Kate Knill

44 papers and 468 indexed citations i.

About

Kate Knill is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kate Knill has authored 44 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kate Knill’s work include Speech Recognition and Synthesis (36 papers), Natural Language Processing Techniques (20 papers) and Speech and Audio Processing (17 papers). Kate Knill is often cited by papers focused on Speech Recognition and Synthesis (36 papers), Natural Language Processing Techniques (20 papers) and Speech and Audio Processing (17 papers). Kate Knill collaborates with scholars based in United Kingdom, United States and Japan. Kate Knill's co-authors include Mark Gales, Anton Ragni, Shakti P. Rath, Philip C. Woodland, Andrey Malinin, Konstantinos G. Kyriakopoulos, Haipeng Wang, K. K. Chin, Masami Akamine and Michael Picheny and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and White Rose Research Online (University of Leeds).

In The Last Decade

Co-authorship network of co-authors of Kate Knill i

Fields of papers citing papers by Kate Knill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kate Knill

Since Specialization
Citations

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

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2025