Sanjay Krishnan Google Scholar: h-index, Total Citations, and Citation Map
Sanjay Krishnan's h-index is 37 (83 i10-index, 7,403+ total citations across 40+ publications) according to Google Scholar as of November 2026. Sanjay Krishnan is affiliated with University of Chicago.
Sanjay Krishnan is a researcher affiliated with University of Chicago, specializing in Databases, Machine Learning. Their work has been cited 7,403 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sanjay Krishnan's Citation Metrics
Bibliometric impact based on 40 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 37
- i10-Index
- 83
- Total Citations
- 7,403
- Citing Countries
- 44
As of November 2026.
Sanjay Krishnan has an h-index of 37 and 7,403 total citations across 40 publications, with research cited by institutions in 44 countries.
Global Impact Map
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Data cleaning: Overview and emerging challenges
20161,040
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 Sanjay Krishnan's research
Sanjay Krishnan is a researcher in Databases and Machine Learning at University of Chicago. Their work has been cited 7,403 times across 40 publications (h-index 37), according to Google Scholar.
Their most-cited work, “Data cleaning: Overview and emerging challenges” (2016), has accumulated 1,040 citations. Other influential work includes “Activeclean: Interactive data cleaning for statistical modeling.” (2016) with 512 citations.
Citations of Sanjay Krishnan'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.
