Julie Liss

216 total papers · 4.4k total citations
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, Rene L. Utianski, Shira Hahn 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

123 papers receiving 2.6k citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julie Liss 1.2k 1.2k 747 723 512 135 2.8k
Kris Tjaden 1.3k 1.1× 1.7k 1.4× 391 0.5× 474 0.7× 707 1.4× 74 2.3k
Adam P. Vogel 539 0.4× 951 0.8× 697 0.9× 482 0.7× 539 1.1× 192 3.7k
Christopher Dromey 941 0.8× 1.7k 1.4× 325 0.4× 420 0.6× 831 1.6× 65 2.3k
Jordan R. Green 1.4k 1.1× 1.6k 1.3× 945 1.3× 746 1.0× 1.4k 2.7× 178 4.7k
Shimon Sapir 1.0k 0.9× 2.5k 2.1× 617 0.8× 411 0.6× 1.4k 2.7× 64 3.6k
Frederic L. Darley 1.2k 1.0× 1.5k 1.3× 1.2k 1.6× 319 0.4× 662 1.3× 58 3.4k
Yana Yunusova 631 0.5× 1.2k 1.0× 310 0.4× 317 0.4× 1.1k 2.2× 115 2.7k
Pascal van Lieshout 1.2k 1.0× 507 0.4× 1.2k 1.6× 262 0.4× 529 1.0× 116 2.7k
Tanya L. Eadie 1.2k 1.0× 2.3k 1.9× 317 0.4× 458 0.6× 1.3k 2.6× 71 3.1k
Cara E. Stepp 1.0k 0.8× 1.5k 1.2× 616 0.8× 370 0.5× 791 1.5× 153 2.4k

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

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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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