Michael Auli Google Scholar: h-index, Total Citations, and Citation Map
Michael Auli has 56,423+ total citations according to Google Scholar as of November 2026. Michael Auli is affiliated with Meta, FAIR.
Michael Auli is a researcher affiliated with Meta, FAIR, specializing in AI & Machine Learning. Their work has been cited 56,423 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael Auli's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 56,423
- Citing Countries
- 4
As of November 2026.
Michael Auli has an h-index of 1 and 56,423 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
202010,114
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael Auli's research
Michael Auli is a researcher in AI & Machine Learning at Meta, FAIR. Their work has been cited 56,423 times across 1 publication, according to Google Scholar.
Their most-cited work, “wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations” (2020), has accumulated 10,114 citations.
Citations of Michael Auli's research come primarily from United States, Australia and China, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
