Matthew Wiesner

2.1k total citations · 1 hit paper
37 papers, 1.0k citations indexed

About

Matthew Wiesner is a scholar working on Artificial Intelligence, Signal Processing and Astronomy and Astrophysics. According to data from OpenAlex, Matthew Wiesner has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 14 papers in Signal Processing and 4 papers in Astronomy and Astrophysics. Recurrent topics in Matthew Wiesner's work include Speech Recognition and Synthesis (27 papers), Natural Language Processing Techniques (17 papers) and Speech and Audio Processing (9 papers). Matthew Wiesner is often cited by papers focused on Speech Recognition and Synthesis (27 papers), Natural Language Processing Techniques (17 papers) and Speech and Audio Processing (9 papers). Matthew Wiesner collaborates with scholars based in United States, Czechia and Japan. Matthew Wiesner's co-authors include Shinji Watanabe, Takaaki Hori, Jahn Heymann, Tsubasa Ochiai, Nanxin Chen, Adithya Renduchintala, Shigeki Karita, Yuya Unno, Tomoki Hayashi and Sanjeev Khudanpur and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Computer Speech & Language.

In The Last Decade

Matthew Wiesner

24 papers receiving 974 citations

Hit Papers

align trajectories

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.

ESPnet: End-to-End Speech Processing Toolkit

2018 848 citations Shinji Watanabe, Takaaki Hori et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Wiesner United States	7	960	621	74	49	25	37	1.0k
Hirofumi Inaguma Japan	15	913 1.0×	519 0.8×	81 1.1×	41 0.8×	17 0.7×	35	1.0k
Adithya Renduchintala United States	6	855 0.9×	544 0.9×	89 1.2×	45 0.9×	24 1.0×	17	934
Yuya Unno United States	4	789 0.8×	543 0.9×	65 0.9×	43 0.9×	24 1.0×	5	863
Vimal Manohar United States	15	1.0k 1.1×	749 1.2×	49 0.7×	48 1.0×	28 1.1×	28	1.1k
Suyoun Kim United States	12	1.1k 1.2×	804 1.3×	103 1.4×	48 1.0×	12 0.5×	24	1.3k
Xingyu Na China	5	902 0.9×	671 1.1×	63 0.9×	42 0.9×	25 1.0×	12	968
Tsubasa Ochiai Japan	7	897 0.9×	681 1.1×	71 1.0×	45 0.9×	26 1.0×	11	1.0k
Yossi Adi Israel	15	661 0.7×	395 0.6×	121 1.6×	65 1.3×	14 0.6×	56	838
Pegah Ghahremani United States	12	1.1k 1.2×	901 1.5×	65 0.9×	136 2.8×	42 1.7×	18	1.3k
Torbjørn Svendsen Norway	14	602 0.6×	470 0.8×	73 1.0×	106 2.2×	23 0.9×	73	676

Countries citing papers authored by Matthew Wiesner

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Wiesner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Wiesner. 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 Matthew Wiesner. The network helps show where Matthew Wiesner may publish in the future.

Co-authorship network of co-authors of Matthew Wiesner

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kocour, Martin, Federico Landini, Matthew Wiesner, et al.. (2025). DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition. Computer Speech & Language. 95. 101841–101841.

2.

Wiesner, Matthew, et al.. (2025). The Impact of Automatic Speech Transcription on Speaker Attribution. Transactions of the Association for Computational Linguistics. 13. 1578–1596.

3.

Duh, Kevin, et al.. (2025). HLTCOE Submission to the VoicePrivacy Attacker Challenge. 1–2.

4.

Wiesner, Matthew, et al.. (2025). Target Speaker ASR with Whisper. 1–5. 1 indexed citations

5.

Raj, Desh, et al.. (2024). On Speaker Attribution with SURT. 91–98. 1 indexed citations

6.

Foley, Patrick, et al.. (2024). Where are you from? Geolocating Speech and Applications to Language Identification. 5114–5126. 1 indexed citations

7.

Wiesner, Matthew, et al.. (2024). BUT/JHU System Description for CHiME-8 NOTSOFAR-1 Challenge. 18–22.

8.

Cornell, Samuele, Christoph Boeddeker, Xuankai Chang, et al.. (2024). The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization. 1–6. 8 indexed citations

9.

Verma, Neha, et al.. (2023). JHU IWSLT 2023 Multilingual Speech Translation System Description. 302–310.

10.

Verma, Neha, et al.. (2023). JHU IWSLT 2023 Dialect Speech Translation System Description. 283–290.

11.

Huang, Ruizhe, et al.. (2023). Building Keyword Search System from End-To-End Asr Systems. 7. 1–5. 3 indexed citations

12.

Wiesner, Matthew, et al.. (2023). Towards Zero-Shot Code-Switched Speech Recognition. Edinburgh Research Explorer. 1–5. 11 indexed citations

13.

Fujita, Yuya, et al.. (2021). End-to-end ASR to jointly predict transcriptions and linguistic annotations. 1861–1871. 2 indexed citations

14.

Tucker, D. L., S. Allam, Matthew Wiesner, et al.. (2019). LIGO/Virgo S190814bv: SOAR spectroscopy of 2 DESGW candidates. GRB Coordinates Network. 25379. 1.

15.

Wiesner, Matthew, et al.. (2019). Adaptive Grid Lens Modeling of the Cosmic Horseshoe Using Hubble Space Telescope Imaging. The Astrophysical Journal. 872(2). 185–185. 3 indexed citations

16.

Wiesner, Matthew, Oliver Adams, David Yarowsky, Jan Trmal, & Sanjeev Khudanpur. (2019). Zero-Shot Pronunciation Lexicons for Cross-Language Acoustic Model Transfer. 1048–1054. 2 indexed citations

17.

Wiesner, Matthew, Adithya Renduchintala, Shinji Watanabe, et al.. (2018). Low Resource Multi-modal Data Augmentation for End-to-end ASR.. arXiv (Cornell University). 1 indexed citations

18.

Liu, Chunxi, Matthew Wiesner, Shinji Watanabe, et al.. (2018). Low-Resource Contextual Topic Identification on Speech. 656–663.

19.

Watanabe, Shinji, Takaaki Hori, Shigeki Karita, et al.. (2018). ESPnet: End-to-End Speech Processing Toolkit. 2207–2211. 848 indexed citations breakdown →

20.

Wiesner, Matthew. (2015). Learning from the Starry Message: Using Galileo's Sidereus Nuncius in Introductory Astronomy Classes. The Physics Teacher. 53(3). 146–150.

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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