Rachel M. Theodore

1.1k total citations
65 papers, 664 citations indexed

About

Rachel M. Theodore is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Rachel M. Theodore has authored 65 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Experimental and Cognitive Psychology, 24 papers in Cognitive Neuroscience and 21 papers in Artificial Intelligence. Recurrent topics in Rachel M. Theodore's work include Phonetics and Phonology Research (50 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (16 papers). Rachel M. Theodore is often cited by papers focused on Phonetics and Phonology Research (50 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (16 papers). Rachel M. Theodore collaborates with scholars based in United States, Australia and Canada. Rachel M. Theodore's co-authors include Joanne L. Miller, Emily B. Myers, David DeSteno, Katherine Demuth, Linda Polka, Adriel John Orena, Christian E. Stilp, Sahil Luthra, Xin Xie and Stephen Graham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Rachel M. Theodore

58 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel M. Theodore United States 16 504 307 192 174 172 65 664
Joseph C. Toscano United States 14 583 1.2× 442 1.4× 126 0.7× 160 0.9× 228 1.3× 34 801
Meghan Clayards Canada 15 700 1.4× 303 1.0× 312 1.6× 284 1.6× 174 1.0× 50 802
Volker Dellwo Switzerland 16 604 1.2× 190 0.6× 263 1.4× 391 2.2× 92 0.5× 98 820
Melissa A. Redford United States 13 389 0.8× 157 0.5× 131 0.7× 147 0.8× 259 1.5× 55 548
Eun Jong Kong South Korea 11 430 0.9× 156 0.5× 222 1.2× 194 1.1× 110 0.6× 33 523
Alexandra Jesse United States 16 511 1.0× 451 1.5× 84 0.4× 82 0.5× 197 1.1× 44 685
Sam Tilsen United States 13 484 1.0× 190 0.6× 173 0.9× 230 1.3× 152 0.9× 59 607
Kanae Nishi United States 14 599 1.2× 244 0.8× 324 1.7× 233 1.3× 199 1.2× 29 738
Anne Pier Salverda United States 9 517 1.0× 435 1.4× 105 0.5× 169 1.0× 272 1.6× 14 671

Countries citing papers authored by Rachel M. Theodore

Since Specialization
Citations

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

Fields of papers citing papers by Rachel M. Theodore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel M. Theodore

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel M. Theodore. A scholar is included among the top collaborators of Rachel M. Theodore 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 Rachel M. Theodore. Rachel M. Theodore 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.
Theodore, Rachel M., et al.. (2024). Estrategias educativas en sectores populares de Santiago: elección escolar, segregación residencial y Ley de Inclusión. urbe Revista Brasileira de Gestão Urbana. 16. 1 indexed citations
2.
Theodore, Rachel M., et al.. (2023). Talker adaptation or “talker” adaptation? Musical instrument variability impedes pitch perception. Attention Perception & Psychophysics. 85(7). 2488–2501. 1 indexed citations
3.
Pisoni, David B., et al.. (2023). Validation of two measures for assessing English vocabulary knowledge on web-based testing platforms: long-form assessments. Linguistics Vanguard. 9(1). 113–124. 3 indexed citations
4.
Luthra, Sahil, et al.. (2023). Using TMS to evaluate a causal role for right posterior temporal cortex in talker-specific phonetic processing. Brain and Language. 240. 105264–105264. 2 indexed citations
5.
Theodore, Rachel M., et al.. (2022). Context effects in perception of vowels differentiated by F1 are not influenced by variability in talkers' mean F1 or F3. The Journal of the Acoustical Society of America. 152(1). 55–66. 4 indexed citations
6.
Theodore, Rachel M., et al.. (2022). Perceptual learning of multiple talkers: Determinants, characteristics, and limitations. Attention Perception & Psychophysics. 84(7). 2335–2359. 2 indexed citations
7.
Theodore, Rachel M., et al.. (2022). Talker adaptation or “talker” adaptation? Musical instrument variability impedes pitch perception. The Journal of the Acoustical Society of America. 151(4_Supplement). A222–A222. 2 indexed citations
8.
Francis, Alexander L., et al.. (2022). Revisiting the left ear advantage for phonetic cues to talker identification. The Journal of the Acoustical Society of America. 152(5). 3107–3123. 1 indexed citations
9.
Theodore, Rachel M., et al.. (2022). Do individual differences in lexical reliance reflect states or traits?. Cognition. 232. 105320–105320. 3 indexed citations
10.
Nygaard, Lynne C., et al.. (2021). A second chance for a first impression: Sensitivity to cumulative input statistics for lexically guided perceptual learning. Psychonomic Bulletin & Review. 28(3). 1003–1014. 14 indexed citations
11.
Magnuson, James S., Jay G. Rueckl, Paul D. Allopenna, et al.. (2019). EARSHOT: A minimal network model of human speech recognition that operates on real speech.. Cognitive Science. 2248–2253. 1 indexed citations
12.
Theodore, Rachel M., et al.. (2019). Structured phonetic variation facilitates talker identification. The Journal of the Acoustical Society of America. 145(6). EL469–EL475. 4 indexed citations
13.
Theodore, Rachel M., et al.. (2019). Distributional learning for speech reflects cumulative exposure to a talker’s phonetic distributions. Psychonomic Bulletin & Review. 26(3). 985–992. 27 indexed citations
14.
Theodore, Rachel M., et al.. (2018). Reduced Phonemic Convergence in Autism Spectrum Disorder.. Cognitive Science.
15.
Theodore, Rachel M., et al.. (2018). Contextual Influences on Phonetic Categorization in School-Aged Children. Frontiers in Communication. 3. 2 indexed citations
16.
Theodore, Rachel M., et al.. (2018). Lexically guided perceptual learning is robust to task-based changes in listening strategy. The Journal of the Acoustical Society of America. 144(2). 1089–1099. 17 indexed citations
17.
Skoe, Erika, et al.. (2016). Reading ability reflects individual differences in auditory brainstem function, even into adulthood. Brain and Language. 164. 25–31. 11 indexed citations
18.
Theodore, Rachel M. & Joanne L. Miller. (2010). Characteristics of listener sensitivity to talker-specific phonetic detail. The Journal of the Acoustical Society of America. 128(4). 2090–2099. 47 indexed citations
19.
Theodore, Rachel M., Joanne L. Miller, & David DeSteno. (2007). THE EFFECT OF SPEAKING RATE ON VOICE-ONSET-TIME IS TALKER-SPECIFIC. 1(8526). 193–4. 6 indexed citations
20.
Theodore, Rachel M., et al.. (1990). Age-related changes in mental processing revealed by analyses of event-related brain potentials.. 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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