Alan Reynolds

1.4k citations
27 papers · 721 indexed · 1 hit paper · h-index 13
Topics
Reservoir Engineering and Simulation Methods (7 papers)Hydraulic Fracturing and Reservoir Analysis (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)

In The Last Decade

Alan Reynolds

26 papers receiving 667 citations

Hit Papers

Clustering Rules: A Comparison of Partitioning and Hierar...20062026201220192006100200300400

Peers

Alan Reynolds
Comparison fields: 5 of 162
  • Artificial Intelligence 125
  • Molecular Biology 99
  • Ocean Engineering 83
  • Ecology 78
  • Mechanical Engineering 55
Replace Kathryn Huff with:
Kathryn Huff United States
David J. Hall United Kingdom
Terry King United States
Christopher Drovandi Australia
Neil Chue Hong United Kingdom
D. N. Williams United States
Allan R. Wilks United States
Zeng China
In-Kwon Yeo South Korea
Ritei Shibata Japan
Alan Reynolds relative to Kathryn Huff United States Kathryn Huff's profile →
Citations per field
00.5×3.3×
Kathryn Huff · 1×
Citations per year

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
#WorkIndexed citations
1 5
2 25
3 1
4 8
5 16
6 18
7 16
8 30
9 24
10 7
11 3
12 12
13 1
14 10
15 28
16 3
17
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithmsbreakdown →
401
18 16
19 2
20 12

About Alan Reynolds

Alan Reynolds is a scholar working on Ocean Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 721 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (7 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Ecological Modeling (38 citations), Ocean Engineering (83 citations) and Artificial Intelligence (125 citations). Alan Reynolds has collaborated with scholars based in United Kingdom, United States and Australia. Frequent 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. Their work appears in journals such as The American Naturalist, Global Change Biology and European Journal of Operational Research.

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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