Sergio Ramírez-Gallego: h-index, Total Citations, and Citation Map
Sergio Ramírez-Gallego's h-index is 20 (22 i10-index, 4,320+ total citations across 54+ publications) according to Google Scholar as of June 2026. Sergio Ramírez-Gallego is affiliated with PhD. ML and Computer Science.
Sergio Ramírez-Gallego is a researcher affiliated with PhD. ML and Computer Science, specializing in Data Pre-processing, Data Mining, Big Data. Their work has been cited 4,320 times. This profile visualizes their global influence, highlighting strong citation networks in Turkey.
Sergio Ramírez-Gallego'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
- 20
- i10-Index
- 22
- Total Citations
- 4,320
- Citing Countries
- 24
As of June 2026.
Sergio Ramírez-Gallego has an h-index of 20 and 4,320 total citations across 54 publications, with research cited by institutions in 24 countries.
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We've mapped 5,000 of 4,320 citations for Sergio Ramírez-Gallego
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Big data preprocessing: methods and prospects
20161,088
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sergio Ramírez-Gallego's research
Sergio Ramírez-Gallego is a researcher in Data Pre-processing, Data Mining and Big Data at PhD. ML and Computer Science. Their work has been cited 4,320 times across 54 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Big data preprocessing: methods and prospects” (2016), has accumulated 1,088 citations. Other influential works include “A survey on data preprocessing for data stream mining: Current status and future directions” (2017) with 663 citations and “kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data” (2017) with 439 citations.
Citations of Sergio Ramírez-Gallego's research come primarily from Turkey, United States and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
