H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 71 Citations 25,691 330 World Ranking 773 National Ranking 12

Research.com Recognitions

Awards & Achievements

2013 - ACM Fellow For contributions to database management, including distributed databases, rule-processing, and search computing.

2011 - Member of Academia Europaea

Overview

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.

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.

Top Publications

Conceptual Database Design: An Entity-Relationship Approach

Carlo Batini;Stefano Ceri;Shamkant B. Navathe.
(1991)

1879 Citations

Web Modeling Language (WebML): a modeling language for designing Web sites

Stefano Ceri;Piero Fraternali;Aldo Bongio.
the web conference (2000)

1508 Citations

Distributed databases : principles and systems

Stefano Ceri;Giuseppe Pelagatti.
(1984)

1488 Citations

Active Database Systems: Triggers and Rules for Advanced Database Processing

Umeshwar Dayal;Jennifer Widom;Stefano Ceri.
(1994)

1378 Citations

Logic programming and databases

Stefano Ceri;Georg Gottlob;Letizia Tanca.
(1990)

1172 Citations

What you always wanted to know about Datalog (and never dared to ask)

S. Ceri;G. Gottlob;L. Tanca.
IEEE Transactions on Knowledge and Data Engineering (1989)

779 Citations

Designing Data-Intensive Web Applications

Stefano Ceri;Piero Fraternali;Aldo Bongio;Marco Brambilla.
(2002)

722 Citations

Vertical partitioning algorithms for database design

Shamkant Navathe;Stefano Ceri;Gio Wiederhold;Jinglie Dou.
ACM Transactions on Database Systems (1984)

604 Citations

Deriving Production Rules for Incremental View Maintenance

Stefano Ceri;Jennifer Widom.
very large data bases (1991)

573 Citations

Deriving Production Rules for Constraint Maintainance

Stefano Ceri;Jennifer Widom.
very large data bases (1990)

542 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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