Dirk Weissenborn Google Scholar: h-index, Total Citations, and Citation Map
Dirk Weissenborn's h-index is 28 (37 i10-index, 109,553+ total citations across 60+ publications) according to Google Scholar as of October 2026. Dirk Weissenborn is affiliated with Inceptive Inc..
Dirk Weissenborn is a researcher affiliated with Inceptive Inc., specializing in various fields. Their work has been cited 109,553 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Dirk Weissenborn's Citation Metrics
Bibliometric impact based on 60 indexed publications.
- H-Index
- 28
- i10-Index
- 37
- Total Citations
- 109,553
- Citing Countries
- 66
As of October 2026.
Dirk Weissenborn has an h-index of 28 and 109,553 total citations across 60 publications, with research cited by institutions in 66 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Dirk Weissenborn'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.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
202121,341
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.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a streamlined neural question-answering framework and a subsequent machine reading system, establishing a simplified approach to natural language understanding that has garnered significant independent academic attention.
The researcher pioneered the application of transformer architectures to image recognition at scale, establishing a foundational vision-language framework that has become a standard reference in computer vision.
The researcher developed methods for answering factoid questions in the biomedical domain, establishing a foundational approach for information retrieval in specialized scientific contexts.
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 Dirk Weissenborn's research
Dirk Weissenborn is a researcher at Inceptive Inc.. Their work has been cited 109,553 times across 60 publications (h-index 28), according to Google Scholar.
Their most-cited work, “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale” (2021), has accumulated 21,341 citations. Other influential works include “An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition” (2015) with 559 citations and “Axial Attention in Multidimensional Transformers” (2019) with 363 citations.
Citations of Dirk Weissenborn's research come primarily from United States, China 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.
