R.B. Dunn

4.8k total citations · 1 hit paper
27 papers, 3.3k citations indexed

About

R.B. Dunn is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, R.B. Dunn has authored 27 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 15 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in R.B. Dunn's work include Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (15 papers) and Music and Audio Processing (11 papers). R.B. Dunn is often cited by papers focused on Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (15 papers) and Music and Audio Processing (11 papers). R.B. Dunn collaborates with scholars based in United States. R.B. Dunn's co-authors include Thomas F. Quatieri, Douglas A. Reynolds, Joseph P. Campbell, D.A. Reynolds, Douglas Sturim, J. Kaiser, Thomas E. Hanna, William M. Campbell, Elliot Singer and Bengt Borgström and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing, Digital Signal Processing and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

R.B. Dunn

27 papers receiving 3.0k citations

Hit Papers

Speaker Verification Using Adapted Gaussian Mixture Models 2000 2026 2008 2017 2000 500 1000 1.5k 2.0k 2.5k

Peers

R.B. Dunn
Comparison fields: 5 of 115
  • Artificial Intelligence 2.6k
  • Signal Processing 2.6k
  • Computer Vision and Pattern Recognition 600
  • Experimental and Cognitive Psychology 135
  • Biomedical Engineering 101
Replace Yasuo Ariki with:
Yasuo Ariki Japan
Zhizheng Wu China
Pierre Dumouchel Canada
Pierre Ouellet Canada
Yanmin Qian China
George Saon United States
Md Sahidullah Finland
Massimiliano Todisco France
Yifan Gong United States
J.-L. Gauvain France
Yasuo Ariki Japan View profile →
Citations per field, relative to R.B. Dunn
R.B. Dunn · 1×
Citations per year, relative to R.B. Dunn
R.B. Dunn · 1×

Countries citing papers authored by R.B. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by R.B. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.B. Dunn. 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 R.B. Dunn. The network helps show where R.B. Dunn may publish in the future.

Co-authorship network of co-authors of R.B. Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of R.B. Dunn. A scholar is included among the top collaborators of R.B. Dunn 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 R.B. Dunn. R.B. Dunn 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
# Work Indexed citations
1 4
2
Exploring the impact of advanced front-end processing on NIST speaker recognition microphone tasks.
3
3 3
4 3
5 17
6
Fusing High- and Low-Level Features for Speaker Recognitionx
43
7 32
8 4
9 22
10 2
11 52
12 1
13 3
14
Speaker recognition from coded speech in matched and mismatched conditions.
13
15
Speaker Verification Using Adapted Gaussian Mixture Models breakdown →
2950
16 30
17 14
18 12
19 27
20 4

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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