Matt Coler

706 total citations
44 papers, 232 citations indexed

About

Matt Coler is a scholar working on Experimental and Cognitive Psychology, Language and Linguistics and Artificial Intelligence. According to data from OpenAlex, Matt Coler has authored 44 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 13 papers in Language and Linguistics and 12 papers in Artificial Intelligence. Recurrent topics in Matt Coler's work include Phonetics and Phonology Research (12 papers), Speech Recognition and Synthesis (8 papers) and Speech and Audio Processing (7 papers). Matt Coler is often cited by papers focused on Phonetics and Phonology Research (12 papers), Speech Recognition and Synthesis (8 papers) and Speech and Audio Processing (7 papers). Matt Coler collaborates with scholars based in Netherlands, United States and Canada. Matt Coler's co-authors include Karin Pfeffer, Luca Bertolini, Wander Lowie, Anastasios Sarampalis, Deniz Başkent, Danièle Dubois, Esther Klabbers, Catherine Guastavino, George Fletcher and Decebal Constantin Mocanu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Frontiers in Psychology.

In The Last Decade

Matt Coler

35 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Coler Netherlands 8 105 96 62 49 43 44 232
Magdalena Kachlicka United Kingdom 9 179 1.7× 125 1.3× 46 0.7× 120 2.4× 42 1.0× 21 286
Shannon L. M. Heald United States 11 284 2.7× 36 0.4× 24 0.4× 185 3.8× 6 0.1× 27 403
Georgios P. Georgiou Cyprus 12 73 0.7× 16 0.2× 5 0.1× 190 3.9× 35 0.8× 48 373
Santiago González Spain 9 35 0.3× 15 0.2× 9 0.1× 111 2.3× 57 1.3× 13 168
Jennifer Aydelott United Kingdom 10 337 3.2× 74 0.8× 7 0.1× 138 2.8× 3 0.1× 18 380
Joanna L. Brooks United Kingdom 7 297 2.8× 60 0.6× 2 0.0× 120 2.4× 7 0.2× 9 394
Martine Coene Netherlands 10 135 1.3× 56 0.6× 1 0.0× 56 1.1× 54 1.3× 46 233
Jacqueline Vaissière France 13 37 0.4× 96 1.0× 3 0.0× 312 6.4× 74 1.7× 63 487
Kelly Miles Australia 7 186 1.8× 90 0.9× 129 2.6× 28 0.7× 22 298
Drew Jordan McLaughlin United States 8 174 1.7× 61 0.6× 150 3.1× 21 0.5× 18 252

Countries citing papers authored by Matt Coler

Since Specialization
Citations

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

Fields of papers citing papers by Matt Coler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Coler

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Coler. A scholar is included among the top collaborators of Matt Coler 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 Matt Coler. Matt Coler 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.
Li, Zhu, et al.. (2025). Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–5.
2.
Coler, Matt, et al.. (2024). Enhancing sarcasm detection through multimodal data integration: A proposal for augmenting audio with text and emoticon. The Journal of the Acoustical Society of America. 155(3_Supplement). A264–A264.
3.
Sarampalis, Anastasios, et al.. (2024). Lexical Stress Identification in Cochlear Implant-Simulated Speech by Non-Native Listeners. Language and Speech. 67(4). 1075–1092.
4.
Coler, Matt, et al.. (2024). Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments. Proceedings of meetings on acoustics. 54. 60002–60002. 1 indexed citations
5.
Sarampalis, Anastasios, et al.. (2023). Prosodic Focus Interpretation in Spectrotemporally Degraded Speech by Non-Native Listeners. Journal of Speech Language and Hearing Research. 66(9). 3649–3664.
6.
Coler, Matt, et al.. (2023). Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages. University of Groningen research database (University of Groningen / Centre for Information Technology). 5466–5470.
7.
Coler, Matt, et al.. (2023). Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection. University of Groningen research database (University of Groningen / Centre for Information Technology). 21–26. 1 indexed citations
8.
Coler, Matt, et al.. (2023). Reimagining language. Linguistics in the Netherlands. 40. 309–317. 1 indexed citations
9.
Coler, Matt, et al.. (2022). Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech. Interspeech 2022. 2323–2327. 1 indexed citations
10.
Dubois, Danièle, et al.. (2021). Sensory Experiences. SPIRE - Sciences Po Institutional REpository. 5 indexed citations
11.
Coler, Matt, et al.. (2021). A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource Languages. University of Groningen research database (University of Groningen / Centre for Information Technology). 16–20. 8 indexed citations
12.
Coler, Matt, et al.. (2021). How expertise and language familiarity influence perception of speech of people with Parkinson’s disease. Clinical Linguistics & Phonetics. 36(2-3). 165–182. 3 indexed citations
13.
Coler, Matt, et al.. (2020). Vowel deletion in two Aymara varieties. University of Groningen research database (University of Groningen / Centre for Information Technology). 32(1). 151–174. 2 indexed citations
14.
Sarampalis, Anastasios, et al.. (2020). Meta-Analysis on the Identification of Linguistic and Emotional Prosody in Cochlear Implant Users and Vocoder Simulations. Ear and Hearing. 41(5). 1092–1102. 29 indexed citations
15.
Pfeffer, Karin, et al.. (2018). Public Space Users’ Soundscape Evaluations in Relation to Their Activities. An Amsterdam-Based Study. Frontiers in Psychology. 9. 1593–1593. 43 indexed citations
16.
Rosseel, Laura, et al.. (2016). Using IAT to Understand the Relationship between Variant Usage Patterns and Social Meaning. Lirias (KU Leuven). 2 indexed citations
17.
Coler, Matt. (2014). A Grammar of Muylaq' Aymara. 11 indexed citations
18.
Coler, Matt. (2014). A Grammar of Muylaq' Aymara: Aymara as Spoken in Southern Peru. 9 indexed citations
19.
Coler, Matt. (2014). The Grammatical Expression of Dialogicity in Muylaq’ Aymara Narratives. International Journal of American Linguistics. 80(2). 241–265. 2 indexed citations
20.
Coler, Matt. (2003). Reflections on the Judgement Axis, ICNP®β. International Nursing Review. 50(1). 15–21. 2 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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