What is he best known for?
The fields of study he is best known for:
- Programming language
- Database
- The Internet
Stefano Ceri spends much of his time researching Data mining, Database, World Wide Web, Programming language and Database design.
His Data mining research includes themes of Consistency, SQL, Set and Theoretical computer science.
His study on Web application, Web modeling, Social network and Crowdsourcing is often connected to Research literature as part of broader study in World Wide Web.
His studies deal with areas such as Web development and Software engineering as well as Web modeling.
His Programming language research includes elements of Query language, Relational database and Constraint.
The various areas that he examines in his Database design study include Data modeling and Distributed database.
His most cited work include:
- Web Modeling Language (WebML): a modeling language for designing Web sites (915 citations)
- Conceptual Database Design: An Entity-Relationship Approach (823 citations)
- Logic programming and databases (657 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are World Wide Web, Information retrieval, Programming language, Data science and Web modeling.
His World Wide Web study focuses mostly on Web service, Web application, Web development, Web navigation and Data Web.
His research investigates the connection with Web application and areas like Software engineering which intersect with concerns in Workflow.
His Programming language research integrates issues from Relational database and Relational algebra.
The Web modeling study combines topics in areas such as Web standards, Web design and Web application security.
He has included themes like Query by Example, XML and Query optimization in his Query language study.
He most often published in these fields:
- World Wide Web (22.13%)
- Information retrieval (13.88%)
- Programming language (11.28%)
What were the highlights of his more recent work (between 2016-2021)?
- Data science (10.63%)
- Metadata (4.77%)
- Information retrieval (13.88%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Data science, Metadata, Information retrieval, Social media and Computational biology.
His research integrates issues of Data management, Social network, Field, Genomics and Pipeline in his study of Data science.
His Data management study is focused on Database in general.
His Metadata research incorporates themes from Visualization, Open data, Software and Data integration.
His work carried out in the field of Information retrieval brings together such families of science as RefSeq, Domain knowledge, Interface and Computational sociology.
His Query language study contributes to a more complete understanding of Data mining.
Between 2016 and 2021, his most popular works were:
- False News On Social Media: A Data-Driven Survey (28 citations)
- Extracting Emerging Knowledge from Social Media (26 citations)
- Topology comparison of Twitter diffusion networks effectively reveals misleading information. (25 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Database
- The Internet
Stefano Ceri mainly investigates Metadata, Data science, Social media, Data integration and Information retrieval.
His Metadata research is multidisciplinary, relying on both Software, Interoperability and Database.
His Query optimization study in the realm of Database connects with subjects such as Data selection.
He has researched Data science in several fields, including Data modeling, Data management, Social network, Pipeline and Big data.
To a larger extent, Stefano Ceri studies World Wide Web with the aim of understanding Social media.
Stefano Ceri interconnects Layer, Representation, Interface and RefSeq in the investigation of issues within Information retrieval.
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