Richard Tucker: h-index, Total Citations, and Citation Map
Richard Tucker's h-index is 22 (26 i10-index, 5,630+ total citations across 39+ publications) according to Google Scholar as of June 2026. Richard Tucker is affiliated with Google Research.
Richard Tucker is a researcher affiliated with Google Research, specializing in computer vision, graphics, machine learning. Their work has been cited 5,630 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Richard Tucker's Citation Metrics
Bibliometric impact based on 39 indexed publications.
- H-Index
- 22
- i10-Index
- 26
- Total Citations
- 5,630
- Citing Countries
- 19
As of June 2026.
Richard Tucker has an h-index of 22 and 5,630 total citations across 39 publications, with research cited by institutions in 19 countries.
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Stereo Magnification: Learning View Synthesis using Multiplane Images
20181,596
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.
The researcher developed a learning-based approach for view synthesis using multiplane images, significantly advancing stereo magnification techniques in computer graphics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Richard Tucker's research
Richard Tucker is a researcher in computer vision, graphics and machine learning at Google Research. Their work has been cited 5,630 times across 39 publications (h-index 22), according to Google Scholar.
Their most-cited work, “Stereo Magnification: Learning View Synthesis using Multiplane Images” (2018), has accumulated 1,596 citations. Other influential works include “DeepView: View synthesis with learned gradient descent” (2019) with 558 citations and “Single-View View Synthesis with Multiplane Images” (2020) with 479 citations.
Citations of Richard Tucker's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
