D. M. Causon

4.2k total citations · 1 hit paper
105 papers, 3.3k citations indexed

About

D. M. Causon is a scholar working on Computational Mechanics, Earth-Surface Processes and Ocean Engineering. According to data from OpenAlex, D. M. Causon has authored 105 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computational Mechanics, 34 papers in Earth-Surface Processes and 23 papers in Ocean Engineering. Recurrent topics in D. M. Causon's work include Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics Simulations and Interactions (38 papers) and Coastal and Marine Dynamics (34 papers). D. M. Causon is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics Simulations and Interactions (38 papers) and Coastal and Marine Dynamics (34 papers). D. M. Causon collaborates with scholars based in United Kingdom, Spain and China. D. M. Causon's co-authors include C. G. Mingham, David Ingram, Jian Zhou, Ling Qian, Paul Batten, Nicholas Clarke, Guowei Yang, Zhihua Ma, Pedro J. Martínez-Ferrer and Eleuterio F. Toro and has published in prestigious journals such as Journal of Computational Physics, AIAA Journal and International Journal for Numerical Methods in Engineering.

In The Last Decade

D. M. Causon

97 papers receiving 3.1k citations

Hit Papers

On the Choice of Wavespeeds for the HLLC Riemann Solver 1997 2026 2006 2016 1997 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
D. M. Causon United Kingdom 31 2.5k 763 587 470 342 105 3.3k
C. G. Mingham United Kingdom 27 1.6k 0.7× 630 0.8× 488 0.8× 403 0.9× 95 0.3× 86 2.3k
Paolo Orlandi Italy 39 5.8k 2.4× 254 0.3× 538 0.9× 897 1.9× 125 0.4× 148 6.7k
Leonhard Kleiser Switzerland 28 2.8k 1.1× 395 0.5× 384 0.7× 403 0.9× 132 0.4× 130 3.3k
V Casulli Italy 26 1.3k 0.5× 986 1.3× 1.3k 2.2× 119 0.3× 175 0.5× 62 3.6k
Massimo Germano Italy 14 6.0k 2.4× 212 0.3× 902 1.5× 745 1.6× 94 0.3× 38 7.1k
William W. Willmarth United States 25 3.0k 1.2× 400 0.5× 270 0.5× 526 1.1× 68 0.2× 46 3.9k
Pilar García‐Navarro Spain 36 2.7k 1.1× 450 0.6× 1.4k 2.3× 101 0.2× 247 0.7× 161 4.8k
J. C. Vassilicos United Kingdom 43 4.3k 1.7× 602 0.8× 743 1.3× 1.3k 2.9× 52 0.2× 167 5.4k
Krishnan Mahesh United States 37 5.2k 2.1× 119 0.2× 379 0.6× 946 2.0× 372 1.1× 140 6.1k
S.W. Armfield Australia 34 2.6k 1.0× 168 0.2× 470 0.8× 155 0.3× 38 0.1× 215 3.8k

Countries citing papers authored by D. M. Causon

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Causon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. M. Causon. 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 D. M. Causon. The network helps show where D. M. Causon may publish in the future.

Co-authorship network of co-authors of D. M. Causon

This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Causon. A scholar is included among the top collaborators of D. M. Causon 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 D. M. Causon. D. M. Causon 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.
Gao, Feng, Zhihua Ma, Jun Zang, et al.. (2015). Simulation of Breaking Wave Impact on a Vertical Wall with a Compressible Two-Phase Flow, Model. The Twenty-fifth International Ocean and Polar Engineering Conference. 3 indexed citations
2.
Ma, Zhihua, Ling Qian, D. M. Causon, et al.. (2015). The Role of Fluid Compressibility in Predicting Slamming Loads During Water Entry of Flat Plates. The Twenty-fifth International Ocean and Polar Engineering Conference. 3 indexed citations
3.
Qian, Ling, et al.. (2013). Numerical simulation of water impact of solid bodies with vertical and oblique entries. Ocean Engineering. 75. 128–137. 58 indexed citations
4.
Ma, Zhihua, Ling Qian, D. M. Causon, & C. G. Mingham. (2011). Simulation of Solitary Breaking Waves Using a Two-Fluid Hybrid Turbulence Approach. The Twenty-first International Offshore and Polar Engineering Conference. 2 indexed citations
5.
Qian, Ling, D. M. Causon, & C. G. Mingham. (2011). Comments on ‘An improved free surface capturing method based on Cartesian cut cell mesh for water-entry and -exit problems’. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 468(2138). 305–309. 3 indexed citations
6.
Gu, Huanghe, et al.. (2010). High Resolution Computation of Free Surface Flows Using a Level Set Approach. 1 indexed citations
7.
Greaves, Deborah, Alison Raby, Paul H. Taylor, et al.. (2010). Numerical simulation of wave energy converters using Eulerian and Lagrangian CFD methods. Oxford University Research Archive (ORA) (University of Oxford). 3. 737–744. 7 indexed citations
8.
Causon, D. M., et al.. (2010). Numerical Simulation of Nonlinear Wave Interactions With a Wave Energy Converter. 2 indexed citations
9.
Gao, Feng, et al.. (2010). Numerical and experimental investigation of turbulent flow around a vertical circular cylinder. Lancaster EPrints (Lancaster University).
10.
Causon, D. M., et al.. (2009). Numerical Wave Tank Study of a Wave Energy Converter In Heave. 8 indexed citations
11.
Gu, Huanghe, D. M. Causon, C. G. Mingham, & Ling Qian. (2009). A Fast-Marching Semi-Lagrangian Level Set Method For Free Surface Flows. 1 indexed citations
12.
Causon, D. M., et al.. (2008). CFD Modeling of Wave Loads on Offshore Wave Energy Devices. 10. 1071929–1071929. 1 indexed citations
13.
Mingham, C. G., Ling Qian, D. M. Causon, & David Ingram. (2004). Non-linear simulation of wave energy devices. 1 indexed citations
14.
Qian, Ling, D. M. Causon, David Ingram, & C. G. Mingham. (2002). A two-fluid solver for hydraulic applications. WIT Transactions on Ecology and the Environment. 52.
15.
Causon, D. M.. (1997). On High Resolution Finite Volume Modelling OfDiscontinuous Solutions Of The Shallow WaterEquations. WIT transactions on the built environment. 30. 1 indexed citations
16.
Causon, D. M. & David Ingram. (1997). Numerical modelling of unsteady flow in a twin side-by-side intake system. The Aeronautical Journal. 101(1008). 365–370. 1 indexed citations
17.
Mingham, C. G., et al.. (1997). Numerical Simulation Of Tidal Induced CirculationAnd Waves In Harbours. WIT transactions on the built environment. 30. 1 indexed citations
18.
Yang, Guowei, et al.. (1997). A cartesian cut cell method for compressible flows Part B: moving body problems. The Aeronautical Journal. 101(1002). 57–65. 74 indexed citations
19.
Causon, D. M., et al.. (1997). Simulation Of Coastal And EstuarineHydrodynamics Using A High-resolution Finite-Volume Technique On A Quadtree Cartesian Mesh. WIT transactions on the built environment. 30. 2 indexed citations
20.
Causon, D. M. & P. J. Ford. (1985). Numerical solutions of the Euler equations governing axisymmetric and three-dimensional transonic flow. The Aeronautical Journal. 89(886). 226–241. 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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