Michael Steinbach Google Scholar: h-index, Total Citations, and Citation Map
Michael Steinbach's h-index is 55 (134 i10-index, 50,157+ total citations across 281+ publications) according to Google Scholar as of October 2026. Michael Steinbach is affiliated with University of Minnesota.
Michael Steinbach is a researcher affiliated with University of Minnesota, specializing in Data mining, machine learning, statistics. Their work has been cited 50,157 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael Steinbach's Citation Metrics
Bibliometric impact based on 281 indexed publications.
- H-Index
- 55
- i10-Index
- 134
- Total Citations
- 50,157
- Citing Countries
- 24
As of October 2026.
Michael Steinbach has an h-index of 55 and 50,157 total citations across 281 publications, with research cited by institutions in 24 countries.
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Introduction to data mining
201619,235
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael Steinbach's research
Michael Steinbach is a researcher in Data mining, machine learning and statistics at University of Minnesota. Their work has been cited 50,157 times across 281 publications (h-index 55), according to Google Scholar.
Their most-cited work, “Introduction to data mining” (2016), has accumulated 19,235 citations. Other influential works include “Top 10 algorithms in data mining” (2008) with 8,489 citations and “A comparison of document clustering techniques” (2000) with 4,326 citations.
Citations of Michael Steinbach'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.
