Michael J. Black Google Scholar: h-index, Total Citations, and Citation Map
Michael J. Black has 114,668+ total citations according to Google Scholar as of November 2026. Michael J. Black is affiliated with Max Planck Institute for Intelligent Systems.
Michael J. Black is a researcher affiliated with Max Planck Institute for Intelligent Systems, specializing in AI & Machine Learning. Their work has been cited 114,668 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Michael J. Black's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 114,668
- Citing Countries
- 3
As of November 2026.
Michael J. Black has an h-index of 1 and 114,668 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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SMPL: A skinned multi-person linear model
20236,516
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 J. Black's research
Michael J. Black is a researcher in AI & Machine Learning at Max Planck Institute for Intelligent Systems. Their work has been cited 114,668 times across 1 publication, according to Google Scholar.
Their most-cited work, “SMPL: A skinned multi-person linear model” (2023), has accumulated 6,516 citations.
Citations of Michael J. Black's research come primarily from China, United States and Singapore, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
