Jeff Bilmes

8 papers and 181 indexed citations i.

About

Jeff Bilmes is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jeff Bilmes has authored 8 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jeff Bilmes’s work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (2 papers) and Neural Networks and Applications (2 papers). Jeff Bilmes is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (2 papers) and Neural Networks and Applications (2 papers). Jeff Bilmes collaborates with scholars based in United States and United Kingdom. Jeff Bilmes's co-authors include Hui Lin, Dimitra Vergyri, Kevin Duh, Andreas Stolcke, Katrin Kirchhoff, Danny Wyatt, Tanzeem Choudhury, Simon King, Amarnag Subramanya and Jonathan Malkin and has published in prestigious journals such as IEEE Signal Processing Magazine, Computer Speech & Language and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Jeff Bilmes i

Fields of papers citing papers by Jeff Bilmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeff Bilmes

Since Specialization
Citations

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