Ed Keedwell

597 total citations
36 papers, 380 citations indexed

About

Ed Keedwell is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ed Keedwell has authored 36 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ed Keedwell's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ed Keedwell is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Ed Keedwell collaborates with scholars based in United Kingdom, South Africa and Netherlands. Ed Keedwell's co-authors include Ahmed Kheiri, Kent McClymont, Dragan Savić, Ajit Narayanan, David J. Walker, Emmanuel Sapin, Dennis G. Wilson, Michael G. Epitropakis, Carlos Segura and Brian W. Goldman and has published in prestigious journals such as Renewable Energy, Computers & Operations Research and Evolutionary Computation.

In The Last Decade

Ed Keedwell

34 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ed Keedwell United Kingdom 10 170 118 114 75 55 36 380
Richard A. Gonçalves Brazil 11 227 1.3× 208 1.8× 71 0.6× 43 0.6× 58 1.1× 39 381
Abdul Halim Malaysia 6 167 1.0× 90 0.8× 69 0.6× 19 0.3× 48 0.9× 12 338
Cyril Fonlupt France 8 218 1.3× 73 0.6× 108 0.9× 27 0.4× 30 0.5× 28 375
Chunteng Bao China 8 186 1.1× 183 1.6× 35 0.3× 30 0.4× 22 0.4× 15 322
Haitham Seada United States 8 127 0.7× 156 1.3× 24 0.2× 52 0.7× 26 0.5× 11 301
Yicun Hua China 5 249 1.5× 229 1.9× 40 0.4× 47 0.6× 30 0.5× 8 396
Tarek A. El-Mihoub Germany 6 109 0.6× 53 0.4× 38 0.3× 15 0.2× 32 0.6× 23 284
Nengxian Liu China 8 255 1.5× 177 1.5× 27 0.2× 25 0.3× 45 0.8× 13 374
Anita Anita Indonesia 6 260 1.5× 129 1.1× 50 0.4× 17 0.2× 96 1.7× 23 483

Countries citing papers authored by Ed Keedwell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ed Keedwell

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Keedwell. A scholar is included among the top collaborators of Ed Keedwell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ed Keedwell. Ed Keedwell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Keedwell, Ed, et al.. (2023). An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling. Open Research Exeter (University of Exeter).
2.
Addepalli, Sri, et al.. (2019). Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems. Procedia CIRP. 86. 61–67. 24 indexed citations
3.
Wilson, Dennis G., S. Rodrigues, Carlos Segura, et al.. (2018). Evolutionary computation for wind farm layout optimization. Renewable Energy. 126. 681–691. 59 indexed citations
4.
Walker, David J., et al.. (2018). Towards Interactive Evolution: A Distributed Optimiser for Multi-Objective Water Distribution Network Design. EPiC series in engineering. 3. 2259–2249. 2 indexed citations
5.
Kheiri, Ahmed & Ed Keedwell. (2016). A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems. Evolutionary Computation. 25(3). 473–501. 32 indexed citations
6.
Keedwell, Ed, et al.. (2015). Evolving Robotic Neuro-Controllers Using Gene Expression Programming. 1063–1072. 2 indexed citations
7.
Kheiri, Ahmed & Ed Keedwell. (2015). A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model. ORCA Online Research @Cardiff (Cardiff University). 417–424. 42 indexed citations
8.
Sapin, Emmanuel, Ed Keedwell, & Timothy M. Frayling. (2013). Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies.. Open Research Exeter (University of Exeter). 449–456. 2 indexed citations
9.
Küçükkoç, İbrahim, David Zhang, & Ed Keedwell. (2013). Balancing parallel two-sided assembly lines with ant colony optimisation algorithm. 9 indexed citations
10.
Keedwell, Ed & Ajit Narayanan. (2013). Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid. International Journal of Data Mining and Bioinformatics. 7(4). 376–376. 8 indexed citations
11.
Gibson, Mike, Ed Keedwell, & Dragan Savić. (2013). Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware. Open Research Exeter (University of Exeter). 171–172. 3 indexed citations
12.
Keedwell, Ed, et al.. (2013). Evolved Linker Gene Expression Programming: A New Technique for Symbolic Regression. 67–74. 2 indexed citations
13.
Sapin, Emmanuel, Ed Keedwell, & Timothy M. Frayling. (2013). Subset-based ant colony optimisation for the discovery of gene-gene interactions in genome wide association studies. Open Research Exeter (University of Exeter). 295–302. 4 indexed citations
14.
Sapin, Emmanuel & Ed Keedwell. (2012). T-ACO Tournament Ant Colony Optimisation for High-dimensional Problems. 81–86. 3 indexed citations
15.
McClymont, Kent, et al.. (2012). A general multi-objective hyper-heuristic for water distribution network design with discolouration risk. Journal of Hydroinformatics. 15(3). 700–716. 21 indexed citations
16.
McClymont, Kent & Ed Keedwell. (2011). Benchmark multi-objective optimisation test problems with mixed encodings. 2131–2138. 3 indexed citations
17.
McClymont, Kent & Ed Keedwell. (2011). Deductive Sort and Climbing Sort: New Methods for Non-Dominated Sorting. Evolutionary Computation. 20(1). 1–26. 78 indexed citations
18.
Keedwell, Ed & Ajit Narayanan. (2010). Gene expression rule discovery with a multi-objective neural-genetic hybrid. 649–656. 1 indexed citations
19.
Keedwell, Ed, et al.. (2008). Optimized Design of the City of Ottawa Water Network: a Genetic Algorithm Case Study. 1–20. 2 indexed citations
20.
Keedwell, Ed, Ajit Narayanan, & Dragan Savić. (2000). Creating rules from trained networks using genetic algorithms.. 1(1). 30–42. 4 indexed citations

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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