Jonathan E. Rowe

2.9k citations
113 papers · 2.1k · h-index 20

Impact in

Papers in

Jonathan E. Rowe

109 papers receiving 2.0k citations

Peers

Jonathan E. Rowe
Comparison fields: 5 of 141
  • Artificial Intelligence 1.1k
  • Computational Theory and Mathematics 508
  • Industrial and Manufacturing Engineering 122
  • Management Science and Operations Research 117
  • Genetics 180
Replace Lashon B. Booker with:
Lashon B. Booker United States
Ingo Rechenberg Germany
Adam Prügel‐Bennett United Kingdom
Nicol N. Schraudolph Switzerland
Kumara Sastry United States
Samir W. Mahfoud United States
Alden H. Wright United States
James E. Baker United States
Marco Tomassini Switzerland
Bernard Manderick Belgium
Jonathan E. Rowe relative to Lashon B. Booker United States Lashon B. Booker's profile →
Citations per field
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Lashon B. Booker · 1×
Citations per year

Countries citing papers authored by Jonathan E. Rowe

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Rowe. 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 Jonathan E. Rowe. The network helps show where Jonathan E. Rowe may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan E. Rowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan E. Rowe Line = papers co-authored together Jonathan E. Rowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
2002411
2 2002301
3 2008105
4 201392
5 200571
6 200943
7 200439
8 200738
9 201237
10 200834
11 200233
12 201132
13 200732
14 200430
15 201529
16 201927
17
Population Fixed-Points for Functions of Unitation.
199826
18 200724
19 200421
20
The effects of crossover and mutation operators on variable length linear structures
200120

About Jonathan E. Rowe

Jonathan E. Rowe is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Genetics, Statistical and Nonlinear Physics and Molecular Biology, having authored 113 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (51 papers), Evolutionary Algorithms and Applications (50 papers), Algorithms and Data Compression (14 papers), Evolution and Genetic Dynamics (12 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Gene Regulatory Network Analysis (11 papers), Machine Learning and Algorithms (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (508 citations), Industrial and Manufacturing Engineering (122 citations), Management Science and Operations Research (117 citations) and Genetics (180 citations). Jonathan E. Rowe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Colin R. Reeves, Alden H. Wright, Dirk Sudholt, Michael D. Vose, Chrisantha Fernando, Riccardo Poli, Nicholas Freitag McPhee, Darrell Whitley, Christopher Rhodes Stephens and C. Cannings. Their work appears in journals such as Evolutionary Computation, Theoretical Computer Science, Journal of Theoretical Biology, Lecture notes in computer science and Genetic Programming and Evolvable Machines.

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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