Jonathan E. Rowe
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Algorithms and Data Compression
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Evolutionary Algorithms and Applications 36
- Metaheuristic Optimization Algorithms Research 36
- Algorithms and Data Compression 11
- Machine Learning and Algorithms 5
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Colin R. Reeves (2 shared papers)Dirk Sudholt (2 shared papers)Chrisantha Fernando (3 shared papers)Michael D. Vose (8 shared papers)Alden H. Wright (13 shared papers)Riccardo Poli (8 shared papers)Nicholas Freitag McPhee (4 shared papers)Darrell Whitley (4 shared papers)
- Journals
- Evolutionary Computation (10 papers)Theoretical Computer Science (6 papers)Journal of Theoretical Biology (3 papers)Natural Computing (2 papers)Biomedical Optics Express (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan E. Rowe
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 756
- Computational Theory and Mathematics 372
- Industrial and Manufacturing Engineering 87
- Management Science and Operations Research 88
- Computer Networks and Communications 107
Countries citing papers authored by Jonathan E. Rowe
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
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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 351 | |
| 2 | 2002 | 224 | |
| 3 | 2008 | 96 | |
| 4 | 2013 | 72 | |
| 5 | 2005 | 64 | |
| 6 | 2009 | 34 | |
| 7 | 2007 | 31 | |
| 8 | 2012 | 30 | |
| 9 | 2008 | 30 | |
| 10 | 2007 | 28 | |
| 11 | 2004 | 27 | |
| 12 | 2002 | 24 | |
| 13 | 2019 | 24 | |
| 14 | 2015 | 23 | |
| 15 | 2011 | 22 | |
| 16 | 2004 | 21 | |
| 17 | 2007 | 21 | |
| 18 | 2004 | 19 | |
| 19 | 2008 | 17 | |
| 20 | Population Fixed-Points for Functions of Unitation. | 1998 | 17 |
About Jonathan E. Rowe
Jonathan E. Rowe is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Genetics and Computer Networks and Communications, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (36 papers), Metaheuristic Optimization Algorithms Research (36 papers), Algorithms and Data Compression (11 papers), Evolution and Genetic Dynamics (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Gene Regulatory Network Analysis (8 papers), Machine Learning and Algorithms (5 papers) and Optical Imaging and Spectroscopy Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (756 citations), Computational Theory and Mathematics (372 citations), Industrial and Manufacturing Engineering (87 citations), Management Science and Operations Research (88 citations) and Computer Networks and Communications (107 citations). Jonathan E. Rowe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Colin R. Reeves, Dirk Sudholt, Chrisantha Fernando, Michael D. Vose, Alden H. Wright, Riccardo Poli, Nicholas Freitag McPhee, Darrell Whitley, Dov J. Stekel and Thorsten Lenser. Their work appears in journals such as Evolutionary Computation, Theoretical Computer Science, Journal of Theoretical Biology, Natural Computing and Biomedical Optics Express.
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.