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Researcher · Universidade Federal de Minas Gerais · Brazil

Fabrí­cio Benevenuto

Fabrí­cio Benevenuto publishes mostly in Artificial Intelligence, Sociology and Political Science and Information Systems, on topics such as Misinformation and Its Impacts, Spam and Phishing Detection and Social Media and Politics.

ORCID 0000-0001-6875-6259 OpenAlex
World rank
#66,012
of 7,710,434 ranked researchers
Rank in Brazil
#180
of 253,246
Works
300
Citations
12k
Citations per work
41.3
h-index
48
i10-index 114Top 1.2% in Artificial Intelligence
Fabrí­cio Benevenuto

What does Fabrí­cio Benevenuto research?

Fabrí­cio Benevenuto's work is mostly in Computer Science (42%), Social Sciences (31%), Physics and Astronomy (9%).

Physical Sciences: 152 works · 50.5% of their workComputer Science: 125 works · 41.6% of their workArtificial Intelligence: 59 works · 19.6% of their workInformation Systems: 47 works · 15.8% of their workComputer Networks and Communications: 19 works · 6.2% of their workPhysics and Astronomy: 27 works · 8.9% of their workStatistical and Nonlinear Physics: 27 works · 8.9% of their workSocial Sciences: 92 works · 30.6% of their workSocial Sciences: 92 works · 30.6% of their workSociology and Political Science: 57 works · 19.1% of their workCommunication: 34 works · 11.5% of their workEverything else: 57 works · 18.9% of their workTHEIR WORKFabrí­cioBenevenuto300works
Physical Sciences50%Social Sciences31%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science12541.6%
    2. Physics and Astronomy278.9%
    1. Social Sciences9230.6%
  3. Everything else5718.9%
  1. 1Artificial Intelligence20% of their works
  2. 2Sociology and Political Science19% of their works
  3. 3Information Systems16% of their works
  4. 4Communication12% of their works
  5. 5Statistical and Nonlinear Physics9% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Fabrí­cio Benevenuto's research?

The keywords of their largest research topics: Social Media, Machine Learning, Polarization, Fake News, Misinformation, Deep Learning, Phishing and Spam Detection.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Social Media2344 topics
  2. Machine Learning1623 topics
  3. Polarization1122 topics
  4. Fake News881 topic
  5. Misinformation881 topic
  6. Deep Learning832 topics
  7. Phishing791 topic
  8. Spam Detection791 topic
  9. Network Dynamics672 topics
  10. Social Influence672 topics
  11. Digital Divide631 topic
  12. Political Participation631 topic
  13. Opinion Mining441 topic
  14. Sentiment Analysis441 topic
  15. Community Structure431 topic
  16. Scale-Free Networks431 topic
  17. Detection391 topic
  18. Hate Speech391 topic
  19. Bounded Confidence241 topic
  20. Opinion Dynamics241 topic
  21. Neural Networks191 topic
  22. Word Representation191 topic

Where does Fabrí­cio Benevenuto work?

Fabrí­cio Benevenuto's main affiliation in the publication record is Universidade Federal de Minas Gerais, Brazil.

How many publications and citations does Fabrí­cio Benevenuto have?

OpenAlex counts 300 works and 12,386 citations for Fabrí­cio Benevenuto, an h-index of 48, ranking #66,012 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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