M.S. Brandstein

3.7k total citations · 1 hit paper
41 papers, 2.2k citations indexed

About

M.S. Brandstein is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, M.S. Brandstein has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 21 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in M.S. Brandstein's work include Speech and Audio Processing (33 papers), Advanced Adaptive Filtering Techniques (21 papers) and Hearing Loss and Rehabilitation (9 papers). M.S. Brandstein is often cited by papers focused on Speech and Audio Processing (33 papers), Advanced Adaptive Filtering Techniques (21 papers) and Hearing Loss and Rehabilitation (9 papers). M.S. Brandstein collaborates with scholars based in United States, Australia and United Kingdom. M.S. Brandstein's co-authors include D.B. Ward, H.F. Silverman, Harvey F. Silverman, John Adcock, Ce Wang, Bengt Borgström, Douglas Sturim, Thomas F. Quatieri, Daniel Z. Freedman and Kevin Brady and has published in prestigious journals such as The Journal of the Acoustical Society of America, International Journal of Computer Vision and Neural Networks.

In The Last Decade

M.S. Brandstein

40 papers receiving 2.0k citations

Hit Papers

Microphone Arrays Signal Processing Techniques and Applic... 2001 2026 2009 2017 2001 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Microphone Arrays Signal Processing Techniques and Applications
    2001 756 citations M.S. Brandstein, D.B. Ward Springer eBooks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.S. Brandstein United States 17 1.9k 996 670 330 251 41 2.2k
Gary W. Elko United States 18 2.0k 1.0× 971 1.0× 602 0.9× 265 0.8× 783 3.1× 73 2.5k
Nobutaka Ono Japan 30 2.8k 1.5× 1.3k 1.3× 440 0.7× 524 1.6× 197 0.8× 263 3.4k
Fabio Antonacci Italy 24 1.7k 0.9× 460 0.5× 483 0.7× 360 1.1× 383 1.5× 183 2.3k
D.B. Ward Australia 17 2.1k 1.1× 1.2k 1.2× 493 0.7× 205 0.6× 629 2.5× 56 2.5k
Maurizio Omologo Italy 24 1.8k 1.0× 601 0.6× 524 0.8× 889 2.7× 101 0.4× 119 2.2k
Piergiorgio Svaizer Italy 20 1.1k 0.6× 524 0.5× 411 0.6× 308 0.9× 94 0.4× 62 1.3k
D. A. Berkley United States 13 2.8k 1.5× 1.7k 1.7× 580 0.9× 392 1.2× 642 2.6× 27 3.4k
Máximo Cobos Spain 20 906 0.5× 252 0.3× 325 0.5× 155 0.5× 174 0.7× 104 1.3k
Shoji Makino Japan 35 4.5k 2.4× 2.9k 2.9× 259 0.4× 609 1.8× 297 1.2× 260 4.8k
Walter Kellermann Germany 33 4.3k 2.2× 2.9k 2.9× 407 0.6× 702 2.1× 764 3.0× 283 4.7k

Countries citing papers authored by M.S. Brandstein

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Brandstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Brandstein. 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 M.S. Brandstein. The network helps show where M.S. Brandstein may publish in the future.

Co-authorship network of co-authors of M.S. Brandstein

This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Brandstein. A scholar is included among the top collaborators of M.S. Brandstein 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 M.S. Brandstein. M.S. Brandstein 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.
Borgström, Bengt & M.S. Brandstein. (2024). A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2418–2431. 2 indexed citations
2.
3.
Borgström, Bengt, M.S. Brandstein, Gregory Ciccarelli, Thomas F. Quatieri, & Christopher J. Smalt. (2021). Speaker separation in realistic noise environments with applications to a cognitively-controlled hearing aid. Neural Networks. 140. 136–147. 15 indexed citations
4.
Borgström, Bengt & M.S. Brandstein. (2020). The Speech Enhancement via Attention Masking Network (SEAMNET): An End-to-end System for Joint Suppression of Noise and Reverberation. IEEE/ACM Transactions on Audio Speech and Language Processing. 1–1. 28 indexed citations
5.
Borgström, Bengt, M.S. Brandstein, & R.B. Dunn. (2018). Improving Statistical Model-Based Speech Enhancement with Deep Neural Networks. 4. 471–475. 4 indexed citations
6.
Brandstein, M.S., et al.. (2018). American Sign Language Recognition and Translation Feasibility Study. ePrints Soton (University of Southampton). 1 indexed citations
7.
Richardson, Fred, et al.. (2016). Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation. 2796–2800. 3 indexed citations
8.
Brady, Kevin, et al.. (2004). Automated lip-reading for improved speech intelligibility. 1. I–701. 3 indexed citations
9.
Ward, D.B. & M.S. Brandstein. (2003). Grid-based beamformer design for room-environment microphone arrays. 23–26. 2 indexed citations
10.
Brandstein, M.S., et al.. (2002). Microphone array source localization using realizable delay vectors. 71–74. 24 indexed citations
11.
Brandstein, M.S., John Adcock, & H.F. Silverman. (2002). A closed-form method for finding source locations from microphone-array time-decay estimates. 5. 3019–3022. 32 indexed citations
12.
Brandstein, M.S., et al.. (2002). A microphone array system for speech source localization, denoising, and dereverberation. 6 indexed citations
13.
Wang, Ce & M.S. Brandstein. (2002). Robust head pose estimation by machine learning. 210–213. 4 indexed citations
14.
Wang, Ce & M.S. Brandstein. (2002). A hybrid real-time face tracking system. 6. 3737–3740. 50 indexed citations
15.
Brandstein, M.S.. (2002). A pitch-based approach to time-delay estimation of reverberant speech. 4–4. 29 indexed citations
16.
Brandstein, M.S. & D.B. Ward. (2001). Microphone Arrays Signal Processing Techniques and Applications. Springer eBooks. 756 indexed citations breakdown →
17.
Wang, Ce, et al.. (2001). Real-Time Automated Video and Audio Capture with Multiple Cameras and Microphones. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 29(1-2). 81–99. 10 indexed citations
18.
Brandstein, M.S., John Adcock, & H.F. Silverman. (1997). A closed-form location estimator for use with room environment microphone arrays. IEEE Transactions on Speech and Audio Processing. 5(1). 45–50. 210 indexed citations
19.
Brandstein, M.S.. (1995). A framework for speech source localization using sensor arrays. 85 indexed citations
20.
Adcock, John, et al.. (1994). Practical issues in the use of a frequency-domain delay estimator for microphone-array applications. The Journal of the Acoustical Society of America. 96(5_Supplement). 3244–3244. 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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