Daniel Peralta: h-index, Total Citations, and Citation Map
Daniel Peralta's h-index is 22 (32 i10-index, 2,233+ total citations across 54+ publications) according to Google Scholar as of June 2026. Daniel Peralta is affiliated with Assistant Professor, Dept. of Computer Science and Artificial Intelligence, University of Granada.
Daniel Peralta is a researcher affiliated with Assistant Professor, Dept. of Computer Science and Artificial Intelligence, University of Granada, specializing in Data Mining, Biometrics, Big Data. Their work has been cited 2,233 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Daniel Peralta's Citation Metrics
Bibliometric impact based on 54 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 22
- i10-Index
- 32
- Total Citations
- 2,233
- Citing Countries
- 16
As of June 2026.
Daniel Peralta has an h-index of 22 and 2,233 total citations across 54 publications, with research cited by institutions in 16 countries.
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MRPR: A MapReduce solution for prototype reduction in big data classification
2015285
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Daniel Peralta's research
Daniel Peralta is a researcher in Data Mining, Biometrics and Big Data at Assistant Professor, Dept. of Computer Science and Artificial Intelligence, University of Granada. Their work has been cited 2,233 times across 54 publications (h-index 22), according to Google Scholar.
Their most-cited work, “MRPR: A MapReduce solution for prototype reduction in big data classification” (2015), has accumulated 285 citations. Other influential works include “A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation” (2015) with 207 citations and “Evolutionary feature selection for big data classification: A mapreduce approach” (2015) with 196 citations.
Citations of Daniel Peralta's research come primarily from Spain, Portugal and Greece, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
