Connie K. So

483 total citations
12 papers, 314 citations indexed

About

Connie K. So is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Signal Processing. According to data from OpenAlex, Connie K. So has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 6 papers in Linguistics and Language and 5 papers in Signal Processing. Recurrent topics in Connie K. So's work include Phonetics and Phonology Research (11 papers), Linguistic Variation and Morphology (6 papers) and Speech and Audio Processing (5 papers). Connie K. So is often cited by papers focused on Phonetics and Phonology Research (11 papers), Linguistic Variation and Morphology (6 papers) and Speech and Audio Processing (5 papers). Connie K. So collaborates with scholars based in Australia, Canada and United States. Connie K. So's co-authors include Catherine T. Best, Alexei Kochetov, Virginie Attina and Nicole Carter and has published in prestigious journals such as The Journal of the Acoustical Society of America, Studies in Second Language Acquisition and Language and Speech.

In The Last Decade

Connie K. So

11 papers receiving 288 citations

Peers

Connie K. So

ECP

CN

DEP

LL

SP

Yueh-chin Chang Taiwan

Yen-Chen Hao United States

Lukas Wiget United Kingdom

Karin Wanrooij Netherlands

Karen E. Mulak Australia

Catherine Best United States

Alejandrina Cristià France

Xin Xie United States

Rory Turnbull United States

J. Sean Allen United States

Yueh-chin Chang Taiwan

Connie K. So

258 ×0.9

ECP

126 ×0.9

CN

82 ×0.7

DEP

65 ×0.7

LL

68 ×1.3

SP

Citations per year, relative to Connie K. So Connie K. So (= 1×) peers Yueh-chin Chang

Countries citing papers authored by Connie K. So

Since Specialization

Citations

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

Fields of papers citing papers by Connie K. So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie K. So. 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 Connie K. So. The network helps show where Connie K. So may publish in the future.

Co-authorship network of co-authors of Connie K. So

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

All Works

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12 of 12 papers shown

1.

So, Connie K. & Catherine T. Best. (2014). PHONETIC INFLUENCES ON ENGLISH AND FRENCH LISTENERS’ ASSIMILATION OF MANDARIN TONES TO NATIVE PROSODIC CATEGORIES. Studies in Second Language Acquisition. 36(2). 195–221. 67 indexed citations

2.

So, Connie K. & Virginie Attina. (2013). Cross-Language Perception of Cantonese Vowels Spoken by Native and Non-native Speakers. Journal of Psycholinguistic Research. 43(5). 611–630. 1 indexed citations

3.

So, Connie K. & Catherine T. Best. (2011). Categorizing Mandarin tones into listeners’ native prosodic categories: The role of phonetic properties. Poznań Studies in Contemporary Linguistics. 47. 17 indexed citations

4.

So, Connie K. & Catherine T. Best. (2010). Cross-language Perception of Non-native Tonal Contrasts: Effects of Native Phonological and Phonetic Influences. Language and Speech. 53(2). 273–293. 181 indexed citations

5.

So, Connie K. & Catherine T. Best. (2008). Do English speakers assimilate Mandarin tones to English prosodic categories. Conference of the International Speech Communication Association. 1120. 11 indexed citations

6.

So, Connie K.. (2008). THE INFLUENCE OF L1 PROSODIC BACKGROUND ON THE LEARNING OF MANDARIN TONES: PATTERNS OF TONAL CONFUSION BY CANTONESE AND JAPANESE NAÏVE LISTENERS *. 2 indexed citations

7.

Kochetov, Alexei & Connie K. So. (2007). Place assimilation and phonetic grounding: a cross-linguistic perceptual study. Phonology. 24(3). 397–432. 12 indexed citations

8.

So, Connie K.. (2006). Perception of non-native tonal contrasts : effects of native phonological and phonetic influences. 7 indexed citations

9.

Kochetov, Alexei, Connie K. So, & Nicole Carter. (2006). Cantonese and Japanese listeners’ processing of Russian onset and coda stops. The Journal of the Acoustical Society of America. 120(5_Supplement). 3174–3174. 1 indexed citations

10.

Kochetov, Alexei & Connie K. So. (2006). Investigating the relation between place of articulation markedness and perceptual salience. 2 indexed citations

11.

So, Connie K.. (2005). The effect of L1 prosodic backgrounds of Cantonese and Japanese speakers on the perception of Mandarin tones after training. The Journal of the Acoustical Society of America. 117(4_Supplement). 2427–2427. 10 indexed citations

12.

So, Connie K.. (1999). An acoustic analysis of Cantonese rising tones. The Journal of the Acoustical Society of America. 106(4_Supplement). 2153–2153. 3 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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