H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,297 118 World Ranking 8106 National Ranking 68

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Data mining, Genetic algorithm, Machine learning and Cluster analysis. Her Artificial intelligence research includes elements of Fractal dimension and Pattern recognition. Her work carried out in the field of Data mining brings together such families of science as Algorithm, Change detection and Data set.

Clara Pizzuti has included themes like Cellular automaton, Community structure and Complex network in her Genetic algorithm study. Her Community structure research is multidisciplinary, incorporating elements of Mutual information, Set and Fitness function. She combines subjects such as Class, Topology and Population based with her study of Machine learning.

Her most cited work include:

  • Fast Outlier Detection in High Dimensional Spaces (475 citations)
  • GA-Net: A Genetic Algorithm for Community Detection in Social Networks (327 citations)
  • Outlier mining in large high-dimensional data sets (289 citations)

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

Her scientific interests lie mostly in Artificial intelligence, Data mining, Cluster analysis, Machine learning and Genetic algorithm. Her study ties her expertise on Pattern recognition together with the subject of Artificial intelligence. Her research in Data mining intersects with topics in Modularity, Set and Data set.

Her Cluster analysis research incorporates themes from Knowledge extraction and Partition. The concepts of her Genetic algorithm study are interwoven with issues in Algorithm, Community structure and Complex network. Her Algorithm research is multidisciplinary, incorporating perspectives in Point and Biclustering.

She most often published in these fields:

  • Artificial intelligence (40.00%)
  • Data mining (32.90%)
  • Cluster analysis (29.68%)

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

  • Complex network (17.42%)
  • Genetic algorithm (22.58%)
  • Mathematical optimization (7.10%)

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

Clara Pizzuti mainly investigates Complex network, Genetic algorithm, Mathematical optimization, Social media and Epidemic model. Her Complex network study incorporates themes from Evolutionary computation, Crossover, Robustness, Artificial intelligence and Community structure. Her Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Natural language processing.

Her work in the fields of Machine learning, such as Human-based evolutionary computation, intersects with other areas such as Context. Her Similarity course of study focuses on Data mining and Layer. Within one scientific family, she focuses on topics pertaining to Graph under Cluster analysis, and may sometimes address concerns connected to Multi-objective optimization.

Between 2017 and 2021, her most popular works were:

  • Evolutionary Computation for Community Detection in Networks: A Review (70 citations)
  • Bursty Event Detection in Twitter Streams (12 citations)
  • Multiobjective Optimization and Local Merge for Clustering Attributed Graphs (11 citations)

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

  • Artificial intelligence
  • Algorithm
  • Machine learning

Clara Pizzuti mainly focuses on Complex network, Genetic algorithm, Mathematical optimization, Social media and Community structure. Her Complex network study integrates concerns from other disciplines, such as Theoretical computer science, Genetic representation, Cluster analysis, Artificial intelligence and Network topology. Her Artificial intelligence study combines topics in areas such as Node, Link and Pattern recognition.

Her studies deal with areas such as Laplacian matrix and Brute-force search as well as Genetic algorithm. Her biological study spans a wide range of topics, including Cybernetics, Fitness function, Graph and Multi-objective optimization. Her research investigates the connection between Online algorithm and topics such as Data science that intersect with issues in Evolutionary music, Machine learning, Evolutionary computation, Human-based evolutionary computation and Representation.

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

Fast Outlier Detection in High Dimensional Spaces

Fabrizio Angiulli;Clara Pizzuti.
european conference on principles of data mining and knowledge discovery (2002)

719 Citations

GA-Net: A Genetic Algorithm for Community Detection in Social Networks

Clara Pizzuti.
parallel problem solving from nature (2008)

470 Citations

Outlier mining in large high-dimensional data sets

F. Angiulli;C. Pizzuti.
IEEE Transactions on Knowledge and Data Engineering (2005)

459 Citations

Distance-based detection and prediction of outliers

F. Angiulli;S. Basta;C. Pizzuti.
IEEE Transactions on Knowledge and Data Engineering (2006)

336 Citations

A Multiobjective Genetic Algorithm to Find Communities in Complex Networks

C. Pizzuti.
IEEE Transactions on Evolutionary Computation (2012)

282 Citations

An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks

Francesco Folino;Clara Pizzuti.
IEEE Transactions on Knowledge and Data Engineering (2014)

176 Citations

An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams

G. Folino;C. Pizzuti;G. Spezzano.
international conference on tools with artificial intelligence (2007)

138 Citations

A Multi-objective Genetic Algorithm for Community Detection in Networks

Clara Pizzuti.
international conference on tools with artificial intelligence (2009)

132 Citations

Community detection in social networks with genetic algorithms

Clara Pizzuti.
genetic and evolutionary computation conference (2008)

94 Citations

A single pass algorithm for clustering evolving data streams based on swarm intelligence

Agostino Forestiero;Clara Pizzuti;Giandomenico Spezzano.
Data Mining and Knowledge Discovery (2013)

93 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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