Lawrence K. Saul Google Scholar: h-index, Total Citations, and Citation Map
Lawrence K. Saul's h-index is 56 (117 i10-index, 52,357+ total citations across 197+ publications) according to Google Scholar as of September 2026. Lawrence K. Saul is affiliated with Senior Research Scientist, Flatiron Institute.
Lawrence K. Saul is a researcher affiliated with Senior Research Scientist, Flatiron Institute, specializing in Machine learning. Their work has been cited 52,357 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Lawrence K. Saul's Citation Metrics
Bibliometric impact based on 197 indexed publications.
- H-Index
- 56
- i10-Index
- 117
- Total Citations
- 52,357
- Citing Countries
- 58
As of September 2026.
Lawrence K. Saul has an h-index of 56 and 52,357 total citations across 197 publications, with research cited by institutions in 58 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Lawrence K. Saul'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.
Nonlinear dimensionality reduction by locally linear embedding
200019,939
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.
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 Lawrence K. Saul's research
Lawrence K. Saul is a researcher in Machine learning at Senior Research Scientist, Flatiron Institute. Their work has been cited 52,357 times across 197 publications (h-index 56), according to Google Scholar.
Their most-cited work, “Nonlinear dimensionality reduction by locally linear embedding” (2000), has accumulated 19,939 citations. Other influential works include “An introduction to variational methods for graphical models” (1999) with 5,550 citations and “Distance metric learning for large margin nearest neighbor classification.” (2009) with 5,334 citations.
Citations of Lawrence K. Saul'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.
