Michael McAuliffe

1.2k total citations · 1 hit paper
19 papers, 698 citations indexed

About

Michael McAuliffe is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Michael McAuliffe has authored 19 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 7 papers in Artificial Intelligence and 5 papers in Linguistics and Language. Recurrent topics in Michael McAuliffe's work include Phonetics and Phonology Research (10 papers), Linguistic Variation and Morphology (5 papers) and Speech Recognition and Synthesis (5 papers). Michael McAuliffe is often cited by papers focused on Phonetics and Phonology Research (10 papers), Linguistic Variation and Morphology (5 papers) and Speech Recognition and Synthesis (5 papers). Michael McAuliffe collaborates with scholars based in United States and Canada. Michael McAuliffe's co-authors include Michael Wagner, Morgan Sonderegger, Molly Babel, Ursula Wolz, Jane Stuart‐Smith, Jeff Mielke, Charlotte Vaughn, Erik R. Thomas, Robin Dodsworth and Rachel Macdonald and has published in prestigious journals such as The Journal of the Acoustical Society of America, Frontiers in Psychology and Journal of Phonetics.

In The Last Decade

Michael McAuliffe

17 papers receiving 631 citations

Hit Papers

Montreal Forced Aligner: Trainable Text-Speech Alignment ... 2017 2026 2020 2023 2017 100 200 300 400 500
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. Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi
    2017 575 citations Michael McAuliffe, Michael Wagner 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
Michael McAuliffe United States 8 430 281 267 131 78 19 698
Martine Adda‐Decker France 21 760 1.8× 525 1.9× 263 1.0× 284 2.2× 51 0.7× 138 1.1k
P. Price United States 10 740 1.7× 404 1.4× 237 0.9× 105 0.8× 198 2.5× 22 1.1k
Willemijn Heeren Netherlands 11 134 0.3× 146 0.5× 102 0.4× 52 0.4× 71 0.9× 47 308
Joaquim Llisterri Spain 11 228 0.5× 231 0.8× 72 0.3× 81 0.6× 45 0.6× 65 431
Chiu-yu Tseng Taiwan 14 547 1.3× 366 1.3× 209 0.8× 78 0.6× 38 0.5× 78 698
Xuejing Sun United States 9 348 0.8× 336 1.2× 253 0.9× 100 0.8× 77 1.0× 17 588
Kåre Sjölander Sweden 5 316 0.7× 180 0.6× 226 0.8× 22 0.2× 43 0.6× 10 466
Christoph Draxler Germany 10 245 0.6× 168 0.6× 120 0.4× 86 0.7× 36 0.5× 50 382
Henk van den Heuvel Netherlands 18 782 1.8× 217 0.8× 377 1.4× 62 0.5× 46 0.6× 102 1.0k
Rolf Carlson Sweden 17 598 1.4× 397 1.4× 216 0.8× 81 0.6× 87 1.1× 97 864

Countries citing papers authored by Michael McAuliffe

Since Specialization
Citations

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

Fields of papers citing papers by Michael McAuliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael McAuliffe

This figure shows the co-authorship network connecting the top 25 collaborators of Michael McAuliffe. A scholar is included among the top collaborators of Michael McAuliffe 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 Michael McAuliffe. Michael McAuliffe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
McAuliffe, Michael, et al.. (2019). ISCAN: a System for Integrated Phonetic Analyses Across Speech Corpora. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 8 indexed citations
2.
Stuart‐Smith, Jane, Morgan Sonderegger, Rachel Macdonald, et al.. (2019). Large-scale Acoustic Analysis of Dialectal and Social Factors in English /s/-retraction. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 6 indexed citations
3.
Mielke, Jeff, Erik R. Thomas, Josef Fruehwald, et al.. (2019). Age Vectors vs. Axes of Intraspeaker Variation in Vowel Formants Measured Automatically From Several English Speech Corpora. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 5 indexed citations
4.
Wagner, Michael & Michael McAuliffe. (2019). The effect of focus prominence on phrasing. Journal of Phonetics. 77. 100930–100930. 15 indexed citations
5.
Babel, Molly, et al.. (2019). The Goldilocks Zone of Perceptual Learning. Phonetica. 76(2-3). 179–200. 8 indexed citations
6.
McAuliffe, Michael, et al.. (2017). Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi. 498–502. 575 indexed citations breakdown →
7.
McAuliffe, Michael, et al.. (2017). Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora. 3887–3891. 7 indexed citations
8.
Wagner, Michael & Michael McAuliffe. (2017). Three Dimensions of Sentence Prosody and Their (Non-)Interactions. 3196–3200. 4 indexed citations
9.
McAuliffe, Michael, Molly Babel, & Charlotte Vaughn. (2016). Do Listeners Learn Better from Natural Speech?. 2806–2810.
10.
McAuliffe, Michael & Molly Babel. (2016). Stimulus-directed attention attenuates lexically-guided perceptual learning. The Journal of the Acoustical Society of America. 140(3). 1727–1738. 21 indexed citations
11.
Hall, Kathleen Currie, et al.. (2016). Measuring perceived morphological relatedness. The Canadian Journal of Linguistics / La revue canadienne de linguistique. 61(1). 31–67.
12.
Hall, Kathleen Currie, et al.. (2016). Measuring perceived morphological relatedness. The Canadian Journal of Linguistics / La revue canadienne de linguistique. 61(1). 31–67. 1 indexed citations
13.
Robilotti, Elizabeth, Emily Mui, Michael McAuliffe, & Stan Deresinski. (2014). 223Teaching Antimicrobial Stewardship Globally with A Massive Online Open Course (MOOC). Open Forum Infectious Diseases. 1(suppl_1). S98–S98. 1 indexed citations
14.
Babel, Molly, et al.. (2013). Can mergers-in-progress be unmerged in speech accommodation?. Frontiers in Psychology. 4. 653–653. 21 indexed citations
15.
McAuliffe, Michael & Molly Babel. (2011). Reduction of consonants and vowels in the course of discourse. The Journal of the Acoustical Society of America. 130(4_Supplement). 2548–2548. 1 indexed citations
16.
Wolz, Ursula, et al.. (1997). Multi-media integrated into CS 2. ACM SIGCSE Bulletin. 29(3). 103–110. 5 indexed citations
17.
Wolz, Ursula, et al.. (1996). Teaching introductory programming in the multi-media world. 57–59. 8 indexed citations
18.
Wolz, Ursula, et al.. (1996). Teaching introductory programming in the multi-media world. ACM SIGCUE Outlook. 24(1-3). 57–59. 9 indexed citations
19.
Wolz, Ursula, et al.. (1996). Teaching introductory programming in the multi-media world. ACM SIGCSE Bulletin. 28(SI). 57–59. 3 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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