Daniel Paternain: h-index, Total Citations, and Citation Map
Daniel Paternain's h-index is 24 (45 i10-index, 2,270+ total citations across 100+ publications) according to Google Scholar as of June 2026. Daniel Paternain is affiliated with Department of Statistics, Computer Science and Mathematics.
Daniel Paternain is a researcher affiliated with Department of Statistics, Computer Science and Mathematics, specializing in Artificial Intelligence, Machine Learning, Computer Vision. Their work has been cited 2,270 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Daniel Paternain's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 3 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 24
- i10-Index
- 45
- Total Citations
- 2,270
- Citing Countries
- 26
As of June 2026.
Daniel Paternain has an h-index of 24 and 2,270 total citations across 100 publications, with research cited by institutions in 26 countries.
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A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
2015206
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniel Paternain's research
Daniel Paternain is a researcher in Artificial Intelligence, Machine Learning and Computer Vision at Department of Statistics, Computer Science and Mathematics. Their work has been cited 2,270 times across 100 publications (h-index 24), according to Google Scholar.
Their most-cited work, “A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation” (2015), has accumulated 206 citations. Other influential works include “A class of fuzzy multisets with a fixed number of memberships” (2012) with 119 citations and “A comparison study of different color spaces in clustering based image segmentation” (2010) with 109 citations.
Citations of Daniel Paternain's research come primarily from Spain, Brazil and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
