Ernst Schetselaar

600 total citations
30 papers, 386 citations indexed

About

Ernst Schetselaar is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Ernst Schetselaar has authored 30 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Geophysics, 13 papers in Artificial Intelligence and 10 papers in Geochemistry and Petrology. Recurrent topics in Ernst Schetselaar's work include Seismic Imaging and Inversion Techniques (15 papers), Geochemistry and Geologic Mapping (11 papers) and Seismic Waves and Analysis (10 papers). Ernst Schetselaar is often cited by papers focused on Seismic Imaging and Inversion Techniques (15 papers), Geochemistry and Geologic Mapping (11 papers) and Seismic Waves and Analysis (10 papers). Ernst Schetselaar collaborates with scholars based in Canada, Germany and France. Ernst Schetselaar's co-authors include E A de Kemp, Gilles Bellefleur, M. J. Hillier, Don White, M. Malinowski, Florian Wellmann, P Mercier-Langevin, Boyan Brodaric, Donald J. White and Pierre‐Simon Ross and has published in prestigious journals such as Remote Sensing of Environment, Geophysics and Journal of Structural Geology.

In The Last Decade

Ernst Schetselaar

28 papers receiving 371 citations

Peers

Ernst Schetselaar
Jiayong Yan China
Gervais Perron Canada
Mohamed Gobashy Egypt
Huanhuan Yang China
Jesper Dramsch Denmark
Yanhong Zou China
Alessandro Santilano Italy
Longquan Zhou China
Evren Pakyuz-Charrier Australia
Cleyton de Carvalho Carneiro Brazil
Jiayong Yan China
Ernst Schetselaar
Citations per year, relative to Ernst Schetselaar Ernst Schetselaar (= 1×) peers Jiayong Yan

Countries citing papers authored by Ernst Schetselaar

Since Specialization
Citations

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

Fields of papers citing papers by Ernst Schetselaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernst Schetselaar

This figure shows the co-authorship network connecting the top 25 collaborators of Ernst Schetselaar. A scholar is included among the top collaborators of Ernst Schetselaar 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 Ernst Schetselaar. Ernst Schetselaar 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.
Parsa, Mohammad, C J M Lawley, Steven E. Zhang, et al.. (2025). Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing. Natural Resources Research. 34(2). 639–668. 5 indexed citations
2.
St-Charles, Pierre-Luc, Bruno Rousseau, Joumana Ghosn, Gilles Bellefleur, & Ernst Schetselaar. (2023). A deep learning benchmark for first break detection from hardrock seismic reflection data. Geophysics. 89(1). WA279–WA294. 6 indexed citations
3.
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
4.
Hayward, N & Ernst Schetselaar. (2023). Exploring the Moho beneath the Northern Canadian Cordillera, with seismically constrained gravity inversion. Canadian Journal of Earth Sciences. 61(4). 431–445.
5.
Hillier, M. J., Florian Wellmann, Boyan Brodaric, E A de Kemp, & Ernst Schetselaar. (2021). Using Graph Neural Networks for 3-D Structural Geological Modelling.
6.
Schetselaar, Ernst, et al.. (2020). Three-dimensional magnetotelluric numerical simulation of realistic geologic models. Geophysics. 85(5). E171–E190. 17 indexed citations
7.
8.
9.
Snyder, D. B., Ernst Schetselaar, Mark Pilkington, & A. J. Schaeffer. (2018). Resolution and uncertainty in lithospheric 3-D geological models. Mineralogy and Petrology. 112(S1). 133–147. 4 indexed citations
10.
11.
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
12.
Lafrance, Bruno, et al.. (2016). Structural Reconstruction of the Flin Flon Volcanogenic Massive Sulfide Mining District, Saskatchewan and Manitoba, Canada. Economic Geology. 111(4). 849–875. 11 indexed citations
13.
14.
White, Don, et al.. (2016). Drill Targeting with 3-D Seismics for Volcanogenic Massive Sulfide Exploration in the Flin Flon Mining Camp. Economic Geology. 111(4). 903–912. 7 indexed citations
15.
Schetselaar, Ernst & Pejman Shamsipour. (2015). Interpretation of borehole gravity data of the Lalor volcanogenic massive sulfide deposit, Snow Lake, Manitoba, Canada. Interpretation. 3(3). T145–T154. 8 indexed citations
16.
Bellefleur, Gilles, et al.. (2015). Seismic properties and effects of hydrothermal alteration on Volcanogenic Massive Sulfide (VMS) deposits at the Lalor Lake in Manitoba, Canada. Journal of Applied Geophysics. 123. 141–152. 7 indexed citations
17.
White, Don, et al.. (2015). Mode‐converted volcanogenic massive sulphide ore lens reflections in vertical seismic profiles from Flin Flon, Manitoba, Canada. Geophysical Prospecting. 63(4). 849–860. 3 indexed citations
18.
Malinowski, M., Ernst Schetselaar, & Donald J. White. (2012). 3D seismic imaging of volcanogenic massive sulfide deposits in the Flin Flon mining camp, Canada: Part 2 — Forward modeling. Geophysics. 77(5). WC81–WC93. 24 indexed citations
19.
Harris, Jeff, et al.. (2011). Remote Predictive Mapping 3. Optical Remote Sensing – A Review for Remote Predictive Geological Mapping in Northern Canada. Geoscience Canada. 38(2). 49–83. 14 indexed citations
20.
Schetselaar, Ernst. (2000). Integration of Landsat TM, Gamma-Ray, Magnetic, and Field Data to Discriminate Lithological Units in VegetatedGranite-Gneiss Terrain. Remote Sensing of Environment. 71(1). 89–105. 44 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jiayong Yan Breakdown of academic impact, for papers by Gervais Perron Breakdown of academic impact, for papers by Mohamed Gobashy Breakdown of academic impact, for papers by Huanhuan Yang Breakdown of academic impact, for papers by Jesper Dramsch Breakdown of academic impact, for papers by Yanhong Zou Breakdown of academic impact, for papers by Alessandro Santilano Breakdown of academic impact, for papers by Longquan Zhou Breakdown of academic impact, for papers by Evren Pakyuz-Charrier Breakdown of academic impact, for papers by Cleyton de Carvalho Carneiro
Rankless by CCL
2026