E A de Kemp

1.9k total citations
34 papers, 1.1k citations indexed

About

E A de Kemp is a scholar working on Geochemistry and Petrology, Geophysics and Artificial Intelligence. According to data from OpenAlex, E A de Kemp has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geochemistry and Petrology, 16 papers in Geophysics and 10 papers in Artificial Intelligence. Recurrent topics in E A de Kemp's work include Geological Modeling and Analysis (25 papers), Seismic Imaging and Inversion Techniques (11 papers) and Geochemistry and Geologic Mapping (10 papers). E A de Kemp is often cited by papers focused on Geological Modeling and Analysis (25 papers), Seismic Imaging and Inversion Techniques (11 papers) and Geochemistry and Geologic Mapping (10 papers). E A de Kemp collaborates with scholars based in Canada, Australia and France. E A de Kemp's co-authors include Mark Jessell, Laurent Aillères, M. J. Hillier, Kevin Sprague, N Wodicka, S J Pehrsson, D Corrigan, E M Schetselaar, Mark Lindsay and Peter Betts and has published in prestigious journals such as Tectonophysics, Journal of Structural Geology and Geological Society London Special Publications.

In The Last Decade

E A de Kemp

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E A de Kemp Canada 16 712 572 466 145 133 34 1.1k
Gabriel Courrioux France 17 744 1.0× 1.0k 1.8× 415 0.9× 160 1.1× 238 1.8× 37 1.5k
Philippe Calcagno France 15 493 0.7× 576 1.0× 249 0.5× 174 1.2× 244 1.8× 37 1.2k
J. L. Mallet France 13 422 0.6× 226 0.4× 135 0.3× 78 0.5× 151 1.1× 44 704
Laurent Aillères Australia 30 750 1.1× 1.8k 3.2× 1.1k 2.3× 194 1.3× 204 1.5× 96 2.4k
Pauline Collon France 15 390 0.5× 194 0.3× 132 0.3× 132 0.9× 145 1.1× 37 763
Judith Sausse France 20 266 0.4× 696 1.2× 196 0.4× 488 3.4× 281 2.1× 35 1.5k
Jérémie Giraud Australia 15 313 0.4× 366 0.6× 174 0.4× 55 0.4× 142 1.1× 53 581
Xiancheng Mao China 17 310 0.4× 360 0.6× 667 1.4× 198 1.4× 53 0.4× 89 1.1k
Anne‐Sophie Høyer Denmark 15 265 0.4× 264 0.5× 95 0.2× 44 0.3× 243 1.8× 32 649
Lachlan Grose Australia 11 225 0.3× 198 0.3× 85 0.2× 80 0.6× 94 0.7× 23 455

Countries citing papers authored by E A de Kemp

Since Specialization
Citations

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

Fields of papers citing papers by E A de Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E A de Kemp. 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 E A de Kemp. The network helps show where E A de Kemp may publish in the future.

Co-authorship network of co-authors of E A de Kemp

This figure shows the co-authorship network connecting the top 25 collaborators of E A de Kemp. A scholar is included among the top collaborators of E A de Kemp 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 E A de Kemp. E A de Kemp 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.
Kemp, E A de, et al.. (2025). Checking the consistency of 3D geological models. Geoscientific model development. 18(1). 71–100. 1 indexed citations
2.
Hillier, M. J., Florian Wellmann, E A de Kemp, et al.. (2023). GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling. Geoscientific model development. 16(23). 6987–7012. 7 indexed citations
3.
Kemp, E A de. (2021). Spatial agents for geological surface modelling. Geoscientific model development. 14(11). 6661–6680. 6 indexed citations
4.
Hillier, M. J., Florian Wellmann, Boyan Brodaric, E A de Kemp, & Ernst Schetselaar. (2021). Using Graph Neural Networks for 3-D Structural Geological Modelling.
5.
Aillères, Laurent, Mark Jessell, E A de Kemp, et al.. (2019). Loop - Enabling 3D stochastic geological modelling. ASEG Extended Abstracts. 2019(1). 1–3. 9 indexed citations
7.
Caumon, Guillaume, et al.. (2016). Introduction to special section: Building complex and realistic geological models from sparse data. Interpretation. 4(3). SMi–SMi. 4 indexed citations
8.
Passchier, Cees W., et al.. (2014). 3D visualization of sheath folds in Ancient Roman marble wall coverings from Ephesos, Turkey. Journal of Structural Geology. 67. 129–139. 6 indexed citations
9.
Snyder, D. B., M. J. Hillier, B A Kjarsgaard, E A de Kemp, & James A. Craven. (2014). Lithospheric architecture of the Slave craton, northwest Canada, as determined from an interdisciplinary 3‐D model. Geochemistry Geophysics Geosystems. 15(5). 1895–1910. 25 indexed citations
10.
Hillier, M. J., E M Schetselaar, E A de Kemp, & Gervais Perron. (2014). Three-Dimensional Modelling of Geological Surfaces Using Generalized Interpolation with Radial Basis Functions. Mathematical Geosciences. 46(8). 931–953. 117 indexed citations
11.
Lindsay, Mark, Laurent Aillères, Mark Jessell, E A de Kemp, & Peter Betts. (2012). Locating and quantifying geological uncertainty in three-dimensional models: Analysis of the Gippsland Basin, southeastern Australia. Tectonophysics. 546-547. 10–27. 147 indexed citations
12.
Lindsay, Mark, Stéphane Perrouty, Mark Jessell, et al.. (2011). Categorising features of geological terranes with geodiversity metrics: Enhancing exploration of multiple geological models. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
13.
Passchier, Cees W., Rudolph Allard Johannes Trouw, Sara Coelho, E A de Kemp, & Renata da Silva Schmitt. (2010). Key-ring structure gradients and sheath folds in the Goantagab Domain of NW Namibia. Journal of Structural Geology. 33(3). 280–291. 10 indexed citations
14.
Corrigan, D, S J Pehrsson, N Wodicka, & E A de Kemp. (2009). The Palaeoproterozoic Trans-Hudson Orogen: a prototype of modern accretionary processes. Geological Society London Special Publications. 327(1). 457–479. 204 indexed citations
15.
Schetselaar, E M, et al.. (2007). Remote Predictive Mapping 1. Remote Predictive Mapping (RPM): A Strategy for Geological Mapping of Canada’s North. Geoscience Canada. 34(3). 10 indexed citations
16.
Sprague, Kevin, et al.. (2005). Spatial targeting using queries in a 3-D GIS environment with application to mineral exploration. Computers & Geosciences. 32(3). 396–418. 39 indexed citations
17.
Kemp, E A de & Kevin Sprague. (2003). Interpretive Tools for 3-D Structural Geological Modeling Part I: Bézier-Based Curves, Ribbons and Grip Frames. GeoInformatica. 7(1). 55–71. 36 indexed citations
18.
Schetselaar, E M & E A de Kemp. (2000). Image classification from LANDSAT TM, airborne magnetics and DEM data for mapping paleoproterozoic bedrock units, Baffin Island, Nunavut, Canada. University of Twente Research Information. 1325–1332. 4 indexed citations
19.
Kemp, E A de. (1999). Visualization of complex geological structures using 3-D Bézier construction tools. Computers & Geosciences. 25(5). 581–597. 57 indexed citations
20.
Donaldson, J A & E A de Kemp. (1998). Archaean quartz arenites in the Canadian Shield: examples from the Superior and Churchill Provinces. Sedimentary Geology. 120(1-4). 153–176. 52 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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