Maneesh Agrawala: h-index, Total Citations, and Citation Map
Maneesh Agrawala's h-index is 20 (20 i10-index, 40,917+ total citations across 20+ publications) according to Google Scholar as of July 2026. Maneesh Agrawala is affiliated with Stanford University.
Maneesh Agrawala is a researcher affiliated with Stanford University, specializing in various fields. Their work has been cited 40,917 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Maneesh Agrawala's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 40,917
- Citing Countries
- 49
As of July 2026.
Maneesh Agrawala has an h-index of 20 and 40,917 total citations across 20 publications, with research cited by institutions in 49 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Maneesh Agrawala's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
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.
Adding Conditional Control to Text-to-Image Diffusion Models
20233,144
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.
17 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational design principles for effective step-by-step assembly instructions and visual communication, creating a widely adopted framework for instructional clarity.
The researcher advanced text-to-image diffusion models by introducing conditional control mechanisms, a foundational contribution evidenced by over 3,000 citations and widespread independent adoption.
The researcher pioneered interactive digital photomontage techniques, establishing a foundational framework for user-driven image synthesis that has significantly influenced subsequent computational photography research.
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 Maneesh Agrawala's research
Maneesh Agrawala is a researcher at Stanford University. Their work has been cited 40,917 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Adding Conditional Control to Text-to-Image Diffusion Models” (2023), has accumulated 3,144 citations. Other influential works include “Interactive digital photomontage” (2004) with 834 citations and “Gaze-based interaction for semi-automatic photo cropping” (2006) with 352 citations.
Citations of Maneesh Agrawala'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.











