Jonathan E. Fieldsend
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 45
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 27
- Evolutionary Algorithms and Applications 17
- Machine Learning and Algorithms 5
- Bayesian Modeling and Causal Inference 5
- Machine Learning and Data Classification 5
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- Probabilistic and Robust Engineering Design 7
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- Constraint Satisfaction and Optimization 5
- Co-authors
- Richard EversonSameer SinghAlma RahatGeyong MinYang LiuDavid J. WalkerYaochu JinChaoli Sun
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- IEEE Transactions on Evolutionary Computation (7 papers)Optimization and Engineering (2 papers)Evolutionary Computation (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jonathan E. Fieldsend
86 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 991
- Artificial Intelligence 1.1k
- Management Science and Operations Research 244
- Statistics, Probability and Uncertainty 106
- Industrial and Manufacturing Engineering 122
Countries citing papers authored by Jonathan E. Fieldsend
This map shows the geographic impact of Jonathan E. Fieldsend'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. Fieldsend 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. Fieldsend more than expected).
Fields of papers citing papers by Jonathan E. Fieldsend
This network shows the impact of papers produced by Jonathan E. Fieldsend. 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. Fieldsend. The network helps show where Jonathan E. Fieldsend may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan E. Fieldsend, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 56 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 6 | |
| 11 | 2017 | 26 | |
| 12 | 2015 | 11 | |
| 13 | 2013 | 7 | |
| 14 | 2012 | 94 | |
| 15 | 2010 | 24 | |
| 16 | 2007 | 42 | |
| 17 | Visualisation of multi-class ROC surfaces | 2005 | 12 |
| 18 | A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence | 2002 | 229 |
| 19 | 2002 | 4 | |
| 20 | 2000 | 47 |
About Jonathan E. Fieldsend
Jonathan E. Fieldsend is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Software, having authored 90 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (45 papers), Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (17 papers), Probabilistic and Robust Engineering Design (7 papers), Machine Learning and Algorithms (5 papers), Bayesian Modeling and Causal Inference (5 papers), Constraint Satisfaction and Optimization (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Computational Theory and Mathematics (991 citations), Artificial Intelligence (1.1k citations), Management Science and Operations Research (244 citations), Statistics, Probability and Uncertainty (106 citations) and Industrial and Manufacturing Engineering (122 citations). Jonathan E. Fieldsend has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard Everson, Sameer Singh, Alma Rahat, Geyong Min, Yang Liu, David J. Walker, Yaochu Jin, Chaoli Sun, Ying Tan and George De Ath. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Optimization and Engineering, Evolutionary Computation, Information Sciences and Chemical Communications.
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.