David Huggins-Daines

549 total citations
9 papers, 327 citations indexed

About

David Huggins-Daines is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, David Huggins-Daines has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in David Huggins-Daines's work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (5 papers) and Speech and dialogue systems (4 papers). David Huggins-Daines is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (5 papers) and Speech and dialogue systems (4 papers). David Huggins-Daines collaborates with scholars based in United States, Canada and Ireland. David Huggins-Daines's co-authors include Alexander I. Rudnicky, Alan W. Black, Mosur Ravishankar, Mohit Kumar, A.C.K. Chan, Dan Bohus, Rohit Kumar, Antoine Raux, Rong Zhang and Eddie Antonio Santos and has published in prestigious journals such as Figshare and Meeting of the Association for Computational Linguistics.

In The Last Decade

David Huggins-Daines

8 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Huggins-Daines United States	5	196	103	70	36	32	9	327
Mohit Kumar United States	4	167 0.9×	90 0.9×	68 1.0×	39 1.1×	32 1.0×	14	314
Philip Kwok United States	4	238 1.2×	119 1.2×	66 0.9×	22 0.6×	26 0.8×	7	381
Willie Walker United Kingdom	2	211 1.1×	105 1.0×	53 0.8×	17 0.5×	25 0.8×	5	298
Evandro Gouvêa United States	9	328 1.7×	213 2.1×	86 1.2×	23 0.6×	37 1.2×	17	461
Vlado Delić Serbia	11	169 0.9×	144 1.4×	102 1.5×	45 1.3×	14 0.4×	66	403
Shoji Kajita Japan	11	101 0.5×	186 1.8×	68 1.0×	23 0.6×	38 1.2×	50	325
Mosur Ravishankar United States	10	319 1.6×	170 1.7×	112 1.6×	148 4.1×	48 1.5×	18	578
Babak Naderi Germany	10	106 0.5×	154 1.5×	74 1.1×	24 0.7×	18 0.6×	37	322
Johan Schalkwyk United States	13	447 2.3×	178 1.7×	62 0.9×	9 0.3×	23 0.7×	41	578
Mohammad Inayatullah Babar Pakistan	8	171 0.9×	217 2.1×	89 1.3×	55 1.5×	21 0.7×	19	588

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of David Huggins-Daines. A scholar is included among the top collaborators of David Huggins-Daines 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 David Huggins-Daines. David Huggins-Daines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Littell, Patrick, et al.. (2022). Gi22Pi Rule-based, index-preserving grapheme-to-phoneme transformations Rule-based, index-preserving grapheme-to-phoneme transformations. 52–60.

2.

Huggins-Daines, David & Alexander I. Rudnicky. (2009). Combining mixture weight pruning and quantization for small-footprint speech recognition. 4189–4192. 1 indexed citations

3.

Huggins-Daines, David & Alexander I. Rudnicky. (2008). Mixture Pruning and Roughening for Scalable Acoustic Models. Meeting of the Association for Computational Linguistics. 21–24. 3 indexed citations

4.

Huggins-Daines, David & Alexander I. Rudnicky. (2008). Interactive ASR error correction for touchscreen devices. 17–19. 13 indexed citations

5.

Huggins-Daines, David & Alexander I. Rudnicky. (2007). Implicitly supervised language model adaptation for meeting transcription. 73–76. 4 indexed citations

6.

Bohus, Dan, et al.. (2007). Conquest. 9–12. 14 indexed citations

7.

Huggins-Daines, David & Alexander I. Rudnicky. (2006). A constrained baum-welch algorithm for improved phoneme segmentation and efficient training. Figshare. paper 1580–Tue3A1O.2. 5 indexed citations

8.

Huggins-Daines, David, Mohit Kumar, A.C.K. Chan, et al.. (2006). Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices. 1. I–185. 280 indexed citations

9.

Zhang, Rong, et al.. (2005). Investigations on ensemble based semi-supervised acoustic model training. Figshare. 1677–1680. 7 indexed citations

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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