Lise Getoor Google Scholar: h-index, Total Citations, and Citation Map
Lise Getoor's h-index is 79 (247 i10-index, 35,745+ total citations across 488+ publications) according to Google Scholar as of September 2026. Lise Getoor is affiliated with Distinguished Professor of Computer Science & Engineering, University of California, Santa Cruz.
Lise Getoor is a researcher affiliated with Distinguished Professor of Computer Science & Engineering, University of California, Santa Cruz, specializing in various fields. Their work has been cited 35,745 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Lise Getoor's Citation Metrics
Bibliometric impact based on 488 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 79
- i10-Index
- 247
- Total Citations
- 35,745
- Citing Countries
- 67
As of September 2026.
Lise Getoor has an h-index of 79 and 35,745 total citations across 488 publications, with research cited by institutions in 67 countries.
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Collective classification in network data
20086,314
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Lise Getoor's research
Lise Getoor is a researcher at Distinguished Professor of Computer Science & Engineering, University of California, Santa Cruz. Their work has been cited 35,745 times across 488 publications (h-index 79), according to Google Scholar.
Their most-cited work, “Collective classification in network data” (2008), has accumulated 6,314 citations. Other influential works include “Introduction to statistical relational learning” (2007) with 2,247 citations and “Learning Probabilistic Relational Models” (2001) with 1,772 citations.
Citations of Lise Getoor'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.
