Alan Reynolds

1.4k total citations · 1 hit paper
27 papers, 721 citations indexed

About

Alan Reynolds is a scholar working on Artificial Intelligence, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Alan Reynolds has authored 27 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Ocean Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Alan Reynolds's work include Reservoir Engineering and Simulation Methods (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Alan Reynolds is often cited by papers focused on Reservoir Engineering and Simulation Methods (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Alan Reynolds collaborates with scholars based in United Kingdom, United States and Sweden. Alan Reynolds's co-authors include Beatriz de la Iglesia, V. J. Rayward‐Smith, Graeme Richards, Simon F. Ross, David Corne, Mike Christie, Tom C. Cameron, Tim G. Benton, Tim Coulson and Arpat Özgül and has published in prestigious journals such as The American Naturalist, Global Change Biology and European Journal of Operational Research.

In The Last Decade

Alan Reynolds

26 papers receiving 667 citations

Hit Papers

Clustering Rules: A Comparison of Partitioning and Hierar... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Reynolds United Kingdom 13 125 99 83 78 55 27 721
Terry King United States 7 241 1.9× 63 0.6× 33 0.4× 78 1.0× 34 0.6× 8 1.9k
In-Kwon Yeo South Korea 7 181 1.4× 52 0.5× 26 0.3× 48 0.6× 31 0.6× 23 1.3k
Kathryn Huff United States 16 102 0.8× 90 0.9× 29 0.3× 24 0.3× 46 0.8× 46 1.1k
J.S. Urban Hjorth United States 6 147 1.2× 69 0.7× 23 0.3× 57 0.7× 19 0.3× 8 1.1k
Dan Stanzione United States 13 61 0.5× 65 0.7× 22 0.3× 29 0.4× 10 0.2× 40 799
Bertrand Michel France 10 295 2.4× 131 1.3× 23 0.3× 130 1.7× 48 0.9× 34 1.3k
Christopher Drovandi Australia 20 539 4.3× 164 1.7× 21 0.3× 174 2.2× 20 0.4× 133 1.8k
Allan R. Wilks United States 15 170 1.4× 76 0.8× 12 0.1× 70 0.9× 29 0.5× 26 1.2k
Gary E. Meek United States 4 105 0.8× 55 0.6× 22 0.3× 54 0.7× 41 0.7× 8 1.1k
Yunxiang Liu China 16 97 0.8× 96 1.0× 53 0.6× 36 0.5× 31 0.6× 167 952

Countries citing papers authored by Alan Reynolds

Since Specialization
Citations

This map shows the geographic impact of Alan Reynolds'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 Alan Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Reynolds more than expected).

Fields of papers citing papers by Alan Reynolds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Reynolds. 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 Alan Reynolds. The network helps show where Alan Reynolds may publish in the future.

Co-authorship network of co-authors of Alan Reynolds

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Reynolds. A scholar is included among the top collaborators of Alan Reynolds 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 Alan Reynolds. Alan Reynolds 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.
O’Brien, Eleanor K., Megan Higgie, Alan Reynolds, Ary A. Hoffmann, & Jon R. Bridle. (2017). Testing for local adaptation and evolutionary potential along altitudinal gradients in rainforest Drosophila : beyond laboratory estimates. Global Change Biology. 23(5). 1847–1860. 25 indexed citations
2.
Reynolds, Alan, Jan Lindström, P. Johnson, & Barbara K. Mable. (2016). Evolution of drug‐tolerant nematode populations in response to density reduction. Evolutionary Applications. 9(5). 726–738. 1 indexed citations
3.
Cameron, Tom C., Daniel O’Sullivan, Alan Reynolds, et al.. (2016). Harvested populations are more variable only in more variable environments. Ecology and Evolution. 6(12). 4179–4191. 8 indexed citations
4.
Reynolds, Alan & Simon F. Ross. (2016). Butterflies with rotation and charge. Classical and Quantum Gravity. 33(21). 215008–215008. 16 indexed citations
5.
Reynolds, Alan, et al.. (2014). Implementation of a fast coral detector using a supervised machine learning and Gabor Wavelet feature descriptors. Research Portal (Queen's University Belfast). 1–6. 18 indexed citations
6.
Reynolds, Alan, et al.. (2013). Estimation of Distribution Algorithms Applied to History Matching. SPE Journal. 18(3). 508–517. 16 indexed citations
7.
Corne, David, Alan Reynolds, Stuart Galloway, Edward H. Owens, & Andrew Peacock. (2013). Short term wind speed forecasting with evolved neural networks. 9. 1521–1528. 9 indexed citations
8.
Özgül, Arpat, Tim Coulson, Alan Reynolds, Tom C. Cameron, & Tim G. Benton. (2012). Population Responses to Perturbations: The Importance of Trait-Based Analysis Illustrated through a Microcosm Experiment. The American Naturalist. 179(5). 582–594. 30 indexed citations
9.
Reynolds, Alan, et al.. (2012). Bayesian Optimization Algorithm Applied to Uncertainty Quantification. SPE Journal. 17(3). 865–873. 24 indexed citations
10.
Reynolds, Alan, et al.. (2012). A Parallel GA-EDA Hybrid Algorithm for History-Matching. SPE Oil and Gas India Conference and Exhibition. 7 indexed citations
11.
Reynolds, Alan, et al.. (2011). Bayesian Optimization Algorithm Applied to Uncertainty Quantification. 12 indexed citations
12.
Corne, David & Alan Reynolds. (2011). Evaluating optimization algorithms. 707–710. 1 indexed citations
13.
Reynolds, Alan, et al.. (2011). Estimation of Distribution Algorithms Applied to History Matching. 13 indexed citations
14.
Reynolds, Alan, David Corne, & Beatriz de la Iglesia. (2009). A multiobjective GRASP for rule selection. UEA Digital Repository (University of East Anglia). 643–650. 10 indexed citations
15.
Reynolds, Alan & Beatriz de la Iglesia. (2008). A multi-objective GRASP for partial classification. Soft Computing. 13(3). 227–243. 28 indexed citations
16.
Reynolds, Alan, Graeme Richards, Beatriz de la Iglesia, & V. J. Rayward‐Smith. (2006). Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. Journal of Mathematical Modelling and Algorithms. 5(4). 475–504. 401 indexed citations breakdown →
17.
Iglesia, Beatriz de la & Alan Reynolds. (2006). The Use of Meta-Heuristic Algorithms for Data Mining. UEA Digital Repository (University of East Anglia). 4598. 34–44. 3 indexed citations
18.
Reynolds, Alan & Beatriz de la Iglesia. (2006). Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 3343–3350. 16 indexed citations
19.
Reynolds, Alan. (1997). The application of simulated annealing to an industrial scheduling problem. 1997. 345–350. 2 indexed citations
20.
Reynolds, Alan, et al.. (1982). Subcutaneous Emphysema as a Result of Loss-of-resistance Identification of Epidural Space. Regional Anesthesia The Journal of Neural Blockade in Obstetrics Surgery & Pain Control. 7(1). 44–45. 12 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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