Iris Zalaudek Google Scholar: h-index, Total Citations, and Citation Map
Iris Zalaudek's h-index is 104 (476 i10-index, 40,896+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Iris Zalaudek is affiliated with Department of Dermatology, University of Trieste.
Iris Zalaudek is a researcher affiliated with Department of Dermatology, University of Trieste, specializing in dermoscopy, melanoma, nevi. Their work has been cited 40,896 times. This profile visualizes their global influence, spanning a global audience.
Iris Zalaudek's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 104
- i10-Index
- 476
- Total Citations
- 40,896
- Citing Countries
- 0
As of October 2026.
Iris Zalaudek has an h-index of 104 and 40,896 total citations across 1000 publications, with research cited by institutions in 0 countries.
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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
20182,089
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Iris Zalaudek's research
Iris Zalaudek is a researcher in dermoscopy, melanoma and nevi at Department of Dermatology, University of Trieste. Their work has been cited 40,896 times across 1,000 publications (h-index 104), according to Google Scholar.
Their most-cited work, “Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists” (2018), has accumulated 2,089 citations. Other influential works include “Human–computer collaboration for skin cancer recognition” (2020) with 1,255 citations and “European consensus-based interdisciplinary guideline for melanoma. Part 2: treatment–update 2019” (2020) with 793 citations.
