Björn Ommer: h-index, Total Citations, and Citation Map
Björn Ommer's h-index is 20 (20 i10-index, 57,815+ total citations across 20+ publications) according to Google Scholar as of July 2026. Björn Ommer is affiliated with Professor, Computer Vision & Learning Group (CompVis), University of Munich.
Björn Ommer is a researcher affiliated with Professor, Computer Vision & Learning Group (CompVis), University of Munich, specializing in various fields. Their work has been cited 57,815 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Björn Ommer's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 57,815
- Citing Countries
- 44
As of July 2026.
Björn Ommer has an h-index of 20 and 57,815 total citations across 20 publications, with research cited by institutions in 44 countries.
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Global Impact Map
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High-Resolution Image Synthesis with Latent Diffusion Models
202212,374
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.
40 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced high-resolution image synthesis by developing latent diffusion models, a foundational approach that significantly improved generation quality and efficiency.
The researcher advanced compositional categorization models, establishing a foundational framework for learning structured representations that has been widely adopted by independent scholars.
The researcher advanced computer vision by developing methods to learn the compositional structure of visual objects, establishing a foundational framework for understanding object parts and their relationships.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Björn Ommer's research
Björn Ommer is a researcher at Professor, Computer Vision & Learning Group (CompVis), University of Munich. Their work has been cited 57,815 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “High-Resolution Image Synthesis with Latent Diffusion Models” (2022), has accumulated 12,374 citations. Other influential works include “High-Resolution Image Synthesis with Latent Diffusion Models” (2021) with 701 citations and “Asynchronous therapy restores motor control by rewiring of the rat corticospinal tract after stroke” (2014) with 324 citations.
Citations of Björn Ommer'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.
