Gerard Gorman

3.1k total citations
80 papers, 2.0k citations indexed

About

Gerard Gorman is a scholar working on Computational Mechanics, Atmospheric Science and Ocean Engineering. According to data from OpenAlex, Gerard Gorman has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 15 papers in Atmospheric Science and 14 papers in Ocean Engineering. Recurrent topics in Gerard Gorman's work include Advanced Numerical Methods in Computational Mathematics (21 papers), Seismic Imaging and Inversion Techniques (13 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). Gerard Gorman is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (21 papers), Seismic Imaging and Inversion Techniques (13 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). Gerard Gorman collaborates with scholars based in United Kingdom, United States and Canada. Gerard Gorman's co-authors include Matthew D. Piggott, Christopher C. Pain, Peter A. Allison, A.J.H. Goddard, Patricio Farrell, F. Fang, C. R. Wilson, Martin R. Wells, P. Wayne Power and Michael Lange and has published in prestigious journals such as Geology, Nature Geoscience and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Gerard Gorman

78 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerard Gorman United Kingdom	25	628	435	434	305	276	80	2.0k
Matthew D. Piggott United Kingdom	34	1000 1.6×	393 0.9×	1.1k 2.6×	853 2.8×	356 1.3×	173	3.9k
Denys Dutykh France	24	304 0.5×	284 0.7×	269 0.6×	614 2.0×	102 0.4×	146	1.7k
Massimiliano Ferronato Italy	26	650 1.0×	497 1.1×	183 0.4×	143 0.5×	556 2.0×	137	2.5k
A.J.H. Goddard United Kingdom	26	834 1.3×	74 0.2×	302 0.7×	128 0.4×	202 0.7×	93	2.1k
Stephen Roberts Australia	18	472 0.8×	168 0.4×	154 0.4×	98 0.3×	197 0.7×	85	1.3k
Marcelo H. Kobayashi United States	22	663 1.1×	61 0.1×	188 0.4×	230 0.8×	95 0.3×	73	1.6k
Onno Bokhove Netherlands	18	857 1.4×	81 0.2×	257 0.6×	98 0.3×	220 0.8×	96	1.4k
L.G. Margolin United States	29	2.1k 3.4×	80 0.2×	850 2.0×	123 0.4×	119 0.4×	81	3.4k
Graham Hughes Australia	24	549 0.9×	94 0.2×	553 1.3×	108 0.4×	90 0.3×	78	2.0k
Ronald F. Scott United States	32	394 0.6×	250 0.6×	156 0.4×	114 0.4×	293 1.1×	150	3.5k

Countries citing papers authored by Gerard Gorman

Since Specialization

Citations

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

Fields of papers citing papers by Gerard Gorman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Gorman

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Gorman. A scholar is included among the top collaborators of Gerard Gorman 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 Gerard Gorman. Gerard Gorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Luporini, Fabio, et al.. (2024). A novel immersed boundary approach for irregular topography with acoustic wave equations. Geophysics. 89(4). T207–T226. 2 indexed citations

Louboutin, Mathias, Ali Siahkoohi, Philipp Witte, et al.. (2023). Learned multiphysics inversion with differentiable programming and machine learning. The Leading Edge. 42(7). 474–486. 9 indexed citations

Kukreja, Navjot, et al.. (2022). Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model. Geoscientific model development. 15(9). 3815–3829. 6 indexed citations

Cudeiro, Javier, Fabio Luporini, Òscar Calderón Agudo, et al.. (2022). Stride: A flexible software platform for high-performance ultrasound computed tomography. Computer Methods and Programs in Biomedicine. 221. 106855–106855. 13 indexed citations

Kukreja, Navjot, et al.. (2019). Training on the Edge: The why and the how. 899–903. 26 indexed citations

Witte, Philipp, Mathias Louboutin, Fabio Luporini, Gerard Gorman, & Felix J. Herrmann. (2019). Compressive least-squares migration with on-the-fly Fourier transforms. Geophysics. 84(5). R655–R672. 20 indexed citations

Louboutin, Mathias, Michael Lange, Fabio Luporini, et al.. (2019). Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration. Geoscientific model development. 12(3). 1165–1187. 104 indexed citations

Luporini, Fabio, et al.. (2019). Automated Tiling of Unstructured Mesh Computations with Application to Seismological Modeling. ACM Transactions on Mathematical Software. 45(2). 1–30. 2 indexed citations

Witte, Philipp, Mathias Louboutin, Michael Lange, et al.. (2018). Full-waveform inversion, Part 3: Optimization. The Leading Edge. 37(2). 142–145. 18 indexed citations

10.

Louboutin, Mathias, Philipp Witte, Michael Lange, et al.. (2017). Full-waveform inversion, Part 1: Forward modeling. The Leading Edge. 36(12). 1033–1036. 18 indexed citations

11.

Louboutin, Mathias, Philipp Witte, Michael Lange, et al.. (2017). Full-waveform inversion, Part 2: Adjoint modeling. The Leading Edge. 37(1). 69–72. 13 indexed citations

12.

Kukreja, Navjot, et al.. (2016). Devito: automated fast finite difference computation. IEEE International Conference on High Performance Computing, Data, and Analytics. 11–19. 4 indexed citations

13.

Buchan, A.G., Christopher C. Pain, Jefferson Gomes, et al.. (2012). Simulated spatially dependent transient kinetics analysis of the Oak Ridge Y12 plant criticality excursion. Progress in Nuclear Energy. 63. 12–21. 2 indexed citations

14.

Farrell, Patrick E., et al.. (2011). Automated continuous verification for numerical simulation. Geoscientific model development. 4(2). 435–449. 22 indexed citations

15.

Wells, Martin R., Peter A. Allison, Matthew D. Piggott, et al.. (2010). Tidal Modeling of an Ancient Tide-Dominated Seaway, Part 2: The Aptian Lower Greensand Seaway of Northwest Europe. Journal of Sedimentary Research. 80(5). 411–439. 17 indexed citations

16.

Ham, David A., Patrick E. Farrell, Gerard Gorman, et al.. (2009). Spud 1.0: generalising and automating the user interfaces of scientific computer models. Geoscientific model development. 2(1). 33–42. 15 indexed citations

17.

Latham, J., Jiansheng Xiang, Romain Guises, et al.. (2009). Coupled FEMDEM/Fluids for coastal engineers with special reference to armour stability and breakage. Geomechanics and Geoengineering. 4(1). 39–53. 28 indexed citations

18.

Latham, J., A. Munjiza, Jiansheng Xiang, et al.. (2008). Modelling of massive particulates for breakwater engineering using coupled FEMDEM and CFD. Particuology. 6(6). 572–583. 42 indexed citations

19.

Power, P. Wayne, Christopher C. Pain, Matthew D. Piggott, et al.. (2006). Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation. Computers & Mathematics with Applications. 52(8-9). 1213–1242. 17 indexed citations

20.

Fang, F., Matthew D. Piggott, Christopher C. Pain, Gerard Gorman, & A.J.H. Goddard. (2006). An adaptive mesh adjoint data assimilation method. Ocean Modelling. 15(1-2). 39–55. 14 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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