Andrew Kingdon

1.2k total citations
36 papers, 489 citations indexed

About

Andrew Kingdon is a scholar working on Mechanics of Materials, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Andrew Kingdon has authored 36 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 12 papers in Environmental Engineering and 11 papers in Ocean Engineering. Recurrent topics in Andrew Kingdon's work include Hydrocarbon exploration and reservoir analysis (8 papers), CO2 Sequestration and Geologic Interactions (7 papers) and Rock Mechanics and Modeling (6 papers). Andrew Kingdon is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (8 papers), CO2 Sequestration and Geologic Interactions (7 papers) and Rock Mechanics and Modeling (6 papers). Andrew Kingdon collaborates with scholars based in United Kingdom, China and Australia. Andrew Kingdon's co-authors include John Williams, Domenico Chiarella, J.P. Busby, Timothy Kearsey, Marco Bianchi, Darren J. Beriro, Stephen Hallett, Russell Thomas, Frédéric Coulon and J.P. Williamson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Andrew Kingdon

33 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Kingdon United Kingdom 13 145 141 139 121 109 36 489
Alison Monaghan United Kingdom 15 190 1.3× 142 1.0× 165 1.2× 81 0.7× 76 0.7× 60 601
Helen Reeves United Kingdom 12 94 0.6× 112 0.8× 132 0.9× 119 1.0× 45 0.4× 50 557
Michel Malo Canada 14 196 1.4× 217 1.5× 212 1.5× 85 0.7× 129 1.2× 50 584
Eugenio Trumpy Italy 13 126 0.9× 143 1.0× 224 1.6× 80 0.7× 53 0.5× 22 509
Egbert Jolie Germany 9 107 0.7× 136 1.0× 222 1.6× 59 0.5× 39 0.4× 14 455
Franz May Germany 15 101 0.7× 403 2.9× 187 1.3× 125 1.0× 160 1.5× 39 639
Steve Whittaker Canada 14 145 1.0× 398 2.8× 126 0.9× 176 1.5× 220 2.0× 39 770
Wenjing Lin China 14 248 1.7× 167 1.2× 169 1.2× 75 0.6× 87 0.8× 59 570
Hasan Arman United Arab Emirates 13 188 1.3× 77 0.5× 89 0.6× 138 1.1× 67 0.6× 85 589
Oluseun Adetola Sanuade Nigeria 16 107 0.7× 131 0.9× 271 1.9× 242 2.0× 104 1.0× 53 529

Countries citing papers authored by Andrew Kingdon

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Kingdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Kingdon

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Kingdon. A scholar is included among the top collaborators of Andrew Kingdon 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 Andrew Kingdon. Andrew Kingdon 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
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Chiarella, Domenico, et al.. (2022). Using legacy core material to assess subsurface carbon storage reservoir potentiality. Geological Society London Special Publications. 527(1). 387–397. 3 indexed citations
3.
Hall, Alex, et al.. (2022). CoreScore: a machine learning approach to assess legacy core condition. Geological Society London Special Publications. 527(1). 137–151. 4 indexed citations
4.
Chiarella, Domenico, et al.. (2022). Pore Scale Numerical Modelling of Geological Carbon Storage Through Mineral Trapping Using True Pore Geometries. Transport in Porous Media. 141(3). 667–693. 19 indexed citations
5.
Beriro, Darren J., Andrew Kingdon, J. A. Beardmore, et al.. (2022). A decision support system to assess the feasibility of onshore renewable energy infrastructure. Renewable and Sustainable Energy Reviews. 168. 112771–112771. 25 indexed citations
6.
Chiarella, Domenico, et al.. (2022). The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis. Scientific Reports. 12(1). 11311–11311. 8 indexed citations
7.
Chiarella, Domenico, et al.. (2022). The influence of grain shape and size on the relationship between porosity and permeability in sandstone: a digital approach. Scientific Reports. 12(1). 7531–7531. 25 indexed citations
8.
Clark, Brett, et al.. (2021). Pore-scale assessment of subsurface carbon storage potential: implications for the UK Geoenergy Observatories project. Petroleum Geoscience. 27(2). 15 indexed citations
9.
Coulon, Frédéric, et al.. (2021). A critical review of decision support systems for brownfield redevelopment. The Science of The Total Environment. 785. 147132–147132. 47 indexed citations
10.
Beriro, Darren J., et al.. (2020). The Brownfield Ground Risk Calculator: A new spatial decision support tool for estimating ground risk and remediation costs for site located in Greater Manchester, UK. NERC Open Research Archive (Natural Environment Research Council). 1 indexed citations
11.
Hier‐Majumder, Saswata, et al.. (2020). Geological Carbon Sequestration by Reactive Infiltration Instability. Frontiers in Earth Science. 8. 5 indexed citations
12.
Kingdon, Andrew, et al.. (2018). Stress magnitudes across UK regions: New analysis and legacy data across potentially prospective unconventional resource areas. Marine and Petroleum Geology. 97. 24–31. 12 indexed citations
13.
Wang, Lei, et al.. (2016). A seamlessly coupled GIS and distributed groundwater flow model. Environmental Modelling & Software. 82. 1–6. 16 indexed citations
14.
Heidbach, Oliver, Susana Custódio, Andrew Kingdon, et al.. (2016). Stress Map of the Mediterranean and Central Europe 2016. NERC Open Research Archive (Natural Environment Research Council). 23 indexed citations
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Heidbach, Oliver, Susana Custódio, Andrew Kingdon, et al.. (2016). New Crustal Stress Map of the Mediterranean and Central Europe. Publication Database GFZ (GFZ German Research Centre for Geosciences).
17.
Mackay, Jonathan, Majdi Mansour, Corinna Abesser, et al.. (2013). Integrated surface and groundwater modelling in the Thames Basin, UK using the Open Modelling Interface. EGUGA. 2 indexed citations
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Busby, J.P., Andrew Kingdon, & John Williams. (2011). The measured shallow temperature field in Britain. Quarterly Journal of Engineering Geology and Hydrogeology. 44(3). 373–387. 52 indexed citations
20.
Kingdon, Andrew, et al.. (2007). Orientation discrimination in 5-year-olds and adults tested with luminance-modulated and contrast-modulated gratings. Journal of Vision. 7(4). 9–9. 21 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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