Marcos Andre Goncalves Google Scholar: h-index, Total Citations, and Citation Map
Marcos Andre Goncalves's h-index is 64 (254 i10-index, 15,774+ total citations across 626+ publications) according to Google Scholar as of October 2026. Marcos Andre Goncalves is affiliated with Computer Science Professor, Universidade Federal de Minas Gerais, Brazil.
Marcos Andre Goncalves is a researcher affiliated with Computer Science Professor, Universidade Federal de Minas Gerais, Brazil, specializing in Information Retrieval, Machine Learning, Natural Language Processing. Their work has been cited 15,774 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Marcos Andre Goncalves's Citation Metrics
Bibliometric impact based on 626 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 64
- i10-Index
- 254
- Total Citations
- 15,774
- Citing Countries
- 47
As of October 2026.
Marcos Andre Goncalves has an h-index of 64 and 15,774 total citations across 626 publications, with research cited by institutions in 47 countries.
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Global Impact Map
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Infodemics and health misinformation: a systematic review of reviews
2022671
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established a formal 5S model for digital libraries, providing a foundational theoretical framework that has been widely adopted by independent scholars.
The researcher established a standardized benchmark for comparing state-of-the-practice sentiment analysis methods, providing a critical reference point for evaluating algorithmic performance in natural language processing.
The researcher pioneered methods for predicting YouTube video popularity using early view patterns, establishing a foundational approach in viral content analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Marcos Andre Goncalves's research
Marcos Andre Goncalves is a researcher in Information Retrieval, Machine Learning and Natural Language Processing at Computer Science Professor, Universidade Federal de Minas Gerais, Brazil. Their work has been cited 15,774 times across 626 publications (h-index 64), according to Google Scholar.
Their most-cited work, “Infodemics and health misinformation: a systematic review of reviews” (2022), has accumulated 671 citations. Other influential works include “SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods” (2016) with 641 citations and “Using early view patterns to predict the popularity of YouTube videos” (2013) with 580 citations.
Citations of Marcos Andre Goncalves's research come primarily from United States, China and Brazil, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
