D-Index & Metrics Best Publications

D-Index & Metrics

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 30 Citations 5,990 143 World Ranking 8559 National Ranking 250

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Artificial intelligence
  • Programming language

Stefano Rizzi spends much of his time researching Data warehouse, Data science, Information retrieval, Database and Business intelligence. His Data warehouse research integrates issues from Valid time, Systems engineering, User requirements document, Conceptual design and Dimensional modeling. His studies in Data science integrate themes in fields like Data integration, Sensor fusion, World Wide Web and Metadata repository.

His Information retrieval research includes themes of Conceptual schema, Document Structure Description and Personalization. As a member of one scientific family, Stefano Rizzi mostly works in the field of Conceptual schema, focusing on Database design and, on occasion, Data model. His Business intelligence study combines topics from a wide range of disciplines, such as Metadata discovery, Data element, Metadata and Slowly changing dimension.

His most cited work include:

  • THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES (429 citations)
  • Beyond data warehousing: what's next in business intelligence? (317 citations)
  • Conceptual design of data warehouses from E/R schemes (274 citations)

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

His scientific interests lie mostly in Data warehouse, Online analytical processing, Information retrieval, Data science and Business intelligence. The concepts of his Data warehouse study are interwoven with issues in Conceptual design, Software engineering and Dimensional modeling. His research integrates issues of Conceptual model, Conceptual schema and User requirements document in his study of Conceptual design.

His Information retrieval research is multidisciplinary, incorporating elements of Valid time, Efficient XML Interchange, Sargable and XML Schema Editor. His studies deal with areas such as Data modeling, Data visualization and Dimension as well as Data science. His Business intelligence research incorporates themes from Domain, Decision support system and Data integration.

He most often published in these fields:

  • Data warehouse (38.07%)
  • Online analytical processing (28.41%)
  • Information retrieval (23.30%)

What were the highlights of his more recent work (between 2017-2021)?

  • Online analytical processing (28.41%)
  • Data science (18.75%)
  • Information retrieval (23.30%)

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

Stefano Rizzi mainly focuses on Online analytical processing, Data science, Information retrieval, Data warehouse and Business intelligence. The subject of his Online analytical processing research is within the realm of Database. Within one scientific family, Stefano Rizzi focuses on topics pertaining to Data visualization under Data science, and may sometimes address concerns connected to Information visualization and Skyline.

His work carried out in the field of Information retrieval brings together such families of science as Set and Data cube. His studies in Data warehouse integrate themes in fields like Star schema, Baseline and Data analysis. His Business intelligence research includes elements of Decision support system, Data integration and Big data.

Between 2017 and 2021, his most popular works were:

  • Schema profiling of document-oriented databases (28 citations)
  • A Model-Driven Approach to Automate Data Visualization in Big Data Analytics (17 citations)
  • Interactive multidimensional modeling of linked data for exploratory OLAP (15 citations)

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

  • Artificial intelligence
  • Database
  • Programming language

Stefano Rizzi focuses on Online analytical processing, Data science, Big data, Data visualization and Database. His studies examine the connections between Online analytical processing and genetics, as well as such issues in Information retrieval, with regards to Extension. Stefano Rizzi combines subjects such as Data modeling and Data warehouse with his study of Data science.

He integrates several fields in his works, including Data warehouse and Wireless sensor network. His work in Big data tackles topics such as Data integration which are related to areas like Open data and Systems engineering. Much of his study explores Data visualization relationship to Business intelligence.

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

THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES

Matteo Golfarelli;Dario Maio;Stefano Rizzi.
International Journal of Cooperative Information Systems (1998)

721 Citations

Beyond data warehousing: what's next in business intelligence?

Matteo Golfarelli;Stefano Rizzi;Iuris Cella.
data warehousing and olap (2004)

546 Citations

Conceptual design of data warehouses from E/R schemes

M. Golfarelli;D. Maio;S. Rizzi.
hawaii international conference on system sciences (1998)

511 Citations

Data Warehouse Design: Modern Principles and Methodologies

Matteo Golfarelli;Stefano Rizzi.
(2009)

486 Citations

A methodological framework for data warehouse design

Matteo Golfarelli;Stefano Rizzi.
data warehousing and olap (1998)

341 Citations

Research in data warehouse modeling and design: dead or alive?

Stefano Rizzi;Alberto Abelló;Jens Lechtenbörger;Juan Trujillo.
data warehousing and olap (2006)

307 Citations

Goal-oriented requirement analysis for data warehouse design

Paolo Giorgini;Stefano Rizzi;Maddalena Garzetti.
data warehousing and olap (2005)

273 Citations

GRAnD: A goal-oriented approach to requirement analysis in data warehouses

Paolo Giorgini;Stefano Rizzi;Maddalena Garzetti.
decision support systems (2008)

252 Citations

Data warehouse design from XML sources

Matteo Golfarelli;Stefano Rizzi;Boris Vrdoljak.
data warehousing and olap (2001)

180 Citations

Designing the Data Warehouse: Key Steps and Crucial Issues

Matteo Golfarelli;Stefano Rizzi.
(1999)

176 Citations

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Best Scientists Citing Stefano Rizzi

Juan Trujillo

Juan Trujillo

University of Alicante

Publications: 103

Panos Vassiliadis

Panos Vassiliadis

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Torben Bach Pedersen

Torben Bach Pedersen

Aalborg University

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Mario Piattini

Mario Piattini

University of Castilla-La Mancha

Publications: 25

Alkis Simitsis

Alkis Simitsis

Micro Focus (United States)

Publications: 20

Eduardo Fernández-Medina

Eduardo Fernández-Medina

University of Castilla-La Mancha

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Anthony Stentz

Anthony Stentz

Carnegie Mellon University

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Il-Yeol Song

Il-Yeol Song

Drexel University

Publications: 16

Alfredo Cuzzocrea

Alfredo Cuzzocrea

University of Calabria

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Matteo Golfarelli

Matteo Golfarelli

University of Bologna

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Wenny Rahayu

Wenny Rahayu

La Trobe University

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Yannis Theodoridis

Yannis Theodoridis

University of Piraeus

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Edwin R. Hancock

Edwin R. Hancock

University of York

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Tharam S. Dillon

Tharam S. Dillon

La Trobe University

Publications: 10

Xavier Franch

Xavier Franch

Universitat Politècnica de Catalunya

Publications: 9

Enrico Franconi

Enrico Franconi

Free University of Bozen-Bolzano

Publications: 8

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