Ed Keedwell
Impact in
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- Vehicle Routing Optimization Methods
- Advanced Manufacturing and Logistics Optimization
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 12
- Evolutionary Algorithms and Applications 10
- Reinforcement Learning in Robotics 4
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Ahmed Kheiri (6 shared papers)Kent McClymont (4 shared papers)Dragan Savić (4 shared papers)David J. Walker (2 shared papers)Ajit Narayanan (3 shared papers)Emmanuel Sapin (4 shared papers)Brian W. Goldman (2 shared papers)Dennis G. Wilson (2 shared papers)
- Journals
- Journal of Hydroinformatics (2 papers)Evolutionary Computation (2 papers)Genetic Programming and Evolvable Machines (1 paper)Computers & Operations Research (1 paper)IET Systems Biology (1 paper)
- Partner nations
- United KingdomSouth AfricaNetherlands
In The Last Decade
Ed Keedwell
34 papers receiving 370 citations
Peers
Comparison fields: 5 of 56
- Industrial and Manufacturing Engineering 114
- Computational Theory and Mathematics 118
- Management Science and Operations Research 75
- Artificial Intelligence 170
- Automotive Engineering 26
Countries citing papers authored by Ed Keedwell
This map shows the geographic impact of Ed Keedwell'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 Ed Keedwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Keedwell more than expected).
Fields of papers citing papers by Ed Keedwell
This network shows the impact of papers produced by Ed Keedwell. 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 Ed Keedwell. The network helps show where Ed Keedwell may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Keedwell, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 78 | |
| 2 | 2018 | 59 | |
| 3 | 2015 | 42 | |
| 4 | 2016 | 32 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2012 | 21 | |
| 8 | 2016 | 11 | |
| 9 | 2014 | 11 | |
| 10 | Balancing parallel two-sided assembly lines with ant colony optimisation algorithm | 2013 | 9 |
| 11 | 2013 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2010 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2000 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2015 | 3 |
About Ed Keedwell
Ed Keedwell is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Molecular Biology and Civil and Structural Engineering, having authored 36 papers that have together received 380 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Vehicle Routing Optimization Methods (6 papers), Water Systems and Optimization (5 papers), Scheduling and Optimization Algorithms (4 papers), Reinforcement Learning in Robotics (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Computational Theory and Mathematics (118 citations), Management Science and Operations Research (75 citations), Artificial Intelligence (170 citations) and Automotive Engineering (26 citations). Ed Keedwell has collaborated with scholars based in United Kingdom, South Africa and Netherlands. Frequent co-authors include Ahmed Kheiri, Kent McClymont, Dragan Savić, David J. Walker, Ajit Narayanan, Emmanuel Sapin, Brian W. Goldman, Dennis G. Wilson, Carlos Segura and Guglielmo Lulli. Their work appears in journals such as Journal of Hydroinformatics, Evolutionary Computation, Genetic Programming and Evolvable Machines, Computers & Operations Research and IET Systems Biology.
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.