Juan Nunez-Iglesias: h-index, Total Citations, and Citation Map
Juan Nunez-Iglesias's h-index is 25 (35 i10-index, 63,272+ total citations across 68+ publications) according to Google Scholar as of June 2026. Juan Nunez-Iglesias is affiliated with Senior Research Fellow, Biomedicine Discovery Institute, Monash University.
Juan Nunez-Iglesias is a researcher affiliated with Senior Research Fellow, Biomedicine Discovery Institute, Monash University, specializing in Image analysis, Neuroscience, Machine learning. Their work has been cited 63,272 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Juan Nunez-Iglesias's Citation Metrics
Bibliometric impact based on 68 indexed publications.
- H-Index
- 25
- i10-Index
- 35
- Total Citations
- 63,272
- Citing Countries
- 9
As of June 2026.
Juan Nunez-Iglesias has an h-index of 25 and 63,272 total citations across 68 publications, with research cited by institutions in 9 countries.
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SciPy 1.0: fundamental algorithms for scientific computing in Python
202052,189
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About Juan Nunez-Iglesias's research
Juan Nunez-Iglesias is a researcher in Image analysis, Neuroscience and Machine learning at Senior Research Fellow, Biomedicine Discovery Institute, Monash University. Their work has been cited 63,272 times across 68 publications (h-index 25), according to Google Scholar.
Their most-cited work, “SciPy 1.0: fundamental algorithms for scientific computing in Python” (2020), has accumulated 52,189 citations. Other influential works include “scikit-image: image processing in Python” (2014) with 7,933 citations and “Joint genome-wide profiling of miRNA and mRNA expression in Alzheimer's disease cortex reveals altered miRNA regulation” (2010) with 400 citations.
Citations of Juan Nunez-Iglesias's research come primarily from United Kingdom, United States and Finland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











