Julie Liss

4.4k total citations · 1 hit paper
135 papers, 2.8k citations indexed

About

Julie Liss is a scholar working on Physiology, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Julie Liss has authored 135 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Physiology, 62 papers in Experimental and Cognitive Psychology and 56 papers in Artificial Intelligence. Recurrent topics in Julie Liss's work include Voice and Speech Disorders (66 papers), Phonetics and Phonology Research (60 papers) and Speech Recognition and Synthesis (47 papers). Julie Liss is often cited by papers focused on Voice and Speech Disorders (66 papers), Phonetics and Phonology Research (60 papers) and Speech Recognition and Synthesis (47 papers). Julie Liss collaborates with scholars based in United States, New Zealand and United Kingdom. Julie Liss's co-authors include Visar Berisha, Kaitlin L. Lansford, Stephanie M. Spitzer, John N. Caviness, Charles H. Adler, Stephanie A. Borrie, Megan J. McAuliffe, Shira Hahn, Rene L. Utianski and Andrew J. Lotto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Julie Liss

126 papers receiving 2.7k citations

Hit Papers

Digital medicine and the ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie Liss United States 30 1.2k 1.2k 755 729 514 135 2.8k
Adam P. Vogel Australia 34 963 0.8× 541 0.4× 700 0.9× 486 0.7× 547 1.1× 193 3.7k
Yana Yunusova Canada 32 1.2k 1.0× 634 0.5× 311 0.4× 318 0.4× 1.1k 2.2× 115 2.7k
Jan Rusz Czechia 30 2.2k 1.8× 616 0.5× 305 0.4× 733 1.0× 820 1.6× 119 3.2k
Sabine Skodda Germany 25 1.6k 1.3× 612 0.5× 206 0.3× 452 0.6× 552 1.1× 58 2.1k
Jennifer Spielman United States 15 1.8k 1.5× 515 0.4× 203 0.3× 762 1.0× 658 1.3× 23 2.4k
Juan Rafael Orozco‐Arroyave Colombia 29 1.7k 1.4× 530 0.4× 267 0.4× 1.2k 1.7× 358 0.7× 154 2.8k
Aileen K. Ho United Kingdom 21 854 0.7× 293 0.2× 348 0.5× 155 0.2× 286 0.6× 57 2.6k
R.J. Baken United States 17 1.6k 1.3× 1.2k 1.0× 200 0.3× 719 1.0× 640 1.2× 42 2.3k
Malcolm R. McNeil United States 30 415 0.3× 730 0.6× 2.3k 3.1× 152 0.2× 164 0.3× 107 3.0k
Heidi Christensen United Kingdom 24 489 0.4× 316 0.3× 261 0.3× 1.1k 1.5× 59 0.1× 122 1.9k

Countries citing papers authored by Julie Liss

Since Specialization
Citations

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

Fields of papers citing papers by Julie Liss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Liss

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Liss. A scholar is included among the top collaborators of Julie Liss 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 Julie Liss. Julie Liss 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.
Zhang, Jianwei, Abdelmohaymin Abdalla, Adam J. Brown, et al.. (2025). 360 Using machine learning to analyze voice and detect aspiration. Journal of Clinical and Translational Science. 9(s1). 111–111.
2.
Xu, Lingfeng, Visar Berisha, Rene L. Utianski, & Julie Liss. (2025). Evaluating Model Interpretability in Speech-Based Clinical Artificial Intelligence Systems. Perspectives of the ASHA Special Interest Groups. 10(5). 1637–1648.
3.
Xu, Lingfeng, et al.. (2022). Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech. Interspeech 2022. 2022. 2263–2267. 3 indexed citations
4.
Koscik, Rebecca L., et al.. (2021). Spatio-Semantic Graphs From Picture Description: Applications to Detection of Cognitive Impairment. Frontiers in Neurology. 12. 795374–795374. 7 indexed citations
5.
Scherer, Nancy J., et al.. (2021). An Attention Model for Hypernasality Prediction in Children with Cleft Palate. 7248–7252. 5 indexed citations
6.
Tripathi, Ayush, et al.. (2019). Robust Estimation of Hypernasality in Dysarthria.. arXiv (Cornell University). 1 indexed citations
7.
Liss, Julie, et al.. (2019). A Review of Language and Speech Features for Cognitive-Linguistic Assessment.. arXiv (Cornell University). 1 indexed citations
8.
Liss, Julie, et al.. (2019). Investigating the Effects of Word Substitution Errors on Sentence Embeddings. PubMed. 2019. 7315–7319. 7 indexed citations
9.
Liss, Julie, et al.. (2019). Objective Measures of Plosive Nasalization in Hypernasal Speech. PubMed. 2019. 6520–6524. 11 indexed citations
11.
McAuliffe, Megan J., et al.. (2017). Assessing Vowel Centralization in Dysarthria: A Comparison of Methods. Journal of Speech Language and Hearing Research. 60(2). 341–354. 32 indexed citations
12.
Berisha, Visar, et al.. (2015). Convex Weighting Criteria for Speaking Rate Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(9). 1421–1430. 16 indexed citations
13.
Utianski, Rene L., John N. Caviness, & Julie Liss. (2014). Cortical characterization of the perception of intelligible and unintelligible speech measured via high-density electroencephalography. Brain and Language. 140. 49–54. 3 indexed citations
14.
Sandoval, Steven, Visar Berisha, Rene L. Utianski, Julie Liss, & Andreas Spanias. (2013). Automatic assessment of vowel space area. The Journal of the Acoustical Society of America. 134(5). EL477–EL483. 62 indexed citations
15.
Liss, Julie, Stephanie M. Spitzer, Kaitlin L. Lansford, et al.. (2007). Quantifying speech rhythm deficits in dysarthria. The Journal of the Acoustical Society of America. 121(5_Supplement). 3134–3135. 2 indexed citations
16.
McHenry, Monica A. & Julie Liss. (2006). The Impact of Stimulated Vocal Loudness on Nasalance in Dysarthria. 14(3). 197–205. 9 indexed citations
17.
Spitzer, Stephanie M., Julie Liss, John N. Caviness, & Charles H. Adler. (2000). An exploration of familiarization effects in the perception of hypokinetic and ataxic dysarthric speech. 8(4). 285–293. 23 indexed citations
18.
Liss, Julie, Stephanie M. Spitzer, John N. Caviness, Charles H. Adler, & Brian Edwards. (1998). Syllabic strength and lexical boundary decisions in the perception of hypokinetic dysarthric speech. The Journal of the Acoustical Society of America. 104(4). 2457–2466. 86 indexed citations
19.
Liss, Julie, et al.. (1993). Writing-to-Learn in Science.. The journal of college science teaching. 22(6). 6 indexed citations
20.
Liss, Julie. (1990). Muscle Spindles in the Human Levator Veli Palatini and Palatoglossus Muscles. Journal of Speech Language and Hearing Research. 33(4). 736–746. 29 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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