Jesús Maillo Hidalgo: h-index, Total Citations, and Citation Map
Jesús Maillo Hidalgo's h-index is 9 (9 i10-index, 1,159+ total citations across 14+ publications) according to Google Scholar as of June 2026. Jesús Maillo Hidalgo is affiliated with Ph.D. Department of Computer Science and Artificial Intelligence, University of Granada.
Jesús Maillo Hidalgo is a researcher affiliated with Ph.D. Department of Computer Science and Artificial Intelligence, University of Granada, specializing in Data Mining, Machine Learning, Big Data. Their work has been cited 1,159 times. This profile visualizes their global influence, highlighting strong citation networks in Turkey.
Jesús Maillo Hidalgo's Citation Metrics
Bibliometric impact based on 14 indexed publications.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 1,159
- Citing Countries
- 10
As of June 2026.
Jesús Maillo Hidalgo has an h-index of 9 and 1,159 total citations across 14 publications, with research cited by institutions in 10 countries.
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kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
2017439
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jesús Maillo Hidalgo's research
Jesús Maillo Hidalgo is a researcher in Data Mining, Machine Learning and Big Data at Ph.D. Department of Computer Science and Artificial Intelligence, University of Granada. Their work has been cited 1,159 times across 14 publications (h-index 9), according to Google Scholar.
Their most-cited work, “kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data” (2017), has accumulated 439 citations. Other influential works include “Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data” (2019) with 294 citations and “A mapreduce-based k-nearest neighbor approach for big data classification” (2015) with 120 citations.
Citations of Jesús Maillo Hidalgo's research come primarily from Turkey, Spain and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
