 1.4k 1.2k 650 645 85 3.0k
Okim Kang United States 14 553 0.3× 614 0.4× 501 0.4× 233 0.4× 179 0.3× 59 1.1k
Thomas Hoffmann Germany 18 481 0.3× 284 0.2× 244 0.2× 169 0.3× 53 0.1× 66 860
Olga Kagan United States 14 680 0.4× 166 0.1× 610 0.5× 111 0.2× 362 0.6× 52 1.2k
Robert D. Rodman United States 11 640 0.4× 243 0.2× 229 0.2× 332 0.5× 153 0.2× 40 1.5k
Lisa deMena Travis United States 11 1.0k 0.6× 305 0.2× 432 0.4× 399 0.6× 11 0.0× 29 1.3k
Martin Warren Hong Kong 15 392 0.2× 105 0.1× 78 0.1× 177 0.3× 262 0.4× 35 1.0k
Vít Suchomel Czechia 8 520 0.3× 170 0.1× 52 0.0× 544 0.8× 166 0.3× 27 1.1k
Patrick Gonzales United States 11 101 0.1× 116 0.1× 24 0.0× 29 0.0× 78 0.1× 24 1.2k
Jang Ho Lee South Korea 19 438 0.3× 48 0.0× 120 0.1× 387 0.6× 323 0.5× 64 1.1k
Willy A. Renandya Singapore 24 1.6k 0.9× 122 0.1× 115 0.1× 225 0.3× 994 1.5× 74 3.2k

Countries citing papers authored by John M. Levis

Since Specialization
Citations

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

Fields of papers citing papers by John M. Levis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Levis. 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 John M. Levis. The network helps show where John M. Levis may publish in the future.

Co-authorship network of co-authors of John M. Levis

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Levis. A scholar is included among the top collaborators of John M. Levis 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 John M. Levis. John M. Levis 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.
Levis, John M., et al.. (2025). Automatic speech recognition and pronunciation learning. Language Teaching. 1–17.
2.
Novotný, Michal, et al.. (2024). Corrective feedback accuracy and pronunciation improvement: Feedback that is ‘good enough’. Language learning & technology. 28(1). 1–16.
3.
4.
Levis, John M.. (2024). Key issues in L2 pronunciation research. 10(3). 293–308.
5.
6.
Ding, Shaojin, Sinem Sonsaat, Guanlong Zhao, et al.. (2019). Golden speaker builder – An interactive tool for pronunciation training. Speech Communication. 115. 51–66. 33 indexed citations
7.
Zhao, Guanlong, et al.. (2018). L2-ARCTIC: A Non-native English Speech Corpus. 2783–2787. 76 indexed citations
8.
Chukharev‐Hudilainen, Evgeny, et al.. (2018). A system for adaptive high-variability segmental perceptual training: Implementation, effectiveness, transfer. Language learning & technology. 22(1). 69–96. 20 indexed citations
9.
Levis, John M., et al.. (2018). Pronunciation—Research Into Practice and Practice Into Research. ˜The œCATESOL journal.. 30(1). 4 indexed citations
10.
Levis, John M., et al.. (2018). Teaching High-Value Pronunciation Features: Contrastive Stress for Intermediate Learners. ˜The œCATESOL journal.. 30(1). 22 indexed citations
11.
Levis, John M.. (2017). Evidence-based pronunciation teaching. 3(1). 1–8. 1 indexed citations
12.
Benson, John R., et al.. (2016). Hepatitis E Virus (HEV) Infection in Ireland.. PubMed. 109(8). 451–451. 5 indexed citations
13.
Levis, John M.. (2015). Learners’ views of social issues in pronunciation learning. Iowa State University Digital Repository (Iowa State University). 9(1). 19 indexed citations
14.
Levis, John M., et al.. (2012). The pan-genotype specificity of the hepatitis C virus anti-core monoclonal antibody C7-50 is contingent on the quasispecies profile of a population. Archives of Virology. 157(11). 2235–2239. 3 indexed citations
15.
Olson, Joanne K., John M. Levis, Roberta J. Vann, & Katherine Richardson Bruna. (2009). Enhancing Science for ELLs: Science strategies for English language learners that benefit all students.. Iowa State University Digital Repository (Iowa State University). 46(5). 46–48. 5 indexed citations
16.
Moreau, Isabelle, John M. Levis, Órla Crosbie, Elizabeth Kenny-Walsh, & Liam J. Fanning. (2008). Correlation between pre-treatment quasispecies complexity and treatment outcome in chronic HCV genotype 3a. Virology Journal. 5(1). 78–78. 17 indexed citations
17.
Moreau, Isabelle, et al.. (2008). Separation of Hepatitis C genotype 4a into IgG-depleted and IgG-enriched fractions reveals a unique quasispecies profile. Virology Journal. 5(1). 103–103. 6 indexed citations
18.
Moreau, Isabelle, et al.. (2006). Serendipitous identification of natural Intergenotypic recombinants of hepatitis C in Ireland. Virology Journal. 3(1). 95–95. 51 indexed citations
19.
Levis, John M., Elizabeth Kenny-Walsh, Kathleen O’Sullivan, et al.. (2001). Strategy for the maximization of clinically relevant information from hepatitis C virus, RT-PCR quantification. Journal of Clinical Virology. 20(3). 163–171. 3 indexed citations
20.
Fanning, Liam J., Elizabeth Kenny-Walsh, John M. Levis, et al.. (2000). Natural fluctuations of hepatitis C viral load in a homogeneous patient population: A prospective study. Hepatology. 31(1). 225–229. 32 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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