Hayit Greenspan: h-index, Total Citations, and Citation Map
Hayit Greenspan's h-index is 71 (187 i10-index, 32,936+ total citations across 350+ publications) according to Google Scholar as of June 2026. Hayit Greenspan is affiliated with Tel-Aviv University and Mount Sinai.
Hayit Greenspan is a researcher affiliated with Tel-Aviv University and Mount Sinai, specializing in medical image analysis, deep learning, segmentation. Their work has been cited 32,936 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Hayit Greenspan's Citation Metrics
Bibliometric impact based on 350 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 71
- i10-Index
- 187
- Total Citations
- 32,936
- Citing Countries
- 22
As of June 2026.
Hayit Greenspan has an h-index of 71 and 32,936 total citations across 350 publications, with research cited by institutions in 22 countries.
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We've mapped 5,000 of 32,936 citations for Hayit Greenspan
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GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
20182,648
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Hayit Greenspan's research
Hayit Greenspan is a researcher in medical image analysis, deep learning and segmentation at Tel-Aviv University and Mount Sinai. Their work has been cited 32,936 times across 350 publications (h-index 71), according to Google Scholar.
Their most-cited work, “GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification” (2018), has accumulated 2,648 citations. Other influential works include “Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique” (2016) with 2,293 citations and “The liver tumor segmentation benchmark (lits)” (2023) with 2,166 citations.
Citations of Hayit Greenspan's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
