Patrick D. Surry
Impact in
-
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 8
- Evolutionary Algorithms and Applications 7
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Nicholas J. Radcliffe (15 shared papers)
- Partner nations
- United Kingdom
In The Last Decade
Patrick D. Surry
15 papers receiving 740 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 377
- Artificial Intelligence 588
- Industrial and Manufacturing Engineering 126
- Management Science and Operations Research 78
- Statistics and Probability 37
Countries citing papers authored by Patrick D. Surry
This map shows the geographic impact of Patrick D. Surry'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 Patrick D. Surry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick D. Surry more than expected).
Fields of papers citing papers by Patrick D. Surry
This network shows the impact of papers produced by Patrick D. Surry. 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 Patrick D. Surry. The network helps show where Patrick D. Surry may publish in the future.
Co-authors
The 1 scholars most cited alongside Patrick D. Surry, 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 | 1994 | 180 | |
| 2 | The COMOGA Method: Constrained Optimisation by Multi-Objective Genetic Algorithms | 1997 | 128 |
| 3 | 1995 | 114 | |
| 4 | 1995 | 103 | |
| 5 | 1995 | 98 | |
| 6 | Real-World Uplift Modelling with Significance-Based Uplift Trees | 2012 | 71 |
| 7 | 1996 | 34 | |
| 8 | 1996 | 29 | |
| 9 | The Reproductive Plan Language RPL2: Motivation, Architecture and Applications | 1994 | 19 |
| 10 | 1994 | 16 | |
| 11 | Differential Response Analysis: Modeling True Responses by Isolating the Effect of a Single Action | 1999 | 14 |
| 12 | Constrained Gas Network Pipe Sizing with Genetic Algorithms | 2003 | 14 |
| 13 | Co-operation through Hierarchical Competition in Genetic Data Mining | 2003 | 9 |
| 14 | 形式的メメティック(memetic)アルゴリズム | 1994 | 6 |
| 15 | 2013 | 4 |
About Patrick D. Surry
Patrick D. Surry is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Molecular Biology and Computer Networks and Communications, having authored 15 papers that have together received 839 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Process Optimization and Integration (2 papers), Gene Regulatory Network Analysis (2 papers), Consumer Market Behavior and Pricing (1 paper), Advanced Database Systems and Queries (1 paper) and Water Systems and Optimization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (377 citations), Artificial Intelligence (588 citations), Industrial and Manufacturing Engineering (126 citations), Management Science and Operations Research (78 citations) and Statistics and Probability (37 citations). Patrick D. Surry has collaborated with scholars based in United Kingdom. Frequent co-authors include Nicholas J. Radcliffe. Their work appears in journals such as Lecture notes in computer science and Natural computing series.
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.