Joshua B. Tenenbaum Google Scholar: h-index, Total Citations, and Citation Map
Joshua B. Tenenbaum's h-index is 100 (100 i10-index, 162,515+ total citations across 100+ publications) according to Google Scholar as of November 2026. Joshua B. Tenenbaum is affiliated with MIT.
Joshua B. Tenenbaum is a researcher affiliated with MIT, specializing in AI & Machine Learning. Their work has been cited 162,515 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Joshua B. Tenenbaum's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 100
- i10-Index
- 100
- Total Citations
- 162,515
- Citing Countries
- 68
As of November 2026.
Joshua B. Tenenbaum has an h-index of 100 and 162,515 total citations across 100 publications, with research cited by institutions in 68 countries.
Global Impact Map
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A global geometric framework for nonlinear dimensionality reduction
200017,914
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 Joshua B. Tenenbaum's research
Joshua B. Tenenbaum is a researcher in AI & Machine Learning at MIT. Their work has been cited 162,515 times across 100 publications (h-index 100), according to Google Scholar.
Their most-cited work, “A global geometric framework for nonlinear dimensionality reduction” (2000), has accumulated 17,914 citations. Other influential works include “Building machines that learn and think like people” (2016) with 5,164 citations and “Human-level concept learning through probabilistic program induction” (2015) with 4,564 citations.
Citations of Joshua B. Tenenbaum'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.
