Mark Sandler: h-index, Total Citations, and Citation Map
Mark Sandler's h-index is 1 (1 i10-index, 60,603+ total citations across 1+ publications) according to Google Scholar as of June 2026. Mark Sandler is affiliated with Google.
Mark Sandler is a researcher affiliated with Google, specializing in AI & Machine Learning. Their work has been cited 60,603 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Mark Sandler's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 60,603
- Citing Countries
- 4
As of June 2026.
Mark Sandler has an h-index of 1 and 60,603 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
201837,296
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 Mark Sandler's research
Mark Sandler is a researcher in AI & Machine Learning at Google. Their work has been cited 60,603 times across 1 publications, according to Google Scholar.
Their most-cited work, “MobileNetV2: Inverted Residuals and Linear Bottlenecks” (2018), has accumulated 37,296 citations.
Citations of Mark Sandler's research come primarily from United States, China and Malaysia, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
