Daniel J. Poole

991 total citations
53 papers, 727 citations indexed

About

Daniel J. Poole is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Aerospace Engineering. According to data from OpenAlex, Daniel J. Poole has authored 53 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 20 papers in Computational Theory and Mathematics and 17 papers in Aerospace Engineering. Recurrent topics in Daniel J. Poole's work include Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Aircraft Design and Technologies (11 papers). Daniel J. Poole is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Advanced Aircraft Design and Technologies (11 papers). Daniel J. Poole collaborates with scholars based in United Kingdom, United States and France. Daniel J. Poole's co-authors include Thomas Rendall, Christian B Allen, Dominic Masters, C. B. Allen, Nigel J. Taylor, Joan M. Herbers, Rhodri L. T. Bevan, James M. Hall, John Vassberg and Siva Nadarajah and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and AIAA Journal.

In The Last Decade

Daniel J. Poole

50 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Poole United Kingdom 15 467 248 205 158 142 53 727
C. B. Allen United Kingdom 11 544 1.2× 111 0.4× 238 1.2× 110 0.7× 114 0.8× 13 680
Zhoujie Lyu United States 13 642 1.4× 188 0.8× 564 2.8× 187 1.2× 134 0.9× 16 1.0k
Joël Brézillon Germany 15 484 1.0× 132 0.5× 205 1.0× 129 0.8× 102 0.7× 50 665
Arthur C. Taylor United States 17 637 1.4× 156 0.6× 161 0.8× 327 2.1× 165 1.2× 46 957
Marc Montagnac France 11 335 0.7× 131 0.5× 197 1.0× 125 0.8× 104 0.7× 23 564
Marcus Meyer Germany 11 228 0.5× 81 0.3× 211 1.0× 162 1.0× 126 0.9× 70 505
Anıl Yıldırım United States 10 333 0.7× 87 0.4× 248 1.2× 68 0.4× 95 0.7× 34 521
Hyoung-Jin Kim South Korea 16 410 0.9× 112 0.5× 312 1.5× 67 0.4× 44 0.3× 69 653
Masahiro Kanazaki Japan 12 175 0.4× 175 0.7× 301 1.5× 107 0.7× 26 0.2× 90 549
Dimitrios I. Papadimitriou Greece 14 314 0.7× 209 0.8× 171 0.8× 164 1.0× 89 0.6× 24 663

Countries citing papers authored by Daniel J. Poole

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Poole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Poole. 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 Daniel J. Poole. The network helps show where Daniel J. Poole may publish in the future.

Co-authorship network of co-authors of Daniel J. Poole

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Poole. A scholar is included among the top collaborators of Daniel J. Poole 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 Daniel J. Poole. Daniel J. Poole 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.
Poole, Daniel J., et al.. (2025). Investigations into deep Reinforcement Learning for wind farm set-point optimisation. Expert Systems with Applications. 282. 127627–127627.
2.
Poole, Daniel J., et al.. (2024). Graph-based Deep Reinforcement Learning for Wind Farm Set-Point Optimisation. Journal of Physics Conference Series. 2767(9). 92028–92028. 2 indexed citations
3.
Poole, Daniel J., et al.. (2022). Predicting Linearised Wind Resource Grids using Neural Networks. Journal of Wind Engineering and Industrial Aerodynamics. 229. 105123–105123. 5 indexed citations
4.
Allen, Benjamin, et al.. (2022). An Initial Study of Multimodality in Wind Farm Layout Optimization Problems. AIAA SCITECH 2022 Forum. 1 indexed citations
5.
Poole, Daniel J., et al.. (2021). High Fidelity Aero-Structural Simulation of Occluded Wind Turbine Blades. AIAA Scitech 2021 Forum. 2 indexed citations
6.
Poole, Daniel J., C. B. Allen, & Thomas Rendall. (2018). Global Optimization of Wing Aerodynamic Optimization Case Exhibiting Multimodality. Journal of Aircraft. 55(4). 1576–1591. 11 indexed citations
7.
Allen, Christian B, Daniel J. Poole, & Thomas Rendall. (2018). Wing aerodynamic optimization using efficient mathematically-extracted modal design variables. Optimization and Engineering. 19(2). 453–477. 26 indexed citations
8.
Hall, James M., Thomas Rendall, Christian B Allen, & Daniel J. Poole. (2017). A volumetric geometry and topology parameterisation for fluids-based optimisation. Computers & Fluids. 148. 137–156. 4 indexed citations
9.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2017). Objective Function and Constraints for Robust Transonic Aerofoil Optimization. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 3 indexed citations
10.
Masters, Dominic, Daniel J. Poole, Nigel J. Taylor, Thomas Rendall, & Christian B Allen. (2017). Influence of Shape Parameterization on a Benchmark Aerodynamic Optimization Problem. Journal of Aircraft. 54(6). 2242–2256. 28 indexed citations
11.
Masters, Dominic, et al.. (2017). Geometric Comparison of Aerofoil Shape Parameterization Methods. AIAA Journal. 55(5). 1575–1589. 132 indexed citations
12.
Masters, Dominic, Daniel J. Poole, Nigel J. Taylor, Thomas Rendall, & Christian B Allen. (2016). Impact of Shape Parameterisation on Aerodynamic Optimisation of Benchmark Problem. 54th AIAA Aerospace Sciences Meeting. 31 indexed citations
13.
Allen, Christian B, Daniel J. Poole, & Thomas Rendall. (2016). Efficient Modal Design Variables Applied to Aerodynamic Optimization of a Modern Transport Wing. Bristol Research (University of Bristol). 5 indexed citations
14.
Poole, Daniel J., et al.. (2015). Gender in Science and Engineering Faculties: Demographic Inertia Revisited. PLoS ONE. 10(10). e0139767–e0139767. 24 indexed citations
15.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2015). Optimal Domain Element Shapes for Free-Form Aerodynamic Shape Control. 53rd AIAA Aerospace Sciences Meeting. 5 indexed citations
16.
Hall, James M., Daniel J. Poole, Thomas Rendall, & Christian B Allen. (2015). Volumetric Shape Parameterisation for Combined Aerodynamic Geometry and Topology Optimisation. Explore Bristol Research. 10 indexed citations
17.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2014). Application of Control Point-Based Aerodynamic Shape Optimization to Two-Dimensional Drag Minimization. 52nd Aerospace Sciences Meeting. 22 indexed citations
18.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2014). 2014 IEEE Congress on Evolutionary Computation (CEC), Beijing, China. 4 indexed citations
19.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2014). Aerofoil Inviscid Drag Minimization by Constrained Global Optimization. Explore Bristol Research.
20.
Poole, Daniel J., Christian B Allen, & Thomas Rendall. (2013). Aerofoil Design Variable Extraction for Aerodynamic Optimisation. Bristol Research (University of Bristol). 9 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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