Matthias Nießner Google Scholar: h-index, Total Citations, and Citation Map
Matthias Nießner's h-index is 97 (220 i10-index, 59,409+ total citations across 354+ publications) according to Google Scholar as of October 2026. Matthias Nießner is affiliated with Technical University of Munich.
Matthias Nießner is a researcher affiliated with Technical University of Munich, specializing in various fields. Their work has been cited 59,409 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Matthias Nießner's Citation Metrics
Bibliometric impact based on 354 indexed publications.
- H-Index
- 97
- i10-Index
- 220
- Total Citations
- 59,409
- Citing Countries
- 69
As of October 2026.
Matthias Nießner has an h-index of 97 and 59,409 total citations across 354 publications, with research cited by institutions in 69 countries.
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
20177,186
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
17 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered real-time facial reenactment techniques, establishing a foundational framework for high-fidelity, low-latency video-based facial animation and expression transfer.
The researcher pioneered scalable real-time 3D reconstruction via voxel hashing, establishing a foundational framework that enabled subsequent advances in semantic scene segmentation and comprehensive technical reviews.
The researcher pioneered deferred neural rendering using neural textures, establishing a foundational framework for high-fidelity image synthesis that has significantly influenced subsequent audio-driven reenactment and neural rendering surveys.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Matthias Nießner's research
Matthias Nießner is a researcher at Technical University of Munich. Their work has been cited 59,409 times across 354 publications (h-index 97), according to Google Scholar.
Their most-cited work, “Scannet: Richly-annotated 3d reconstructions of indoor scenes” (2017), has accumulated 7,186 citations. Other influential works include “Faceforensics++: Learning to detect manipulated facial images” (2019) with 4,590 citations and “Face2face: Real-time face capture and reenactment of rgb videos” (2016) with 3,165 citations.
Citations of Matthias Nießner's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
