Matthew Tancik Google Scholar: h-index, Total Citations, and Citation Map
Matthew Tancik has 40,272+ total citations according to Google Scholar as of November 2026. Matthew Tancik is affiliated with Luma AI.
Matthew Tancik is a researcher affiliated with Luma AI, specializing in AI & Machine Learning. Their work has been cited 40,272 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Matthew Tancik's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 40,272
- Citing Countries
- 5
As of November 2026.
Matthew Tancik has an h-index of 1 and 40,272 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
NeRF: Representing scenes as neural radiance fields for view synthesis
202018,511
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Matthew Tancik's research
Matthew Tancik is a researcher in AI & Machine Learning at Luma AI. Their work has been cited 40,272 times across 1 publication, according to Google Scholar.
Their most-cited work, “NeRF: Representing scenes as neural radiance fields for view synthesis” (2020), has accumulated 18,511 citations.
Citations of Matthew Tancik's research come primarily from China, United States and Finland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
