Björn Ommer Google Scholar: h-index, Total Citations, and Citation Map
Björn Ommer's h-index is 57 (129 i10-index, 57,815+ total citations across 100+ publications) according to Google Scholar as of October 2026. Björn Ommer is affiliated with Heidelberg University.
Björn Ommer is a researcher affiliated with Heidelberg University, 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 100 indexed publications.
- H-Index
- 57
- i10-Index
- 129
- Total Citations
- 57,815
- Citing Countries
- 72
As of October 2026.
Björn Ommer has an h-index of 57 and 57,815 total citations across 100 publications, with research cited by institutions in 72 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Björn Ommer'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 with Latent Diffusion Models
202212,374
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.
34 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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Björn Ommer's research
Björn Ommer is a researcher at Heidelberg University. Their work has been cited 57,815 times across 100 publications (h-index 57), 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 “ICNC 2008: Proceedings” (2008) with 5,486 citations and “A variational u-net for conditional appearance and shape generation” (2018) with 582 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.











