Ranjay Krishna Google Scholar: h-index, Total Citations, and Citation Map
Ranjay Krishna's h-index is 20 (20 i10-index, 40,937+ total citations across 20+ publications) according to Google Scholar as of October 2026. Ranjay Krishna is affiliated with University of Washington, Microsoft AI.
Ranjay Krishna is a researcher affiliated with University of Washington, Microsoft AI, specializing in various fields. Their work has been cited 40,937 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ranjay Krishna's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 40,937
- Citing Countries
- 70
As of October 2026.
Ranjay Krishna has an h-index of 20 and 40,937 total citations across 20 publications, with research cited by institutions in 70 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Ranjay Krishna'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.
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
20175,085
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.
55 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered scene graph-based image retrieval, establishing a foundational framework for connecting vision and language through dense, crowdsourced annotations.
The researcher pioneered methods for modeling relational structures in visual scenes, establishing a foundational framework for scene graph generation and action understanding that has been widely adopted by the independent research community.
The researcher pioneered information-maximizing visual question generation, establishing a foundational framework for interpretable text-image faithfulness evaluation and socially situated AI learning.
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 Ranjay Krishna's research
Ranjay Krishna is a researcher at University of Washington, Microsoft AI. Their work has been cited 40,937 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations” (2017), has accumulated 5,085 citations. Other influential works include “Image retrieval using scene graphs” (2015) with 1,103 citations and “Visual Relationship Detection with Language Priors” (2016) with 1,029 citations.
Citations of Ranjay Krishna'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.
