Julia Tevis McGory

496 total citations
9 papers, 269 citations indexed

About

Julia Tevis McGory is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Julia Tevis McGory has authored 9 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 6 papers in Artificial Intelligence and 3 papers in Language and Linguistics. Recurrent topics in Julia Tevis McGory's work include Phonetics and Phonology Research (7 papers), Speech Recognition and Synthesis (4 papers) and Natural Language Processing Techniques (3 papers). Julia Tevis McGory is often cited by papers focused on Phonetics and Phonology Research (7 papers), Speech Recognition and Synthesis (4 papers) and Natural Language Processing Techniques (3 papers). Julia Tevis McGory collaborates with scholars based in United States. Julia Tevis McGory's co-authors include Ann K. Syrdal, Manuel Díaz‐Campos, Mary E. Beckman, Rebecca Herman, Donna Erickson, Osamu Fujimura and Bryan Pardo and has published in prestigious journals such as The Journal of the Acoustical Society of America, Language and Speech and Language and Linguistics Compass.

In The Last Decade

Julia Tevis McGory

8 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Tevis McGory United States	5	216	135	128	125	27	9	269
Pétur Helgason Sweden	7	221 1.0×	89 0.7×	163 1.3×	118 0.9×	24 0.9×	16	247
Lisa M. Lavoie United States	5	230 1.1×	117 0.9×	178 1.4×	77 0.6×	31 1.1×	8	251
Annie Rialland France	10	180 0.8×	147 1.1×	144 1.1×	146 1.2×	17 0.6×	46	325
Eugenio Martínez Celdrán Spain	9	206 1.0×	161 1.2×	146 1.1×	95 0.8×	15 0.6×	69	248
Péter Siptár Hungary	4	217 1.0×	83 0.6×	118 0.9×	143 1.1×	37 1.4×	10	266
Jörg Peters Germany	9	212 1.0×	134 1.0×	132 1.0×	91 0.7×	40 1.5×	37	276
Darya Kavitskaya United States	8	172 0.8×	94 0.7×	112 0.9×	71 0.6×	23 0.9×	23	208
Bárbara Gili Fivela Italy	11	252 1.2×	158 1.2×	143 1.1×	132 1.1×	25 0.9×	31	331
Tina Cambier-Langeveld Netherlands	7	149 0.7×	60 0.4×	102 0.8×	100 0.8×	23 0.9×	15	188
Erik W. Willis United States	11	236 1.1×	153 1.1×	206 1.6×	65 0.5×	30 1.1×	17	281

Countries citing papers authored by Julia Tevis McGory

Since Specialization

Citations

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

Fields of papers citing papers by Julia Tevis McGory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Tevis McGory. 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 Julia Tevis McGory. The network helps show where Julia Tevis McGory may publish in the future.

Co-authorship network of co-authors of Julia Tevis McGory

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

All Works

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9 of 9 papers shown

1.

McGory, Julia Tevis, et al.. (2020). Linguistics for high schoolers: A summer camp model. Language and Linguistics Compass. 14(11). 1–19. 1 indexed citations

2.

Díaz‐Campos, Manuel & Julia Tevis McGory. (2002). La entonación en el español de América: Un estudio acerca de ocho dialectos hispanoamericanos. IUScholarWorks (Indiana University). 14(18). 3–26. 4 indexed citations

3.

Beckman, Mary E., et al.. (2002). Intonation across Spanish, in the Tones and Break Indices framework. Probus. 14(1). 149 indexed citations

4.

Erickson, Donna, et al.. (2002). An Articulatory and Perceptual Study of Phrasing. 1 indexed citations

5.

Herman, Rebecca & Julia Tevis McGory. (2002). The Conceptual Similarity of Intonational Tones and its Effects on Intertranscriber Reliability. Language and Speech. 45(1). 1–36. 10 indexed citations

6.

McGory, Julia Tevis. (2001). Intonation patterns in productions by Seoul Korean speakers of English. The Journal of the Acoustical Society of America. 110(5_Supplement). 2685–2685. 1 indexed citations

7.

Syrdal, Ann K. & Julia Tevis McGory. (2000). Inter-transcriber reliability of toBI prosodic labeling. vol. 3, 235–238. 81 indexed citations

8.

McGory, Julia Tevis, Rebecca Herman, & Ann K. Syrdal. (1999). Using tone similarity judgments in tests of intertranscriber reliability. The Journal of the Acoustical Society of America. 106(4_Supplement). 2242–2242. 4 indexed citations

9.

McGory, Julia Tevis. (1997). Acquisition of intonational prominence in English by Seoul Korean and Mandarin Chinese speakers /. OhioLink ETD Center (Ohio Library and Information Network). 18 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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