Polina Golland Google Scholar: h-index, Total Citations, and Citation Map
Polina Golland has 29,600+ total citations according to Google Scholar as of November 2026. Polina Golland is affiliated with Massachusetts Institute of Technology.
Polina Golland is a researcher affiliated with Massachusetts Institute of Technology, specializing in AI & Machine Learning. Their work has been cited 29,600 times. This profile visualizes their global influence, highlighting strong citation networks in Canada.
Polina Golland's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 29,600
- Citing Countries
- 8
As of November 2026.
Polina Golland has an h-index of 1 and 29,600 total citations across 1 publication, with research cited by institutions in 8 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
The multimodal brain tumor image segmentation benchmark (BRATS)
20148,340
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Polina Golland's research
Polina Golland is a researcher in AI & Machine Learning at Massachusetts Institute of Technology. Their work has been cited 29,600 times across 1 publication, according to Google Scholar.
Their most-cited work, “The multimodal brain tumor image segmentation benchmark (BRATS)” (2014), has accumulated 8,340 citations.
Citations of Polina Golland's research come primarily from Canada, China and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
