D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 43 Citations 12,701 157 World Ranking 4908 National Ranking 15

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • World Wide Web
  • Artificial intelligence

Fabrício Benevenuto mostly deals with World Wide Web, Internet privacy, Social media, Social network and Popularity. His World Wide Web research includes themes of Feature and Information retrieval. Fabrício Benevenuto has researched Internet privacy in several fields, including Session, Order, Cybercrime and Reverse engineering.

His Social media research integrates issues from Online video, Space, Phishing, Variety and Data science. The Social network study combines topics in areas such as Authentication and News aggregator. His Popularity study integrates concerns from other disciplines, such as Sentiment analysis, Open API, Social search, Opinion leadership and Key.

His most cited work include:

  • Measuring User Influence in Twitter: The Million Follower Fallacy (2181 citations)
  • Characterizing user behavior in online social networks (689 citations)
  • Understanding and combating link farming in the twitter social network (305 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in World Wide Web, Social media, Internet privacy, Popularity and Sentiment analysis. He performs multidisciplinary study in the fields of World Wide Web and Dynamics via his papers. His Social media research is multidisciplinary, incorporating perspectives in Space, Advertising, Social system, Data science and Set.

The concepts of his Internet privacy study are interwoven with issues in Misinformation, Scale and Anonymity. Fabrício Benevenuto interconnects Open API, Web service, Upload, Information retrieval and Measure in the investigation of issues within Popularity. His studies in Sentiment analysis integrate themes in fields like Context, Key and Field.

He most often published in these fields:

  • World Wide Web (36.52%)
  • Social media (34.83%)
  • Internet privacy (24.72%)

What were the highlights of his more recent work (between 2019-2021)?

  • Social media (34.83%)
  • Internet privacy (24.72%)
  • Misinformation (8.99%)

In recent papers he was focusing on the following fields of study:

His main research concerns Social media, Internet privacy, Misinformation, Advertising and Fake news. His Social media research is multidisciplinary, relying on both Brazilian Portuguese and Set. His work carried out in the field of Set brings together such families of science as World Wide Web and Personally identifiable information.

His Internet privacy research is multidisciplinary, incorporating elements of Affect and Lexicon. His research in Misinformation tackles topics such as Encryption which are related to areas like Fact checking and Popularity. His Social system study combines topics in areas such as Space and Social network.

Between 2019 and 2021, his most popular works were:

  • A comparative study of machine translation for multilingual sentence-level sentiment analysis (13 citations)
  • Tackling misinformation: What researchers could do with social media data (8 citations)
  • Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook (7 citations)

In his most recent research, the most cited papers focused on:

  • The Internet
  • Artificial intelligence
  • World Wide Web

Fabrício Benevenuto mainly investigates Social media, Internet privacy, Distribution, Misinformation and Leverage. He performs multidisciplinary study on Social media and Emigration in his works. Fabrício Benevenuto combines topics linked to Targeted advertising with his work on Internet privacy.

His work in Distribution incorporates the disciplines of Measure, Clothing, Cultural distance, Order and Context. Fabrício Benevenuto has included themes like Fake news and Agency in his Misinformation study. His studies link Data science with Leverage.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Measuring User Influence in Twitter: The Million Follower Fallacy

Meeyoung Cha;Hamed Haddadi;Fabr´ıcio Benevenuto;Krishna P. Gummadi.
international conference on weblogs and social media (2010)

4260 Citations

Characterizing user behavior in online social networks

Fabrício Benevenuto;Tiago Rodrigues;Meeyoung Cha;Virgílio Almeida.
internet measurement conference (2009)

1149 Citations

Understanding and combating link farming in the twitter social network

Saptarshi Ghosh;Bimal Viswanath;Farshad Kooti;Naveen Kumar Sharma.
the web conference (2012)

491 Citations

Comparing and combining sentiment analysis methods

Pollyanna Gonçalves;Matheus Araújo;Fabrício Benevenuto;Meeyoung Cha.
conference on online social networks (2013)

475 Citations

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

Filipe N Ribeiro;Filipe N Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Marcos André Gonçalves.
EPJ Data Science (2016)

367 Citations

The tube over time: characterizing popularity growth of youtube videos

Flavio Figueiredo;Fabrício Benevenuto;Jussara M. Almeida.
web search and data mining (2011)

358 Citations

Detecting spammers and content promoters in online video social networks

Fabrício Benevenuto;Tiago Rodrigues;Virgílio Almeida;Jussara Almeida.
international acm sigir conference on research and development in information retrieval (2009)

297 Citations

Dengue surveillance based on a computational model of spatio-temporal locality of Twitter

Janaína Gomide;Adriano Veloso;Wagner Meira;Virgílio Almeida.
web science (2011)

294 Citations

Cognos: crowdsourcing search for topic experts in microblogs

Saptarshi Ghosh;Naveen Sharma;Fabricio Benevenuto;Niloy Ganguly.
international acm sigir conference on research and development in information retrieval (2012)

256 Citations

Supervised Learning for Fake News Detection

Julio C. S. Reis;Andre Correia;Fabricio Murai;Adriano Veloso.
IEEE Intelligent Systems (2019)

212 Citations

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