Jeffrey Ullman Google Scholar: h-index, Total Citations, and Citation Map
Jeffrey Ullman's h-index is 119 (347 i10-index, 140,821+ total citations across 681+ publications) according to Google Scholar as of October 2026. Jeffrey Ullman is affiliated with Stanford University.
Jeffrey Ullman is a researcher affiliated with Stanford University, specializing in various fields. Their work has been cited 140,821 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jeffrey Ullman's Citation Metrics
Bibliometric impact based on 681 indexed publications.
- H-Index
- 119
- i10-Index
- 347
- Total Citations
- 140,821
- Citing Countries
- 52
As of October 2026.
Jeffrey Ullman has an h-index of 119 and 140,821 total citations across 681 publications, with research cited by institutions in 52 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jeffrey Ullman'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.
Introduction to Automata Theory, Languages, and Computation
200625,241
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.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational algorithms for transitive reduction in directed graphs, subsequently integrating these methods into comprehensive data structure frameworks that have become standard references in computer science.
The researcher authored a seminal textbook on automata theory and computation, establishing a foundational reference that has been independently cited over 25,000 times.
The researcher authored a seminal textbook on compiler principles and techniques that has become a foundational reference in computer science, evidenced by over 20,000 citations.
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 Jeffrey Ullman's research
Jeffrey Ullman is a researcher at Stanford University. Their work has been cited 140,821 times across 681 publications (h-index 119), according to Google Scholar.
Their most-cited work, “Introduction to Automata Theory, Languages, and Computation” (2006), has accumulated 25,241 citations. Other influential works include “Compilers Principles, Techniques” (2007) with 20,672 citations and “Principles of database systems” (1983) with 12,422 citations.
Citations of Jeffrey Ullman's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
