Morgan Sonderegger

2.6k total citations · 1 hit paper
53 papers, 1.4k citations indexed

About

Morgan Sonderegger is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence. According to data from OpenAlex, Morgan Sonderegger has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Experimental and Cognitive Psychology, 27 papers in Linguistics and Language and 25 papers in Artificial Intelligence. Recurrent topics in Morgan Sonderegger's work include Phonetics and Phonology Research (39 papers), Linguistic Variation and Morphology (27 papers) and Speech Recognition and Synthesis (18 papers). Morgan Sonderegger is often cited by papers focused on Phonetics and Phonology Research (39 papers), Linguistic Variation and Morphology (27 papers) and Speech Recognition and Synthesis (18 papers). Morgan Sonderegger collaborates with scholars based in Canada, United States and United Kingdom. Morgan Sonderegger's co-authors include Michael Wagner, Michael McAuliffe, Alan C. L. Yu, James Kirby, Xuemin Chi, Derek Ruths, Jane Stuart‐Smith, Joseph Keshet, James T. Tanner and Meghan Clayards and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Morgan Sonderegger

50 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi

2017 575 citations Michael McAuliffe, Michael Wagner et al. profile →

Peers

Morgan Sonderegger

AI

ECP

LL

SP

LL

Florian Schiel Germany

Jiahong Yuan United States

Bernd Möbius Germany

Hosung Nam United States

Mattias Heldner Sweden

Martine Adda‐Decker France

Chilin Shih United States

Kim Silverman United States

Louis ten Bosch Netherlands

Štefan Beňuš Slovakia

Florian Schiel Germany

Morgan Sonderegger

889 ×1.1

AI

713 ×1.0

ECP

276 ×0.6

LL

371 ×1.0

SP

161 ×0.9

LL

Citations per year, relative to Morgan Sonderegger Morgan Sonderegger (= 1×) peers Florian Schiel

Countries citing papers authored by Morgan Sonderegger

Since Specialization

Citations

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

Fields of papers citing papers by Morgan Sonderegger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgan Sonderegger

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

All Works

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20 of 20 papers shown

1.

Sonderegger, Morgan, et al.. (2025). A sociophonetic study of creaky voice across language, gender and age in Canadian English-French bilinguals. Journal of Phonetics. 112. 101431–101431.

2.

Pigoli, Davide, et al.. (2024). Statistics in Phonetics. Annual Review of Statistics and Its Application. 12(1). 133–156. 1 indexed citations

3.

Sonderegger, Morgan, et al.. (2023). The Plausibility of Sampling as an Algorithmic Theory of Sentence Processing. Open Mind. 7. 1–42. 15 indexed citations

4.

Sonderegger, Morgan, et al.. (2023). The iambic-trochaic law without iambs or trochees: Parsing speech for grouping and prominence. The Journal of the Acoustical Society of America. 153(2). 1108–1129. 1 indexed citations

5.

Sonderegger, Morgan. (2020). Regression modeling for linguistic data. OSF Preprints (OSF Preprints). 22 indexed citations

6.

Stuart‐Smith, Jane, Morgan Sonderegger, & James T. Tanner. (2020). Structured speaker variability in Japanese stops: within versus across cues to stop voicing. OSF Preprints (OSF Preprints). 1 indexed citations

7.

Sonderegger, Morgan, et al.. (2020). Structured heterogeneity in Scottish stops over the twentieth century. Language. 1 indexed citations

8.

Tanner, James T., Morgan Sonderegger, Jane Stuart‐Smith, & Josef Fruehwald. (2020). Toward “English” Phonetics: Variability in the Pre-consonantal Voicing Effect Across English Dialects and Speakers. Frontiers in Artificial Intelligence. 3. 38–38. 5 indexed citations

9.

Tanner, James T., Morgan Sonderegger, & Jane Stuart‐Smith. (2019). Vowel duration and the voicing effect across English dialects. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 41(1). 3 indexed citations

10.

McAuliffe, Michael, et al.. (2017). Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi. 498–502. 575 indexed citations breakdown →

11.

Bang, Hyeyoung, Morgan Sonderegger, Yoonjung Kang, Meghan Clayards, & Tae-Jin Yoon. (2017). The emergence, progress, and impact of sound change in progress in Seoul Korean: Implications for mechanisms of tonogenesis. Journal of Phonetics. 66. 120–144. 52 indexed citations

12.

Bang, Hyeyoung, Morgan Sonderegger, Yoonjung Kang, Meghan Clayards, & Tae-Jin Yoon. (2015). The effect of word frequency on the timecourse of tonogenesis in Seoul Korean.. ICPhS. 9 indexed citations

13.

Sonderegger, Morgan. (2015). Trajectories of voice onset time in spontaneous speech on reality TV.. ICPhS. 4 indexed citations

14.

Tanner, James T., Morgan Sonderegger, & Michael Wagner. (2015). Production planning and coronal stop deletion in spontaneous speech.. ICPhS. 2 indexed citations

15.

Kirby, James & Morgan Sonderegger. (2013). A model of population dynamics applied to phonetic change. Cognitive Science. 35(35). 776–781. 10 indexed citations

16.

Kirby, James & Morgan Sonderegger. (2013). Proceedings of the 35th Annual Conference of the Cognitive Science Society. Cognitive Science. 34 indexed citations

17.

Sonderegger, Morgan, et al.. (2011). Effects of Speaker Evaluation on Phonetic Convergence.. ICPhS. 192–195. 30 indexed citations

18.

Yu, Alan C. L., et al.. (2011). Effects of Working Memory Capacity and "Autistic" Traits on Phonotactic Effects in Speech Perception.. ICPhS. 2236–2239. 7 indexed citations

19.

Sonderegger, Morgan & Partha Niyogi. (2010). Combining Data and Mathematical Models of Language Change. Meeting of the Association for Computational Linguistics. 1019–1029. 4 indexed citations

20.

Sonderegger, Morgan & Alan C. L. Yu. (2010). A rational account of perceptual compensation for coarticulation. eScholarship (California Digital Library). 32(32). 27 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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