H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 5,443 392 World Ranking 3638 National Ranking 82

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Database

His primary areas of study are Data mining, Online analytical processing, Data cube, Data warehouse and Wireless sensor network. The Data mining study combines topics in areas such as Semantics and Data compression. His Online analytical processing research integrates issues from Data science, Data stream, Data structure, Privacy preserving and Big data.

His Big data research includes themes of Analytics and Cloud computing. His research in Data cube intersects with topics in Scalability, Set and Data domain. His work is dedicated to discovering how Data warehouse, Business intelligence are connected with Cluster analysis, k-means clustering, Competitive intelligence, Benchmark and Secure multi-party computation and other disciplines.

His most cited work include:

  • Analytics over large-scale multidimensional data: the big data revolution! (249 citations)
  • Big data: a research agenda (98 citations)
  • Data warehousing and OLAP over big data: current challenges and future research directions (88 citations)

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

Alfredo Cuzzocrea mostly deals with Big data, Data mining, Data science, Online analytical processing and Data warehouse. The study incorporates disciplines such as Context, World Wide Web, Variety, Artificial intelligence and Cloud computing in addition to Big data. His work in Data mining tackles topics such as Wireless sensor network which are related to areas like Distributed computing.

His Data science study combines topics from a wide range of disciplines, such as Information privacy and Knowledge extraction. His studies deal with areas such as Privacy preserving, Data cube and Benchmark as well as Online analytical processing. His research on Data warehouse often connects related topics like Relational database.

He most often published in these fields:

  • Big data (28.69%)
  • Data mining (26.63%)
  • Data science (26.80%)

What were the highlights of his more recent work (between 2016-2021)?

  • Big data (28.69%)
  • Data science (26.80%)
  • Artificial intelligence (12.89%)

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

His primary scientific interests are in Big data, Data science, Artificial intelligence, Machine learning and Context. Alfredo Cuzzocrea has researched Big data in several fields, including Information privacy, Data warehouse, Online analytical processing, Variety and Cloud computing. Alfredo Cuzzocrea regularly links together related areas like Data cube in his Online analytical processing studies.

His Data science research incorporates elements of Privacy preserving, Big data management and Data analysis. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Pattern recognition, Task and Natural language processing. The concepts of his Machine learning study are interwoven with issues in Business process and Graph.

Between 2016 and 2021, his most popular works were:

  • Fighting fake news spread in online social networks: Actual trends and future research directions (21 citations)
  • Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds (19 citations)
  • AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning. (17 citations)

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

  • Artificial intelligence
  • Operating system
  • Machine learning

Big data, Data science, Artificial intelligence, Machine learning and Variety are his primary areas of study. His Big data study combines topics from a wide range of disciplines, such as Predictive analytics, Social network, Knowledge extraction, Uncertain data and Data analysis. His study in the fields of Analytics under the domain of Data science overlaps with other disciplines such as Popularity.

His Artificial intelligence research is multidisciplinary, relying on both Algorithm and Phishing. In his study, Conceptual architecture, Performance indicator, Robustness, Usability and Scalability is strongly linked to Business process, which falls under the umbrella field of Machine learning. His work focuses on many connections between Variety and other disciplines, such as Volume, that overlap with his field of interest in Online analytical processing.

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

Analytics over large-scale multidimensional data: the big data revolution!

Alfredo Cuzzocrea;Il-Yeol Song;Karen C. Davis.
data warehousing and olap (2011)

428 Citations

Data warehousing and OLAP over big data: current challenges and future research directions

Alfredo Cuzzocrea;Ladjel Bellatreche;Il-Yeol Song.
data warehousing and olap (2013)

155 Citations

Big data: a research agenda

Alfredo Cuzzocrea;Domenico Saccà;Jeffrey D. Ullman.
international database engineering and applications symposium (2013)

135 Citations

Privacy and Security of Big Data: Current Challenges and Future Research Perspectives

Alfredo Cuzzocrea.
conference on information and knowledge management (2014)

125 Citations

XPath lookup queries in P2P networks

Angela Bonifati;Ugo Matrangolo;Alfredo Cuzzocrea;Mayank Jain.
web information and data management (2004)

114 Citations

Edge betweenness centrality: A novel algorithm for QoS-based topology control over wireless sensor networks

Alfredo Cuzzocrea;Alexis Papadimitriou;Dimitrios Katsaros;Yannis Manolopoulos.
Journal of Network and Computer Applications (2012)

100 Citations

Analytics over Big Data: Exploring the Convergence of DataWarehousing, OLAP and Data-Intensive Cloud Infrastructures

Alfredo Cuzzocrea.
computer software and applications conference (2013)

85 Citations

Mining constrained frequent itemsets from distributed uncertain data

Alfredo Cuzzocrea;Carson Kai-Sang Leung;Richard Kyle MacKinnon.
Future Generation Computer Systems (2014)

84 Citations

Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models

Carson Kai-Sang Leung;Alfredo Cuzzocrea;Fan Jiang.
Trans. Large-Scale Data- and Knowledge-Centered Systems (2013)

79 Citations

Big Data: Algorithms, Analytics, and Applications

Kuan-Ching Li;Hai Jiang;Laurence T. Yang;Alfredo Cuzzocrea.
(2015)

77 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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