D.A. Reynolds

9.2k total citations · 4 hit papers
53 papers, 6.1k citations indexed

About

D.A. Reynolds is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, D.A. Reynolds has authored 53 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 44 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in D.A. Reynolds's work include Speech Recognition and Synthesis (47 papers), Speech and Audio Processing (41 papers) and Music and Audio Processing (35 papers). D.A. Reynolds is often cited by papers focused on Speech Recognition and Synthesis (47 papers), Speech and Audio Processing (41 papers) and Music and Audio Processing (35 papers). D.A. Reynolds collaborates with scholars based in United States, Canada and Czechia. D.A. Reynolds's co-authors include Richard C. Rose, William M. Campbell, Douglas Sturim, S.E. Tranter, Pedro A. Torres‐Carrasquillo, Joseph P. Campbell, Thomas F. Quatieri, Elliot Singer, Mike Plumpe and André Adami and has published in prestigious journals such as Energy Policy, IEEE Signal Processing Magazine and IEEE Signal Processing Letters.

In The Last Decade

D.A. Reynolds

53 papers receiving 5.4k citations

Hit Papers

Robust text-independent speaker identification using Gaus... 1995 2026 2005 2015 1995 2006 2006 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.A. Reynolds United States 31 5.0k 4.9k 854 290 162 53 6.1k
Ron J. Weiss United States 31 3.9k 0.8× 3.8k 0.8× 1.2k 1.4× 328 1.1× 327 2.0× 53 6.2k
Aren Jansen United States 24 2.2k 0.4× 3.2k 0.7× 1.5k 1.8× 373 1.3× 88 0.5× 68 4.6k
Chung‐Cheng Chiu Taiwan 21 3.8k 0.8× 2.8k 0.6× 891 1.0× 256 0.9× 45 0.3× 74 5.3k
Sadaoki Furui Japan 33 4.4k 0.9× 3.5k 0.7× 883 1.0× 347 1.2× 132 0.8× 273 5.4k
Patrick Kenny Canada 38 7.2k 1.4× 6.7k 1.4× 628 0.7× 282 1.0× 94 0.6× 203 8.7k
Jort F. Gemmeke Belgium 20 1.7k 0.3× 3.4k 0.7× 1.5k 1.8× 287 1.0× 56 0.3× 85 4.5k
S. Davis United States 3 2.4k 0.5× 2.8k 0.6× 537 0.6× 397 1.4× 29 0.2× 5 3.6k
Colin Raffel United States 18 2.1k 0.4× 1.6k 0.3× 1.2k 1.4× 312 1.1× 155 1.0× 41 3.9k
Mathew Magimai.-Doss Switzerland 25 2.2k 0.4× 1.9k 0.4× 727 0.9× 360 1.2× 90 0.6× 180 3.8k
Tomi Kinnunen Finland 35 5.0k 1.0× 5.0k 1.0× 930 1.1× 202 0.7× 240 1.5× 169 6.0k

Countries citing papers authored by D.A. Reynolds

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Reynolds. 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 D.A. Reynolds. The network helps show where D.A. Reynolds may publish in the future.

Co-authorship network of co-authors of D.A. Reynolds

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

All Works

20 of 20 papers shown
1.
Campbell, William M., Douglas Sturim, Wade Shen, D.A. Reynolds, & Jiří Navrátil. (2007). The MIT-LL/IBM 2006 Speaker Recognition System: High-Performance Reduced-Complexity Recognition. IV–217. 17 indexed citations
2.
Campbell, William M., et al.. (2007). Language Recognition with Word Lattices and Support Vector Machines. 41 indexed citations
3.
Reynolds, D.A., et al.. (2006). The 2004 MIT Lincoln Laboratory Speaker Recognition System. 1. 177–180. 30 indexed citations
4.
Tranter, S.E. & D.A. Reynolds. (2006). An overview of automatic speaker diarization systems. IEEE Transactions on Audio Speech and Language Processing. 14(5). 1557–1565. 360 indexed citations breakdown →
5.
Shen, Wade, William M. Campbell, Terry Gleason, D.A. Reynolds, & Elliot Singer. (2006). Experiments with Lattice-based PPRLM Language Identification. 1–6. 32 indexed citations
6.
Campbell, William M., Joseph P. Campbell, D.A. Reynolds, Elliot Singer, & Pedro A. Torres‐Carrasquillo. (2005). Support vector machines for speaker and language recognition. Computer Speech & Language. 20(2-3). 210–229. 356 indexed citations
7.
Campbell, William M., et al.. (2004). High-level speaker verification with support vector machines. 1. I–73. 41 indexed citations
8.
Reynolds, D.A. & Pedro A. Torres‐Carrasquillo. (2004). The MIT Lincoln Laboratory RT-04F Diarization Systems: Applications to Broadcast Audio and Telephone Conversations. 32 indexed citations
9.
Reynolds, D.A. & M.A. Zissman. (2003). Automatic speaker and language recognition. 5. 9–9. 2 indexed citations
10.
Reynolds, D.A.. (2003). Channel robust speaker verification via feature mapping. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–53. 155 indexed citations
11.
Jankowski, Charles, Thomas F. Quatieri, & D.A. Reynolds. (2002). Formant AM-FM for speaker identification. 608–611. 2 indexed citations
12.
Quatieri, Thomas F., D.A. Reynolds, & G.C. O'Leary. (2002). Magnitude-only estimation of handset nonlinearity with application to speaker recognition. 2. 745–748. 7 indexed citations
13.
Quatieri, Thomas F., D.A. Reynolds, & G.C. O'Leary. (2000). Estimation of handset nonlinearity with application to speaker recognition. IEEE Transactions on Speech and Audio Processing. 8(5). 567–584. 41 indexed citations
14.
Plumpe, Mike, Thomas F. Quatieri, & D.A. Reynolds. (1999). Modeling of the glottal flow derivative waveform with application to speaker identification. IEEE Transactions on Speech and Audio Processing. 7(5). 569–586. 203 indexed citations
15.
Smith, Michael, et al.. (1997). Habitat Selection Patterns of Feral Horses in Southcentral Wyoming. Journal of Range Management. 50(4). 374–374. 55 indexed citations
16.
Reynolds, D.A. & Richard C. Rose. (1995). Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing. 3(1). 72–83. 1955 indexed citations breakdown →
17.
Reynolds, D.A.. (1994). Experimental evaluation of features for robust speaker identification. IEEE Transactions on Speech and Audio Processing. 2(4). 639–643. 197 indexed citations
18.
Quatieri, Thomas F., Charles Jankowski, & D.A. Reynolds. (1994). Energy onset times for speaker identification. IEEE Signal Processing Letters. 1(11). 160–162. 7 indexed citations
19.
Reynolds, D.A. & Richard C. Rose. (1992). An integrated speech-background model for robust speaker identification. 39. 185–188 vol.2. 7 indexed citations
20.
Keymer, I. F., Edward Gibson, & D.A. Reynolds. (1991). Zoonoses and other findings in hedgehogs (Erinaceus europaeus): a survey of mortality and review of the literature. Veterinary Record. 128(11). 245–249. 70 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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