Kent McClymont
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- Advanced Multi-Objective Optimization Algorithms 6
- Environmental Engineering top 10%
- Urban Stormwater Management Solutions 1
- Hydrological Forecasting Using AI 1
- Water Science and Technology top 10%
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 7
- Evolutionary Algorithms and Applications 4
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- Water Systems and Optimization 4
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- Water resources management and optimization 5
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- Smart Grid Energy Management 1
- Co-authors
- Ed KeedwellEdward KeedwellOrkun S. SoyerMaryam ImaniDragan SavićLuiz F. BittencourtZoran KapelanMahmudul Hasan
- Journals
- Nucleic Acids Research (1 paper)The Science of The Total Environment (1 paper)Journal of Environmental Management (1 paper)
- Partner nations
- United KingdomBrazilNetherlands
In The Last Decade
Kent McClymont
13 papers receiving 344 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 114
- Environmental Engineering 92
- Water Science and Technology 78
- Artificial Intelligence 118
- Civil and Structural Engineering 60
Countries citing papers authored by Kent McClymont
This map shows the geographic impact of Kent McClymont'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 Kent McClymont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kent McClymont more than expected).
Fields of papers citing papers by Kent McClymont
This network shows the impact of papers produced by Kent McClymont. 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 Kent McClymont. The network helps show where Kent McClymont may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Kent McClymont, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 55 | |
| 2 | 2020 | 75 | |
| 3 | 2015 | 16 | |
| 4 | 2013 | 12 | |
| 5 | 2013 | 41 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 21 | |
| 8 | 2012 | 3 | |
| 9 | 2011 | 3 | |
| 10 | 2011 | 78 | |
| 11 | Novel Methods for Ranking District Metered Areas for Water Distribution Network Maintenance Scheduling | 2011 | 2 |
| 12 | 2011 | 38 | |
| 13 | 2010 | 1 |
About Kent McClymont
Kent McClymont is a scholar working on Computational Theory and Mathematics, Ocean Engineering and Artificial Intelligence, having authored 13 papers that have together received 350 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Water resources management and optimization (5 papers), Water Systems and Optimization (4 papers), Evolutionary Algorithms and Applications (4 papers), Urban Stormwater Management Solutions (1 paper), Smart Grid Energy Management (1 paper) and Hydrological Forecasting Using AI (1 paper). The work is most often cited by research in Computational Theory and Mathematics (114 citations), Environmental Engineering (92 citations) and Water Science and Technology (78 citations). Kent McClymont has collaborated with scholars based in United Kingdom, Brazil and Netherlands. Frequent co-authors include Ed Keedwell, Edward Keedwell, Orkun S. Soyer, Maryam Imani, Dragan Savić, Luiz F. Bittencourt, Zoran Kapelan, Mahmudul Hasan, Marcus N. Gomes and Lakshmi Priya Rajendran. Their work appears in journals such as Nucleic Acids Research, The Science of The Total Environment and Journal of Environmental Management.
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.