David Huggins-Daines

6 papers and 145 indexed citations i.

About

David Huggins-Daines is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, David Huggins-Daines has authored 6 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Signal Processing and 0 papers in Industrial relations. Recurrent topics in David Huggins-Daines’s work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Music and Audio Processing (4 papers). David Huggins-Daines is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Music and Audio Processing (4 papers). David Huggins-Daines collaborates with scholars based in United States. David Huggins-Daines's co-authors include Alexander I. Rudnicky, A.C.K. Chan, Mohit Kumar, Alan W. Black, Mosur Ravishankar and Rong Zhang and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), Meeting of the Association for Computational Linguistics and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of David Huggins-Daines i

Fields of papers citing papers by David Huggins-Daines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Huggins-Daines. 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 David Huggins-Daines. The network helps show where David Huggins-Daines may publish in the future.

Countries citing papers authored by David Huggins-Daines

Since Specialization
Citations

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