Fabrizio Sebastiani: h-index, Total Citations, and Citation Map
Fabrizio Sebastiani's h-index is 54 (130 i10-index, 33,960+ total citations across 226+ publications) according to Google Scholar as of June 2026. Fabrizio Sebastiani is affiliated with Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche (ISTI-CNR).
Fabrizio Sebastiani is a researcher affiliated with Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche (ISTI-CNR), specializing in Text Classification, Sentiment Analysis, Quantification. Their work has been cited 33,960 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Fabrizio Sebastiani's Citation Metrics
Bibliometric impact based on 226 indexed publications.
- H-Index
- 54
- i10-Index
- 130
- Total Citations
- 33,960
- Citing Countries
- 17
As of June 2026.
Fabrizio Sebastiani has an h-index of 54 and 33,960 total citations across 226 publications, with research cited by institutions in 17 countries.
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Machine Learning in Automated Text Categorization
200212,780
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Fabrizio Sebastiani's research
Fabrizio Sebastiani is a researcher in Text Classification, Sentiment Analysis and Quantification at Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche (ISTI-CNR). Their work has been cited 33,960 times across 226 publications (h-index 54), according to Google Scholar.
Their most-cited work, “Machine Learning in Automated Text Categorization” (2002), has accumulated 12,780 citations. Other influential works include “SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining” (2010) with 4,887 citations and “SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining” (2006) with 3,954 citations.
Citations of Fabrizio Sebastiani's research come primarily from United States, China and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
