Andrew Ng: h-index, Total Citations, and Citation Map
Andrew Ng's h-index is 160 (382 i10-index, 313,776+ total citations across 552+ publications) according to Google Scholar as of July 2026. Andrew Ng is affiliated with Stanford University.
Andrew Ng is a researcher affiliated with Stanford University, specializing in Machine Learning, Deep Learning, AI. Their work has been cited 313,776 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Andrew Ng's Citation Metrics
Bibliometric impact based on 552 indexed publications.
- H-Index
- 160
- i10-Index
- 382
- Total Citations
- 313,776
- Citing Countries
- 63
As of July 2026.
Andrew Ng has an h-index of 160 and 313,776 total citations across 552 publications, with research cited by institutions in 63 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Latent Dirichlet Allocation
200362,524
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.
1414 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher introduced Latent Dirichlet Allocation, a foundational probabilistic model for topic discovery that has become a standard method in machine learning and natural language processing.
The researcher established a foundational theoretical framework and algorithm for spectral clustering, providing rigorous analysis that has become a seminal reference in the field.
The researcher developed ROS, an open-source Robot Operating System, establishing a foundational software framework that has become a standard infrastructure for robotics research and development.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Andrew Ng's research
Andrew Ng is a researcher in Machine Learning, Deep Learning and AI at Stanford University. Their work has been cited 313,776 times across 552 publications (h-index 160), according to Google Scholar.
Their most-cited work, “Latent Dirichlet Allocation” (2003), has accumulated 62,524 citations. Other influential works include “ROS: an open-source Robot Operating System” (2009) with 14,759 citations and “On spectral clustering: Analysis and an algorithm” (2001) with 14,207 citations.
Citations of Andrew Ng's research come primarily from United States, China 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.
