Elizabeth Salesky

23 papers and 255 indexed citations i.

About

Elizabeth Salesky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Elizabeth Salesky has authored 23 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Elizabeth Salesky’s work include Natural Language Processing Techniques (22 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (15 papers). Elizabeth Salesky is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (15 papers). Elizabeth Salesky collaborates with scholars based in United States, Germany and Switzerland. Elizabeth Salesky's co-authors include Alan W. Black, Ryan Cotterell, Matthias Sperber, Jan Niehues, Clara Meister, Matt Post, Matthew Wiesner, Matteo Negri, Alexander Waibel and Marco Turchi and has published in prestigious journals such as Machine Translation, Minerva Access (University of Melbourne) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Elizabeth Salesky i

Fields of papers citing papers by Elizabeth Salesky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elizabeth Salesky

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025