Peter J. Angeline

40 papers receiving 1.9k citations

Hit Papers

An evolutionary algorithm that constructs recurrent neura...199420262004201519942002200400600

Peers

Peter J. Angeline
Comparison fields: 5 of 126
  • Artificial Intelligence 1.6k
  • Computational Theory and Mathematics 360
  • Control and Systems Engineering 356
  • Electrical and Electronic Engineering 219
  • Molecular Biology 180
Replace Hitoshi Iba with:
Hitoshi Iba Japan
Xingshi He China
Terence C. Fogarty United Kingdom
Lashon B. Booker United States
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Conor Ryan Ireland
Madana Srinivas India
Roman Šenkeřík Czechia
Brad L. Miller United States
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Countries citing papers authored by Peter J. Angeline

Since Specialization
Citations

This map shows the geographic impact of Peter J. Angeline's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter J. Angeline with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Angeline more than expected).

Fields of papers citing papers by Peter J. Angeline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Angeline. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter J. Angeline. The network helps show where Peter J. Angeline may publish in the future.

Co-authorship network of co-authors of Peter J. Angeline

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Angeline. A scholar is included among the top collaborators of Peter J. Angeline based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Angeline. Peter J. Angeline is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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Advances in genetic programming: volume 3
17
3 1
4 18
5 13
6 1
7 3
8 23
9
The Effects of Noise on Self-Adaptive Evolutionary Optimization.
10
10
Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming
37
11
Advances in genetic programming: volume 2
14
12
A Comparison of Self-Adaptation Methods for Finite State Machines in Dynamic Environments.
17
13
Genetically Optimizing The Speed of Programs Evolved to Play Tetris
1
14
Massively Parallel Genetic Programming
3
15 22
16
Morphogenic Evolutionary Computations: Introduction, Issues and Example.
22
17
An evolutionary algorithm that constructs recurrent neural networksbreakdown →
658
18
Structural and Behavioral Evolution of Recurrent Networks
5
19
Competitive Environments Evolve Better Solutions for Complex Tasks
175
20
Evolutionary Module Acquisition
63

About Peter J. Angeline

Peter J. Angeline is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (39 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computational Theory and Mathematics (360 citations) and Control and Systems Engineering (356 citations). Peter J. Angeline has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Jordan Pollack, Gregory M. Saunders, David B. Fogel, Lawrence J. Fogel, Thomas Bäck, Kumar Chellapilla, Una-May O’Reilly, Lee Spector, William B. Langdon and Robert G. Reynolds. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Intelligent Systems and Evolutionary Computation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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