Peter J. Angeline

4.8k total citations · 2 hit papers
46 papers, 2.2k citations indexed

About

Peter J. Angeline is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Peter J. Angeline has authored 46 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Peter J. Angeline's work include Evolutionary Algorithms and Applications (39 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Neural Networks and Applications (8 papers). Peter J. Angeline is often cited by papers focused on Evolutionary Algorithms and Applications (39 papers), Metaheuristic Optimization Algorithms Research (24 papers) and Neural Networks and Applications (8 papers). Peter J. Angeline collaborates with scholars based in United States, Netherlands and Taiwan. Peter J. Angeline's 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 and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, IEEE Intelligent Systems and Evolutionary Computation.

In The Last Decade

Peter J. Angeline

40 papers receiving 1.9k citations

Hit Papers

An evolutionary algorithm that constructs recurrent neura... 1994 2026 2004 2015 1994 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An evolutionary algorithm that constructs recurrent neural networks
    1994 658 citations Peter J. Angeline, Gregory M. Saunders et al. IEEE Transactions on Neural Networks profile →
  2. Using selection to improve particle swarm optimization
    2002 623 citations Peter J. Angeline profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter J. Angeline United States 16 1.6k 360 356 219 180 46 2.2k
Terence C. Fogarty United Kingdom 21 1.3k 0.8× 486 1.4× 174 0.5× 141 0.6× 148 0.8× 89 2.0k
Fernando G. Lobo Portugal 18 1.6k 1.0× 743 2.1× 236 0.7× 316 1.4× 132 0.7× 46 2.4k
Conor Ryan Ireland 21 1.6k 1.0× 275 0.8× 146 0.4× 361 1.6× 400 2.2× 190 2.7k
Lashon B. Booker United States 10 1000 0.6× 356 1.0× 141 0.4× 71 0.3× 166 0.9× 22 1.7k
Zheng Tang Japan 22 1.2k 0.7× 261 0.7× 175 0.5× 300 1.4× 132 0.7× 167 2.0k
Shih-Hsi Liu United States 14 1.3k 0.8× 717 2.0× 170 0.5× 196 0.9× 83 0.5× 40 2.0k
Madana Srinivas India 7 685 0.4× 246 0.7× 328 0.9× 349 1.6× 70 0.4× 15 1.9k
Hitoshi Iba Japan 21 1.5k 0.9× 678 1.9× 292 0.8× 533 2.4× 578 3.2× 81 2.6k
Geoffrey G. Towell United States 17 2.0k 1.3× 444 1.2× 153 0.4× 77 0.4× 236 1.3× 22 2.5k
Robert Hinterding Australia 10 1.1k 0.7× 684 1.9× 149 0.4× 137 0.6× 65 0.4× 12 1.7k

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
1.
Angeline, Peter J.. (2002). <title>Results on a fractal measure for evolutionary optimization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4739. 1–8.
2.
Spector, Lee, William B. Langdon, Una-May O’Reilly, & Peter J. Angeline. (1999). Advances in genetic programming: volume 3. MIT Press eBooks. 17 indexed citations
3.
Fogel, David B. & Peter J. Angeline. (1999). Assessing the Relevance of Processing Building Blocks in Evolutionary Computation: Experiments with Linear Systems of Equations. Journal of Advanced Computational Intelligence and Intelligent Informatics. 3(5). 394–400. 1 indexed citations
4.
Angeline, Peter J.. (1998). MULTIPLE INTERACTING PROGRAMS: A REPRESENTATION FOR EVOLVING COMPLEX BEHAVIOR. Cybernetics & Systems. 29(8). 779–805. 18 indexed citations
5.
Angeline, Peter J.. (1998). A Historical Perspective on the Evolution of Executable Structures. Fundamenta Informaticae. 35(1-4). 179–195. 13 indexed citations
6.
Saunders, Gregory M., John F. Kolen, Peter J. Angeline, & Jordan Pollack. (1997). Additive Modular Learning in Preemptrons. eScholarship (California Digital Library). 306(5). 960–971. 1 indexed citations
7.
O’Reilly, Una-May & Peter J. Angeline. (1997). Introduction to the Special Issue: Trends in Evolutionary Methods for Program Induction. Evolutionary Computation. 5(2). v–ix. 3 indexed citations
8.
Angeline, Peter J. & David B. Fogel. (1997). <title>Evolutionary program for the identification of dynamical systems</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3077. 409–417. 23 indexed citations
9.
Angeline, Peter J.. (1996). The Effects of Noise on Self-Adaptive Evolutionary Optimization.. 433–439. 10 indexed citations
10.
Fogel, Lawrence J., Thomas Bäck, & Peter J. Angeline. (1996). Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming. MIT Press eBooks. 37 indexed citations
11.
Angeline, Peter J., et al.. (1996). Advances in genetic programming: volume 2. 5(33). 129. 14 indexed citations
12.
Angeline, Peter J., David B. Fogel, & Lawrence J. Fogel. (1996). A Comparison of Self-Adaptation Methods for Finite State Machines in Dynamic Environments.. 441–449. 17 indexed citations
13.
Angeline, Peter J., et al.. (1996). Genetically Optimizing The Speed of Programs Evolved to Play Tetris. 279–298. 1 indexed citations
14.
Angeline, Peter J., et al.. (1996). Massively Parallel Genetic Programming. 339–357. 3 indexed citations
15.
Angeline, Peter J.. (1995). Evolution Revolution: An Introduction to the Special Track on Genetic and Evolutionary Programming. IEEE Intelligent Systems. 10(3). 6–10. 22 indexed citations
16.
Angeline, Peter J.. (1995). Morphogenic Evolutionary Computations: Introduction, Issues and Example.. 387–401. 22 indexed citations
17.
Angeline, Peter J., Gregory M. Saunders, & Jordan Pollack. (1994). An evolutionary algorithm that constructs recurrent neural networks. IEEE Transactions on Neural Networks. 5(1). 54–65. 658 indexed citations breakdown →
18.
Saunders, Gregory M., Peter J. Angeline, & Jordan Pollack. (1993). Structural and Behavioral Evolution of Recurrent Networks. Neural Information Processing Systems. 6. 88–95. 5 indexed citations
19.
Angeline, Peter J. & Jordan Pollack. (1993). Competitive Environments Evolve Better Solutions for Complex Tasks. international conference on Genetic algorithms. 264–270. 175 indexed citations
20.
Angeline, Peter J. & Jordan Pollack. (1993). Evolutionary Module Acquisition. 63 indexed citations

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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