What is he best known for?
The fields of study Emilio Ferrara is best known for:
- Statistics
- Social network analysis
- Machine learning
In the subject of general Modularity (biology), his work in Genetics is often linked to Theoretical computer science and Operating system, thereby combining diverse domains of study.
His Genetics study frequently links to adjacent areas such as Modularity (biology).
Emilio Ferrara integrates many fields in his works, including Operating system and World Wide Web.
He regularly links together related areas like Complex network in his World Wide Web studies.
Social network (sociolinguistics) and Social network analysis are the two main areas of interest in his Social media studies.
Artificial intelligence is connected with Sentiment analysis, Theoretical computer science, Machine learning and Data science in his study.
Emilio Ferrara merges Sentiment analysis with Social media in his research.
In his works, Emilio Ferrara undertakes multidisciplinary study on Machine learning and Artificial intelligence.
Presidential election, Presidential system, Public opinion, Social movement and Democracy are closely tied to his Politics research.
His most cited work include:
- The rise of social bots (1247 citations)
- Graph embedding techniques, applications, and performance: A survey (1184 citations)
- Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set (463 citations)
What are the main themes of his work throughout his whole career to date
Artificial intelligence is connected with Data mining and Data science in his study.
Emilio Ferrara performs multidisciplinary studies into Data mining and Artificial intelligence in his work.
Presidential election and Presidential system are all intrinsically tied to his study in Politics.
As part of his studies on Presidential system, he often connects relevant subjects like Politics.
His Social media study frequently draws connections between adjacent fields such as Social network (sociolinguistics).
His Social network (sociolinguistics) study frequently draws connections to adjacent fields such as Social media.
He conducted interdisciplinary study in his works that combined World Wide Web and Operating system.
He undertakes interdisciplinary study in the fields of Operating system and World Wide Web through his research.
His Law study typically links adjacent topics like Presidential election.
Emilio Ferrara most often published in these fields:
- Social media (57.89%)
- World Wide Web (49.47%)
- Law (40.00%)
What were the highlights of his more recent work (between 2020-2022)?
- Social media (66.67%)
- Internet privacy (66.67%)
- Coronavirus disease 2019 (COVID-19) (66.67%)
In recent works Emilio Ferrara was focusing on the following fields of study:
As a member of one scientific family, Emilio Ferrara mostly works in the field of Data collection, focusing on Social science and, on occasion, Content analysis.
He links adjacent fields of study such as Leverage (statistics) and Data set in the subject of Artificial intelligence.
His Linguistics study frequently draws connections between adjacent fields such as Narrative and Premise.
His study on Narrative is mostly dedicated to connecting different topics, such as Linguistics.
Emilio Ferrara combines Social media and Advertising in his studies.
In his work, Emilio Ferrara performs multidisciplinary research in Advertising and Social media.
He undertakes multidisciplinary investigations into Internet privacy and Computer security in his work.
As part of his studies on Computer security, he often connects relevant subjects like Echo (communications protocol).
His Coronavirus disease 2019 (COVID-19) study frequently draws connections between adjacent fields such as Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Between 2020 and 2022, his most popular works were:
- COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies (105 citations)
- Gender Disparity in the Authorship of Biomedical Research Publications During the COVID-19 Pandemic: Retrospective Observational Study (49 citations)
- #Election2020: the first public Twitter dataset on the 2020 US Presidential election (29 citations)
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