Michael Collins Google Scholar: h-index, Total Citations, and Citation Map
Michael Collins has 39,074+ total citations according to Google Scholar as of November 2026. Michael Collins is affiliated with Google NYC.
Michael Collins is a researcher affiliated with Google NYC, specializing in AI & Machine Learning. Their work has been cited 39,074 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Michael Collins's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 39,074
- Citing Countries
- 6
As of November 2026.
Michael Collins has an h-index of 1 and 39,074 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Natural Questions: A Benchmark for Question Answering Research
20195,026
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 Collins's research
Michael Collins is a researcher in AI & Machine Learning at Google NYC. Their work has been cited 39,074 times across 1 publication, according to Google Scholar.
Their most-cited work, “Natural Questions: A Benchmark for Question Answering Research” (2019), has accumulated 5,026 citations.
Citations of Michael Collins's research come primarily from China, Australia and Pakistan, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
