Jonathan Edward Fieldsend

3.9k citations
119 papers · 3.0k · h-index 27

Impact in

Papers in

    • Advanced Multi-Objective Optimization Algorithms 62
    • Metaheuristic Optimization Algorithms Research 39
    • Evolutionary Algorithms and Applications 28
    • Bayesian Modeling and Causal Inference 8
    • Machine Learning and Data Classification 8
    • Gaussian Processes and Bayesian Inference 7

Jonathan Edward Fieldsend

113 papers receiving 2.9k citations

Peers

Jonathan Edward Fieldsend
Comparison fields: 5 of 138
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 1.6k
  • Management Science and Operations Research 371
  • Statistics, Probability and Uncertainty 155
  • Industrial and Manufacturing Engineering 172
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Edward Fieldsend

Since Specialization
Citations

This map shows the geographic impact of Jonathan Edward 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 Edward 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 Edward Fieldsend more than expected).

Fields of papers citing papers by Jonathan Edward Fieldsend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Edward 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 Edward Fieldsend. The network helps show where Jonathan Edward Fieldsend may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Edward Fieldsend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Edward Fieldsend Line = papers co-authored together Jonathan Edward Fieldsend links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence
2002269
2 2005245
3 2003200
4 2017173
5 2021144
6 2008111
7 2012107
8 2005104
9 200584
10 201483
11 202182
12 202271
13 200469
14 201863
15 200559
16 200459
17 200055
18 201453
19 200249
20 200748

About Jonathan Edward Fieldsend

Jonathan Edward Fieldsend is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 119 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (62 papers), Metaheuristic Optimization Algorithms Research (39 papers), Evolutionary Algorithms and Applications (28 papers), Probabilistic and Robust Engineering Design (10 papers), Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Data Classification (8 papers), Gaussian Processes and Bayesian Inference (7 papers) and Advanced Bandit Algorithms Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.6k citations), Management Science and Operations Research (371 citations), Statistics, Probability and Uncertainty (155 citations) and Industrial and Manufacturing Engineering (172 citations). Jonathan Edward Fieldsend has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Richard Everson, Sameer Kumar Singh, Alma As-Aad Mohammad Rahat, Yang Liu, Geyong Min, David J. Walker, Chaoli Sun, Yaochu Jin, Ying Tan and George De Ath. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Evolutionary Computation, Optimization and Engineering, Lecture notes in computer science and Machine Learning.

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.

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