Kenneth De Jong

15.5k total citations · 2 hit papers
190 papers, 6.7k citations indexed

About

Kenneth De Jong is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Linguistics and Language. According to data from OpenAlex, Kenneth De Jong has authored 190 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 47 papers in Experimental and Cognitive Psychology and 32 papers in Linguistics and Language. Recurrent topics in Kenneth De Jong's work include Evolutionary Algorithms and Applications (67 papers), Metaheuristic Optimization Algorithms Research (64 papers) and Phonetics and Phonology Research (46 papers). Kenneth De Jong is often cited by papers focused on Evolutionary Algorithms and Applications (67 papers), Metaheuristic Optimization Algorithms Research (64 papers) and Phonetics and Phonology Research (46 papers). Kenneth De Jong collaborates with scholars based in United States, Australia and United Kingdom. Kenneth De Jong's co-authors include Mitchell A. Potter, William M. Spears, R. Paul Wiegand, Ronald Morrison, Diana F. Gordon, David B. Pisoni, Rafal Kicinger, Tomasz Arciszewski, Bushra Adnan Zawaydeh and Cynthia G. Clopper and has published in prestigious journals such as PLoS ONE, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Kenneth De Jong

182 papers receiving 6.0k citations

Hit Papers

Cooperative Coevolution: An Architecture for Evolving Coa... 2000 2026 2008 2017 2000 2007 250 500 750

Peers

Kenneth De Jong
Comparison fields: 5 of 174
  • Artificial Intelligence 4.1k
  • Computational Theory and Mathematics 1.4k
  • Experimental and Cognitive Psychology 981
  • Linguistics and Language 652
  • Molecular Biology 503
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Citations per field, relative to Kenneth De Jong
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Citations per year, relative to Kenneth De Jong
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Countries citing papers authored by Kenneth De Jong

Since Specialization
Citations

This map shows the geographic impact of Kenneth De Jong'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 Kenneth De Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth De Jong more than expected).

Fields of papers citing papers by Kenneth De Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth De Jong. 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 Kenneth De Jong. The network helps show where Kenneth De Jong may publish in the future.

Co-authorship network of co-authors of Kenneth De Jong

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth De Jong. A scholar is included among the top collaborators of Kenneth De Jong 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 Kenneth De Jong. Kenneth De Jong 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
# Work Indexed citations
1 2
2 1
3 7
4 1
5 1
6 2
7
Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA)
16
8
Understanding Competitive Co-Evolutionary Dynamics via Fitness Landscapes.
10
9
A General-Purpose Computational Model of the Conscious Mind.
4
10
Meta-Cognitive Architecture for Team Agent
4
11
Characteristics of long-term learning in soar and its application to the utility problem
6
12
An empirical analysis of collaboration methods in cooperative coevolutionary algorithms
133
13 3
14
Using genetic algorithms for adaptive function approximation and mesh generation
2
15
An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm.
42
16
On Decentralizing Selection Algorithms
45
17
On the State of Evolutionary Computation
40
18
Are Genetic Algorithms Function Optimizers
72
19
On the Virtues of Parameterised Uniform Crossover.
15
20
On using genetic algorithms to search program spaces
36

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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