Jan Kautz Google Scholar: h-index, Total Citations, and Citation Map
Jan Kautz's h-index is 18 (18 i10-index, 86,297+ total citations across 18+ publications) according to Google Scholar as of October 2026. Jan Kautz is affiliated with NVIDIA.
Jan Kautz is a researcher affiliated with NVIDIA, specializing in various fields. Their work has been cited 86,297 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jan Kautz's Citation Metrics
Bibliometric impact based on 18 indexed publications.
- H-Index
- 18
- i10-Index
- 18
- Total Citations
- 86,297
- Citing Countries
- 56
As of October 2026.
Jan Kautz has an h-index of 18 and 86,297 total citations across 18 publications, with research cited by institutions in 56 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jan Kautz's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Showing partial map from open academic databases
Upgrade ($39.98) for the complete Google Scholar crawl.
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.
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
20184,366
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.
7 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced high-resolution image synthesis and semantic manipulation through conditional GANs, establishing a foundational framework widely adopted by independent researchers.
The researcher established foundational loss functions for neural network-based image restoration, a seminal contribution that has been widely adopted by the independent research community.
The researcher developed PWC-Net, a highly cited CNN architecture for optical flow estimation that integrates pyramid, warping, and cost volume techniques to advance computer vision.
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 Jan Kautz's research
Jan Kautz is a researcher at NVIDIA. Their work has been cited 86,297 times across 18 publications (h-index 18), according to Google Scholar.
Their most-cited work, “High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs” (2018), has accumulated 4,366 citations. Other influential works include “PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume” (2018) with 2,641 citations and “Loss Functions for Image Restoration With Neural Networks” (2016) with 2,567 citations.
Citations of Jan Kautz's research come primarily from China, United States 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.
