Andrew McCallum Google Scholar: h-index, Total Citations, and Citation Map
Andrew McCallum has 116,273+ total citations according to Google Scholar as of November 2026. Andrew McCallum is affiliated with University of Massachusetts Amherst.
Andrew McCallum is a researcher affiliated with University of Massachusetts Amherst, specializing in AI & Machine Learning. Their work has been cited 116,273 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Andrew McCallum's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 116,273
- Citing Countries
- 5
As of November 2026.
Andrew McCallum has an h-index of 1 and 116,273 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
200119,837
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)
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About Andrew McCallum's research
Andrew McCallum is a researcher in AI & Machine Learning at University of Massachusetts Amherst. Their work has been cited 116,273 times across 1 publication, according to Google Scholar.
Their most-cited work, “Conditional random fields: Probabilistic models for segmenting and labeling sequence data” (2001), has accumulated 19,837 citations.
Citations of Andrew McCallum's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
