H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 5,113 172 World Ranking 8433 National Ranking 3926

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the American Association for the Advancement of Science (AAAS)

2008 - ACM Distinguished Member

1997 - IEEE Fellow For contributions to database and data modeling theory.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Database

Frederick E. Petry mainly investigates Data mining, Fuzzy logic, Artificial intelligence, Relational database and Fuzzy set. In the field of Data mining, his study on Database design overlaps with subjects such as Conflation. His Fuzzy logic research incorporates elements of Algorithm, Data model and Control theory.

His study looks at the relationship between Relational database and topics such as Theoretical computer science, which overlap with Query language, Relational algebra, Truth function and Ranking. His Fuzzy set research includes elements of Vagueness and Point. His work carried out in the field of Relational model brings together such families of science as Dominance-based rough set approach, Rough set and Conjunctive query.

His most cited work include:

  • Principles and Applications (2317 citations)
  • A fuzzy representation of data for relational databases (574 citations)
  • Information-theoretic measures of uncertainty for rough sets and rough relational databases (217 citations)

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

His primary areas of investigation include Data mining, Fuzzy logic, Artificial intelligence, Fuzzy set and Information retrieval. His Data mining research is multidisciplinary, incorporating perspectives in Fuzzy set operations and Spatial analysis. His Fuzzy logic study combines topics from a wide range of disciplines, such as Theoretical computer science, Set and Data model.

His Cluster analysis study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Generalization, bridging the gap between disciplines. His Information retrieval research integrates issues from Knowledge extraction, Database and Relevance feedback. His Relation research extends to Relational database, which is thematically connected.

He most often published in these fields:

  • Data mining (42.29%)
  • Fuzzy logic (29.52%)
  • Artificial intelligence (26.87%)

What were the highlights of his more recent work (between 2012-2021)?

  • Data mining (42.29%)
  • Artificial intelligence (26.87%)
  • Fuzzy logic (29.52%)

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

Frederick E. Petry mostly deals with Data mining, Artificial intelligence, Fuzzy logic, Probability distribution and Probabilistic logic. His study in Data mining is interdisciplinary in nature, drawing from both Fuzzy set operations, Measure and Geospatial analysis. Frederick E. Petry has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.

His research integrates issues of Possibility theory, Possibility distribution, Range, Entropy and Process in his study of Probability distribution. Frederick E. Petry has included themes like Information theory, Functional dependency, Relational database and Information system design in his Rough set study. His primary area of study in Relational database is in the field of Relational model.

Between 2012 and 2021, his most popular works were:

  • Soft likelihood functions in combining evidence (39 citations)
  • An intelligent quality-based approach to fusing multi-source probabilistic information (23 citations)
  • Combining uncertain information of differing modalities (15 citations)

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

  • Artificial intelligence
  • Machine learning
  • Database

His primary scientific interests are in Data mining, Probability distribution, Probabilistic logic, Artificial intelligence and Choquet integral. The concepts of his Data mining study are interwoven with issues in Multi-source, Geospatial analysis, Measure, Jaccard index and Object. His studies deal with areas such as Possibility theory, Entropy and Possibility distribution as well as Probability distribution.

Frederick E. Petry works mostly in the field of Artificial intelligence, limiting it down to concerns involving Pattern recognition and, occasionally, Random forest. His Choquet integral study necessitates a more in-depth grasp of Fuzzy logic. Frederick E. Petry specializes in Fuzzy logic, namely Fuzzy measure theory.

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

Principles and Applications

Frederick E. Petry.
(1997)

3848 Citations

A fuzzy representation of data for relational databases

Billy P Buckles;Frederick E Petry.
Fuzzy Sets and Systems (1982)

856 Citations

Fuzzy Databases: Principles and Applications

Fred Petry;Patrick Bosc.
(2012)

374 Citations

Genetic Algorithms

Bill P. Buckles;Frederick Petry.
(1992)

334 Citations

Information-theoretic measures of uncertainty for rough sets and rough relational databases

Theresa Beaubouef;Frederick E. Petry;Gurdial Arora.
Information Sciences (1998)

321 Citations

A Rule-based Approach for the Conflation of Attributed Vector Data

Maria A. Cobb;Miyi J. Chung;Harold Foley;Frederick E. Petry.
Geoinformatica (1998)

240 Citations

A variable-length genetic algorithm for clustering and classification

R. Srikanth;R. George;N. Warsi;D. Prabhu.
Pattern Recognition Letters (1995)

127 Citations

Scene recognition using genetic algorithms with semantic nets

C. A. Ankenbrandt;B. P. Buckles;F. E. Petry.
Pattern Recognition Letters (1990)

124 Citations

Fuzzy Modeling with Spatial Information for Geographic Problems

Frederick E. Petry;Vincent B. Robinson;Maria A. Cobb.
(2008)

119 Citations

Extending the fuzzy database with fuzzy numbers

Billy P. Buckles;Frederick E. Petry.
Information Sciences (1984)

111 Citations

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