K. Morgan

4.5k total citations · 2 hit papers
99 papers, 3.2k citations indexed

About

K. Morgan is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, K. Morgan has authored 99 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computational Mechanics, 20 papers in Electrical and Electronic Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in K. Morgan's work include Computational Fluid Dynamics and Aerodynamics (48 papers), Advanced Numerical Methods in Computational Mathematics (41 papers) and Fluid Dynamics and Turbulent Flows (24 papers). K. Morgan is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (48 papers), Advanced Numerical Methods in Computational Mathematics (41 papers) and Fluid Dynamics and Turbulent Flows (24 papers). K. Morgan collaborates with scholars based in United Kingdom, United States and Brazil. K. Morgan's co-authors include O. C. Zienkiewicz, O. Hassan, J. Peraire, Sean Walton, Joaquim Peiró, M. Rowan Brown, Nigel Weatherill, R. Löhner, P Lyra and Paul D. Ledger and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

K. Morgan

98 papers receiving 3.0k citations

Hit Papers

Finite elements and approximation 1983 2026 1997 2011 1983 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Morgan United Kingdom 28 1.8k 434 429 304 294 99 3.2k
O. Hassan United Kingdom 28 1.8k 1.0× 383 0.9× 445 1.0× 629 2.1× 311 1.1× 128 3.1k
R. K. Beatson New Zealand 22 1.7k 0.9× 604 1.4× 215 0.5× 853 2.8× 176 0.6× 55 3.1k
Ann Almgren United States 29 2.4k 1.3× 196 0.5× 218 0.5× 163 0.5× 358 1.2× 102 4.2k
Joseph E. Flaherty United States 34 3.0k 1.7× 548 1.3× 433 1.0× 309 1.0× 298 1.0× 102 4.5k
Martin Buhmann Germany 20 936 0.5× 866 2.0× 250 0.6× 66 0.2× 111 0.4× 61 2.5k
Joe F. Thompson United States 17 2.2k 1.2× 273 0.6× 186 0.4× 285 0.9× 427 1.5× 42 3.1k
Martin Berzins United States 29 1.3k 0.7× 420 1.0× 180 0.4× 175 0.6× 129 0.4× 147 2.8k
Jacques Périaux France 33 3.2k 1.8× 657 1.5× 618 1.4× 51 0.2× 542 1.8× 169 5.0k
Rolland L. Hardy United States 8 899 0.5× 1.3k 3.1× 242 0.6× 100 0.3× 162 0.6× 17 2.9k
Patrick Le Tallec France 29 2.7k 1.5× 931 2.1× 276 0.6× 65 0.2× 246 0.8× 118 4.6k

Countries citing papers authored by K. Morgan

Since Specialization
Citations

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

Fields of papers citing papers by K. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of K. Morgan. A scholar is included among the top collaborators of K. Morgan 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 K. Morgan. K. Morgan 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.
Belouettar, Salim, et al.. (2016). EM modelling of arbitrary shaped anisotropic dielectric objects using an efficient 3D leapfrog scheme on unstructured meshes. Computational Mechanics. 58(3). 441–455. 6 indexed citations
2.
Davies, D. Rhodri, et al.. (2013). A hierarchical mesh refinement technique for global 3-D spherical mantle convection modelling. Geoscientific model development. 6(4). 1095–1107. 34 indexed citations
3.
Walton, Sean, O. Hassan, & K. Morgan. (2012). Reduced order mesh optimisation using proper orthogonal decomposition and a modified cuckoo search. International Journal for Numerical Methods in Engineering. 93(5). 527–550. 26 indexed citations
4.
Hassan, O., et al.. (2009). A parallel implicit/explicit hybrid time domain method for computational electromagnetics. International Journal for Numerical Methods in Engineering. 80(8). 1093–1109. 6 indexed citations
5.
Ledger, Paul D. & K. Morgan. (2008). An Adjoint Enhanced Reduced-Order Model for Monostatic RCS Computation. Electromagnetics. 28(1-2). 54–76. 21 indexed citations
6.
Ledger, Paul D. & K. Morgan. (2005). The application of thehp—finite element method to electromagnetic problems. Archives of Computational Methods in Engineering. 12(3). 235–302. 15 indexed citations
8.
Hassan, O., et al.. (2002). Agglomerated multigrid on hybrid unstructured meshes for compressible flow. International Journal for Numerical Methods in Fluids. 40(3-4). 593–603. 15 indexed citations
9.
Lyra, P & K. Morgan. (2000). A review and comparative study of upwind biased schemes for compressible flow computation. Part II: 1-D higher-order schemes. Archives of Computational Methods in Engineering. 7(3). 333–377. 18 indexed citations
10.
Zienkiewicz, O. C., et al.. (1998). General purpose versus special algorithms for high-speed flows with shocks. International Journal for Numerical Methods in Fluids. 27(1-4). 57–80. 17 indexed citations
11.
Peraire, J. & K. Morgan. (1998). Unstructured mesh generation for 3D viscous flow. 1 indexed citations
12.
Cleland, John G.F., Peter J. Cowburn, & K. Morgan. (1996). Neuroendocrine activation after myocardial infarction: causes and consequences. Heart. 76(3 Suppl 3). 53–59. 10 indexed citations
13.
Morgan, K., O. Hassan, & J. Peraire. (1996). A time domain unstructured grid approach to the simulation of electromagnetic scattering in piecewise homogeneous media. Computer Methods in Applied Mechanics and Engineering. 134(1-2). 17–36. 26 indexed citations
14.
Morgan, K., J. Peraire, & Joaquim Peiró. (1992). Unstructured grid methods for compressible flows. In AGARD. 40 indexed citations
15.
Formaggia, Luca, J. Peraire, & K. Morgan. (1988). Simulation of a store separation using the finite element method. Applied Mathematical Modelling. 12(2). 175–181. 34 indexed citations
16.
Loehner, Rainald & K. Morgan. (1987). Unstructured multigrid methods. NASA Technical Reports Server (NASA). 6 indexed citations
17.
Morgan, K., et al.. (1985). Finite element modelling of solidification in sand castings employing an implicit—explicit algorithm. Applied Mathematical Modelling. 9(3). 170–174. 22 indexed citations
18.
Lewis, R. W., K. Morgan, & Ian R. White. (1983). The influence of integration rule accuracy on the calculation of surface subsidence by the nucleus of strain method in conjunction with a finite element reservoir simulator. Applied Mathematical Modelling. 7(6). 419–422. 2 indexed citations
19.
Zienkiewicz, O. C. & K. Morgan. (1983). Finite elements and approximation. CERN Bulletin. 521 indexed citations breakdown →
20.
Morgan, K.. (1983). Applied iterative methods, L. A. Hageman and D. M. Young, Academic Press, New York, 1981. No. of pages: 386. Price: $39.50. International Journal for Numerical Methods in Engineering. 19(4). 625–625. 1 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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