Daniel Povey: h-index, Total Citations, and Citation Map
Daniel Povey's h-index is 76 (182 i10-index, 60,555+ total citations across 248+ publications) according to Google Scholar as of July 2026. Daniel Povey is affiliated with Chief Speech Scientist, Xiaomi Corp..
Daniel Povey is a researcher affiliated with Chief Speech Scientist, Xiaomi Corp., specializing in various fields. Their work has been cited 60,555 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Daniel Povey's Citation Metrics
Bibliometric impact based on 248 indexed publications.
- H-Index
- 76
- i10-Index
- 182
- Total Citations
- 60,555
- Citing Countries
- 49
As of July 2026.
Daniel Povey has an h-index of 76 and 60,555 total citations across 248 publications, with research cited by institutions in 49 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Daniel Povey's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Librispeech: an asr corpus based on public domain audio books
201510,313
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
1 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced discriminative training and efficient long-context modeling in speech recognition through seminal work on Boosted MMI and Time Delay Neural Networks.
The researcher developed semi-orthogonal low-rank matrix factorization for deep neural networks, a foundational technique subsequently applied to complex multispeaker speech recognition challenges.
The researcher developed the Kaldi speech recognition toolkit, a foundational open-source framework that has become a standard resource for the speech processing community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Daniel Povey's research
Daniel Povey is a researcher at Chief Speech Scientist, Xiaomi Corp.. Their work has been cited 60,555 times across 248 publications (h-index 76), according to Google Scholar.
Their most-cited work, “Librispeech: an asr corpus based on public domain audio books” (2015), has accumulated 10,313 citations. Other influential works include “The Kaldi speech recognition toolkit” (2011) with 8,253 citations and “The HTK book” (2002) with 4,918 citations.
Citations of Daniel Povey's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











