H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 30,757 136 World Ranking 2123 National Ranking 1159

Research.com Recognitions

Awards & Achievements

2008 - Evolutionary Computation Pioneer Award, IEEE Computational Intelligence Society

2007 - Meritorious Service Award, IEEE Computational Intelligence Society

2004 - IEEE Kiyo Tomiyasu Award “For outstanding contributions to the science and technology of computational intelligence and to the development and expansion of that field.”

1999 - IEEE Fellow For contributions to the scientific advancement of evolutionary computation.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of investigation include Artificial intelligence, Evolutionary computation, Evolutionary programming, Evolutionary algorithm and Artificial neural network. His Artificial intelligence study combines topics in areas such as Iterated function and Machine learning. The Evolutionary computation study combines topics in areas such as Theoretical computer science, Imperialist competitive algorithm, Field, Genetic algorithm and Data science.

His Evolutionary programming study incorporates themes from Algorithm and Genetic programming, Genetic representation. His Evolutionary algorithm study combines topics from a wide range of disciplines, such as Simulated annealing, Tabu search, Branch and bound, Local search and Heuristic. His Artificial neural network research is multidisciplinary, incorporating perspectives in Discrete mathematics, Global optimum, Local optimum and Parallel processing.

His most cited work include:

  • Evolutionary Computation: Towards a New Philosophy of Machine Intelligence (2284 citations)
  • Handbook of Evolutionary Computation (2148 citations)
  • How to Solve It: Modern Heuristics (1651 citations)

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

David B. Fogel mainly focuses on Artificial intelligence, Evolutionary computation, Evolutionary programming, Evolutionary algorithm and Artificial neural network. In the subject of general Artificial intelligence, his work in Evolutionary acquisition of neural topologies, Computational intelligence and Pattern recognition is often linked to Process, thereby combining diverse domains of study. In his study, Programming language is strongly linked to Genetic programming, which falls under the umbrella field of Evolutionary computation.

His biological study spans a wide range of topics, including Evolution strategy and Genetic representation. His research investigates the connection between Evolutionary algorithm and topics such as Algorithm that intersect with problems in Set. David B. Fogel combines topics linked to Fuzzy control system with his work on Artificial neural network.

He most often published in these fields:

  • Artificial intelligence (47.12%)
  • Evolutionary computation (35.25%)
  • Evolutionary programming (34.89%)

What were the highlights of his more recent work (between 2003-2018)?

  • Artificial intelligence (47.12%)
  • Evolutionary algorithm (24.10%)
  • Evolutionary computation (35.25%)

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

David B. Fogel mainly investigates Artificial intelligence, Evolutionary algorithm, Evolutionary computation, Artificial neural network and Evolutionary programming. In his work, Computer program and Prolog is strongly intertwined with Machine learning, which is a subfield of Artificial intelligence. David B. Fogel has researched Evolutionary algorithm in several fields, including Entertainment, Evaluation function and Adaptation.

His studies in Evolutionary computation integrate themes in fields like Management science, Field, Human–computer interaction, Game theory and Software. His work investigates the relationship between Artificial neural network and topics such as Computational intelligence that intersect with problems in Fuzzy control system, Data science, World Wide Web, Tournament and Artificial Intelligence System. In his study, Learnable Evolution Model and Genetic representation is inextricably linked to Evolution strategy, which falls within the broad field of Evolutionary programming.

Between 2003 and 2018, his most popular works were:

  • How to Solve It: Modern Heuristics (1651 citations)
  • An Evolutionary Approach (403 citations)
  • Intelligently interactive profiling system and method (83 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary scientific interests are in Artificial intelligence, Evolutionary computation, Evolutionary algorithm, Operations research and Outcome. His work in the fields of Artificial neural network and Robot overlaps with other areas such as Ant robotics. The study incorporates disciplines such as Intelligent control, Local optimum, Computational intelligence and Fuzzy control system in addition to Artificial neural network.

David B. Fogel is involved in the study of Evolutionary computation that focuses on Evolutionary music in particular. His study in Evolutionary acquisition of neural topologies, Human-based evolutionary computation, Evolutionary programming, Java Evolutionary Computation Toolkit and Interactive evolutionary computation is carried out as part of his studies in Evolutionary algorithm. His study focuses on the intersection of Operations research and fields such as Automatic testing with connections in the field of Heuristics.

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

Handbook of Evolutionary Computation

Thomas Back;David B. Fogel;Zbigniew Michalewicz.
(1997)

4041 Citations

Evolutionary Computation: Towards a New Philosophy of Machine Intelligence

David B. Fogel.
(1995)

3832 Citations

How to Solve It: Modern Heuristics

Zbigniew Michalewicz;David B. Fogel.
(2004)

3456 Citations

Artificial Intelligence through Simulated Evolution

David B. Fogel.
(1998)

2840 Citations

An introduction to simulated evolutionary optimization

D.B. Fogel.
IEEE Transactions on Neural Networks (1994)

2811 Citations

Evolutionary Computation 1 : Basic Algorithms and Operators

Thomas Baeck;D.B Fogel;Z Michalewicz.
(2000)

1639 Citations

Evolutionary Computation 1

Thomas Bck;David B Fogel;Zbigniew Michalewicz.
(2000)

1083 Citations

Evolutionary Computation 2

Thomas Bck;David B Fogel;Zbigniew Michalewicz.
(2000)

940 Citations

Rapid automated molecular replacement by ­evolutionary search

Charles R. Kissinger;Daniel K. Gehlhaar;David B. Fogel.
Acta Crystallographica Section D-biological Crystallography (1999)

874 Citations

Evolutionary Computation: The Fossil Record

David B. Fogel.
(1998)

638 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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