Matthew D. Piggott

6.6k total citations
173 papers, 3.9k citations indexed

About

Matthew D. Piggott is a scholar working on Computational Mechanics, Earth-Surface Processes and Atmospheric Science. According to data from OpenAlex, Matthew D. Piggott has authored 173 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computational Mechanics, 50 papers in Earth-Surface Processes and 49 papers in Atmospheric Science. Recurrent topics in Matthew D. Piggott's work include Wind Energy Research and Development (33 papers), Coastal and Marine Dynamics (27 papers) and Geological formations and processes (26 papers). Matthew D. Piggott is often cited by papers focused on Wind Energy Research and Development (33 papers), Coastal and Marine Dynamics (27 papers) and Geological formations and processes (26 papers). Matthew D. Piggott collaborates with scholars based in United Kingdom, United States and Norway. Matthew D. Piggott's co-authors include Christopher C. Pain, Gerard Gorman, Stephan C. Kramer, Peter A. Allison, A.J.H. Goddard, Alexandros Avdis, Athanasios Angeloudis, Simon W. Funke, Jon Hill and Patrick E. Farrell and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Matthew D. Piggott

165 papers receiving 3.8k citations

Peers

Countries citing papers authored by Matthew D. Piggott

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Piggott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Piggott

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Piggott. A scholar is included among the top collaborators of Matthew D. Piggott 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 Matthew D. Piggott. Matthew D. Piggott 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

#	Work	Indexed citations
1	Measuring marine hydrodynamics from space using planet satellite imagery 2025 ·Remote Sensing of Environment ·(unknown), Yousef Alosairi, Graham Hughes, Matthew D. Piggott	0
2	Anisotropic metric-based mesh adaptation for ice flow modelling in Firedrake 2025 ·Geoscientific model development ·(unknown), (unknown), Stephan C. Kramer, Fabien Gillet‐Chaulet, Regine Hock, Matthew D. Piggott	0
3	Deep learning predicts real-world electric vehicle direct current charging profiles and durations 2025 ·Nature Communications ·Siyi Li, (unknown), (unknown), (unknown), Matthew D. Piggott	0
4	Improving wind power modelling through granular spatial and temporal bias correction of reanalysis data 2024 ·Energy ·(unknown), (unknown), (unknown), (unknown), Iain Staffell, Matthew D. Piggott	1
5	An Unsupervised Learning Approach for Predicting Wind Farm Power and Downstream Wakes Using Weather Patterns 2024 ·Journal of Advances in Modeling Earth Systems ·Mariana Clare, (unknown), Robert A. Neal, (unknown), Matthew D. Piggott	1
6	Economics-constrained tidal turbine array layout optimisation at the Putuoshan–Hulu island waterway 2024 ·Ocean Engineering ·(unknown), Xiaoming Cheng, Athanasios Angeloudis, Stephan C. Kramer, (unknown), Ying Chen, Matthew D. Piggott	1
7	Physical Modelling of Tidal Stream Turbine Wake Structures under Yaw Conditions 2023 ·Energies ·(unknown), Jisheng Zhang, Athanasios Angeloudis, (unknown), Stephan C. Kramer, Matthew D. Piggott	4
8	Tidal turbine array modelling using goal-oriented mesh adaptation 2023 ·Journal of Ocean Engineering and Marine Energy ·(unknown), Athanasios Angeloudis, (unknown), (unknown), Stephan C. Kramer, Matthew D. Piggott	1
9	Constraints on long-term cliff retreat and intertidal weathering at weak rock coasts using cosmogenic ¹⁰ Be, nearshore topography and numerical modelling 2023 ·Earth Surface Dynamics ·(unknown), Dylan H. Rood, Martin D. Hurst, Matthew D. Piggott, Klaus M. Wilcken, (unknown)	3
10	Interactions between tidal stream turbine arrays and their hydrodynamic impact around Zhoushan Island, China 2022 ·Ocean Engineering ·Jisheng Zhang, (unknown), Athanasios Angeloudis, Stephan C. Kramer, Rui He, Matthew D. Piggott	7
11	Sea-level rise will likely accelerate rock coast cliff retreat rates 2022 ·Nature Communications ·(unknown), Dylan H. Rood, Martin D. Hurst, Matthew D. Piggott, (unknown), (unknown), Klaus M. Wilcken	26
12	Multi-objective optimisation of a rock coast evolution model with cosmogenic ¹⁰ Be analysis for the quantification of long-term cliff retreat rates 2021 ·Earth Surface Dynamics ·(unknown), Martin D. Hurst, Matthew D. Piggott, (unknown), (unknown), Klaus M. Wilcken, Dylan H. Rood	7
13	A review of the UK and British Channel Islands practical tidal stream energy resource 2021 ·Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences ·Daniel Coles, Athanasios Angeloudis, Deborah Greaves, Gordon D. Hastie, Matthew Lewis, (unknown), J.L. McNAUGHTON, Jon Miles, Simon P. Neill, Matthew D. Piggott, Denise Risch, Beth E. Scott, Carol Sparling, Tim Stallard, Philipp R. Thies, Stuart Walker, David White, Richard Willden, Benjamin J. Williamson	67
14	Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling 2021 ·Computer-Aided Design ·(unknown), (unknown), David A. Ham, Matthew D. Piggott	2
15	Multi-objective optimisation of a rock coast evolution model with cosmogenic ¹⁰ Be analysis for the quantification of long-term cliff retreat rates 2021 ·(unknown), Martin D. Hurst, Matthew D. Piggott, (unknown), (unknown), Klaus M. Wilcken, Dylan H. Rood	2
16	Impact of inhomogeneous unsteady participating media in a coupled convection–radiation system using finite element based methods 2021 ·International Journal of Heat and Mass Transfer ·(unknown), Steven Dargaville, S.J. Neethling, Matthew D. Piggott	2
17	Goal-oriented error estimation and mesh adaptation for shallow water modelling 2020 ·SN Applied Sciences ·(unknown), (unknown), Stephan C. Kramer, David A. Ham, Matthew D. Piggott	9
18	Using Smoothed Particle Hydrodynamics to investigate the effect of complex slide rheology on landslide generated waves. 2018 ·EGUGA ·(unknown), Matthew D. Piggott, G. S. Collins, S.J. Neethling	1
19	Numerical Modelling of Fluid-structure Interactions for Floating Wind Turbine Foundations 2013 ·The Twenty-third International Offshore and Polar Engineering Conference ·Axelle Viré, Jiansheng Xiang, Matthew D. Piggott, Johannes Spinneken, Christopher C. Pain	1
20	Numerical modeling of landslide generated tsunami using adaptive unstructured meshes 2009 ·EGU General Assembly Conference Abstracts ·C. R. Wilson, G. S. Collins, Matthew D. Piggott	1

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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