Adam Tierney

4.0k total citations
87 papers, 2.3k citations indexed

About

Adam Tierney is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Adam Tierney has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Cognitive Neuroscience, 36 papers in Experimental and Cognitive Psychology and 21 papers in Signal Processing. Recurrent topics in Adam Tierney's work include Neuroscience and Music Perception (68 papers), Hearing Loss and Rehabilitation (49 papers) and Phonetics and Phonology Research (23 papers). Adam Tierney is often cited by papers focused on Neuroscience and Music Perception (68 papers), Hearing Loss and Rehabilitation (49 papers) and Phonetics and Phonology Research (23 papers). Adam Tierney collaborates with scholars based in United Kingdom, United States and Japan. Adam Tierney's co-authors include Nina Kraus, Frederic Dick, Kazuya Saito, Travis White‐Schwoch, Dana L. Strait, Jennifer Krizman, David B. Pisoni, Martin I. Sereno, Kali Woodruff Carr and Aniruddh D. Patel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Adam Tierney

81 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Tierney United Kingdom 26 1.9k 766 534 317 258 87 2.3k
Cyrille Magne United States 14 1.7k 0.9× 713 0.9× 491 0.9× 356 1.1× 162 0.6× 25 1.8k
Jackson T. Gandour United States 32 3.3k 1.7× 2.1k 2.7× 571 1.1× 164 0.5× 450 1.7× 66 3.7k
L. Robert Slevc United States 20 1.2k 0.6× 463 0.6× 496 0.9× 202 0.6× 114 0.4× 50 1.4k
Marie Cheour Finland 27 3.1k 1.6× 1.5k 2.0× 1.3k 2.4× 100 0.3× 272 1.1× 31 3.6k
Sebastian Jentschke Germany 23 1.4k 0.7× 441 0.6× 216 0.4× 264 0.8× 280 1.1× 37 1.8k
Psyche Loui United States 30 2.2k 1.1× 729 1.0× 183 0.3× 503 1.6× 445 1.7× 80 2.5k
Narly Golestani Switzerland 28 1.7k 0.9× 682 0.9× 823 1.5× 40 0.1× 96 0.4× 48 2.5k
Reyna L. Gordon United States 20 1.1k 0.6× 322 0.4× 457 0.9× 225 0.7× 112 0.4× 44 1.3k
Martina Huss United Kingdom 17 1.6k 0.8× 464 0.6× 928 1.7× 55 0.2× 132 0.5× 22 1.9k
Peter Q. Pfordresher United States 27 1.9k 1.0× 572 0.7× 196 0.4× 511 1.6× 507 2.0× 87 2.1k

Countries citing papers authored by Adam Tierney

Since Specialization
Citations

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

Fields of papers citing papers by Adam Tierney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Tierney

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Tierney. A scholar is included among the top collaborators of Adam Tierney 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 Adam Tierney. Adam Tierney 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.
Tierney, Adam, et al.. (2024). Speech-to-song transformation in perception and production. Cognition. 254. 105933–105933.
2.
Tierney, Adam, et al.. (2024). Rapid Learning and Long-term Memory in the Speech-to-song Illusion. Music Perception An Interdisciplinary Journal. 41(5). 348–359.
3.
Kachlicka, Magdalena, et al.. (2024). Tone language experience enhances dimension-selective attention and subcortical encoding but not cortical entrainment to pitch. Imaging Neuroscience. 2. 1 indexed citations
4.
Holt, Lori L., et al.. (2023). Informational masking influences segmental and suprasegmental speech categorization. Psychonomic Bulletin & Review. 31(2). 686–696. 2 indexed citations
5.
Dick, Frederic, et al.. (2023). Salient sounds distort time perception and production. Psychonomic Bulletin & Review. 31(1). 137–147. 1 indexed citations
6.
Saito, Kazuya, et al.. (2022). Training auditory processing promotes second language speech acquisition.. Journal of Experimental Psychology Human Perception & Performance. 48(12). 1410–1426. 9 indexed citations
7.
Jasmin, Kyle, et al.. (2022). Short-term perceptual reweighting in suprasegmental categorization. Psychonomic Bulletin & Review. 30(1). 373–382. 9 indexed citations
8.
Saito, Kazuya, Handong Sun, Magdalena Kachlicka, et al.. (2020). Domain-General Auditory Processing Explains Multiple Dimensions of Second Language Acquisition in Adulthood. UCL Discovery (University College London). 1 indexed citations
9.
Kachlicka, Magdalena, Kazuya Saito, & Adam Tierney. (2019). Successful second language learning is tied to robust domain-general auditory processing and stable neural representation of sound. Brain and Language. 192. 15–24. 48 indexed citations
10.
Jasmin, Kyle, Frederic Dick, Lori L. Holt, & Adam Tierney. (2019). Tailored perception: Individuals’ speech and music perception strategies fit their perceptual abilities.. Journal of Experimental Psychology General. 149(5). 914–934. 25 indexed citations
11.
Holt, Lori L., et al.. (2018). Dimension-selective attention as a possible driver of dynamic, context-dependent re-weighting in speech processing. Hearing Research. 366. 50–64. 25 indexed citations
12.
Jasmin, Kyle, et al.. (2017). Successful non-native speech perception is linked to frequency following response phase consistency. Cortex. 93. 146–154. 21 indexed citations
13.
Tierney, Adam & Nina Kraus. (2015). Evidence for Multiple Rhythmic Skills. PLoS ONE. 10(9). e0136645–e0136645. 31 indexed citations
14.
Slater, Jessica, Adam Tierney, & Nina Kraus. (2014). Correction: At-Risk Elementary School Children with One Year of Classroom Music Instruction Are Better at Keeping a Beat. PLoS ONE. 9(1). 1 indexed citations
15.
Tierney, Adam & Nina Kraus. (2013). The Ability to Move to a Beat Is Linked to the Consistency of Neural Responses to Sound. Journal of Neuroscience. 33(38). 14981–14988. 115 indexed citations
16.
Tierney, Adam & Nina Kraus. (2013). Music Training for the Development of Reading Skills. Progress in brain research. 207. 209–241. 110 indexed citations
17.
Parbery‐Clark, Alexandra, Adam Tierney, Dana L. Strait, & Nina Kraus. (2012). Musicians have fine-tuned neural distinction of speech syllables. Neuroscience. 219. 111–119. 100 indexed citations
18.
Dick, Frederic, Adam Tierney, Antoine Lutti, et al.. (2012). In VivoFunctional and Myeloarchitectonic Mapping of Human Primary Auditory Areas. Journal of Neuroscience. 32(46). 16095–16105. 164 indexed citations
19.
Tierney, Adam, Frank Russo, & Aniruddh D. Patel. (2011). The motor origins of human and avian song structure. Proceedings of the National Academy of Sciences. 108(37). 15510–15515. 56 indexed citations
20.
Tierney, Adam, Tonya R. Bergeson, & David B. Pisoni. (2008). Effects of Early Musical Experience on Auditory Sequence Memory. SHILAP Revista de lepidopterología. 3(4). 178–186. 66 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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