Eric Grunsky

4.3k total citations
103 papers, 3.3k citations indexed

About

Eric Grunsky is a scholar working on Artificial Intelligence, Environmental Engineering and Geophysics. According to data from OpenAlex, Eric Grunsky has authored 103 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 41 papers in Environmental Engineering and 32 papers in Geophysics. Recurrent topics in Eric Grunsky's work include Geochemistry and Geologic Mapping (83 papers), Soil Geostatistics and Mapping (39 papers) and Geological and Geochemical Analysis (27 papers). Eric Grunsky is often cited by papers focused on Geochemistry and Geologic Mapping (83 papers), Soil Geostatistics and Mapping (39 papers) and Geological and Geochemical Analysis (27 papers). Eric Grunsky collaborates with scholars based in Canada, Australia and China. Eric Grunsky's co-authors include Jeff Harris, Patrice de Caritat, Qiuming Cheng, Yaguang Xu, Ute Mueller, Antonella Buccianti, D Corrigan, Lawrence J. Drew, David M. Sutphin and L Wilkinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Science of The Total Environment.

In The Last Decade

Eric Grunsky

98 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Grunsky Canada 31 2.6k 1.0k 936 699 628 103 3.3k
Frits Agterberg Canada 31 2.7k 1.0× 989 1.0× 1.4k 1.5× 1.2k 1.8× 714 1.1× 91 4.3k
Carlos Roberto de Souza Filho Brazil 38 1.8k 0.7× 922 0.9× 1.1k 1.2× 1.3k 1.8× 311 0.5× 185 4.8k
Alok Porwal India 29 2.4k 0.9× 547 0.5× 1.1k 1.2× 1.3k 1.9× 428 0.7× 109 3.1k
F.J.A. van Ruitenbeek Netherlands 25 2.4k 0.9× 360 0.4× 917 1.0× 2.1k 2.9× 362 0.6× 62 3.6k
Graeme Bonham-Carter Canada 27 1.1k 0.4× 213 0.2× 567 0.6× 426 0.6× 261 0.4× 55 1.9k
Katsuaki Koike Japan 29 805 0.3× 669 0.7× 1.1k 1.2× 193 0.3× 437 0.7× 170 2.8k
Thomas Cudahy Australia 26 1.6k 0.6× 518 0.5× 673 0.7× 1.0k 1.5× 258 0.4× 77 2.1k
Alastair J. Sinclair Canada 15 923 0.4× 536 0.5× 463 0.5× 222 0.3× 187 0.3× 46 1.5k
Kefa Zhou China 26 1.1k 0.4× 670 0.7× 340 0.4× 380 0.5× 139 0.2× 127 1.7k
Shuhab D. Khan United States 27 697 0.3× 744 0.7× 413 0.4× 420 0.6× 238 0.4× 122 2.0k

Countries citing papers authored by Eric Grunsky

Since Specialization
Citations

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

Fields of papers citing papers by Eric Grunsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Grunsky

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Grunsky. A scholar is included among the top collaborators of Eric Grunsky 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 Eric Grunsky. Eric Grunsky 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.
Harris, Jeff, Peter Strong, P. C. Thurston, et al.. (2024). Mineral Prospectivity Mapping and Differential Metal Endowment Between Two Greenstone Belts in the Canadian Superior Craton. Natural Resources Research. 34(1). 97–120. 4 indexed citations
2.
Liu, Haiming, Jeff Harris, Ross Sherlock, et al.. (2023). Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada. Journal of Geochemical Exploration. 253. 107279–107279. 18 indexed citations
3.
Caritat, Patrice de, Eric Grunsky, & David B. Smith. (2023). Estimating the silica content and loss-on-ignition in the North American Soil Geochemical Landscapes datasets: a recursive inversion approach. Geochemistry Exploration Environment Analysis. 23(3). 1 indexed citations
4.
5.
Liu, Haiming, Jeff Harris, Ross Sherlock, et al.. (2023). Mineral Prospectivity Mapping Using Machine Learning Techniques for Gold Exploration in the Larder Lake Area, Ontario, Canada. SSRN Electronic Journal. 2 indexed citations
6.
Hall, Rebecca, et al.. (2023). A machine learning approach to predicting plant available phosphorus that accounts for soil heterogeneity and regional variability. Journal of Soils and Sediments. 24(1). 390–401. 2 indexed citations
7.
Grunsky, Eric, et al.. (2022). Tellus regional stream water geochemistry: environmental and mineral exploration applications. Geochemistry Exploration Environment Analysis. 22(1). 5 indexed citations
8.
Greenacre, Michael, Eric Grunsky, & John Bacon‐Shone. (2020). A comparison of isometric and amalgamation logratio balances in compositional data analysis. Computers & Geosciences. 148. 104621–104621. 18 indexed citations
9.
Grunsky, Eric & Dennis C. Arne. (2020). Mineral-resource prediction using advanced data analytics and machine learning of the QUEST-South stream-sediment geochemical data, southwestern British Columbia, Canada. Geochemistry Exploration Environment Analysis. 21(1). 19 indexed citations
10.
Mueller, Ute, Raimon Tolosana‐Delgado, Eric Grunsky, & Jennifer McKinley. (2020). Biplots for compositional data derived from generalized joint diagonalization methods. Australasian Journal of Paramedicine. 8. 100044–100044. 6 indexed citations
11.
Grunsky, Eric & Patrice de Caritat. (2019). State-of-the-art analysis of geochemical data for mineral exploration. Geochemistry Exploration Environment Analysis. 20(2). 217–232. 126 indexed citations
12.
Yang, Jie, Eric Grunsky, & Qiuming Cheng. (2018). A novel hierarchical clustering analysis method based on Kullback–Leibler divergence and application on dalaimiao geochemical exploration data. Computers & Geosciences. 123. 10–19. 32 indexed citations
13.
Chen, Shishi, Kéiko Hattori, & Eric Grunsky. (2018). Identification of sandstones above blind uranium deposits using multivariate statistical assessment of compositional data, Athabasca Basin, Canada. Journal of Geochemical Exploration. 188. 229–239. 18 indexed citations
14.
Chen, Shishi, Kéiko Hattori, & Eric Grunsky. (2017). Multielement statistical evidence for uraniferous hydrothermal activity in sandstones overlying the Phoenix uranium deposit, Athabasca Basin, Canada. Mineralium Deposita. 53(4). 493–508. 8 indexed citations
15.
Grunsky, Eric, Patrice de Caritat, & Ute Mueller. (2017). Using surface regolith geochemistry to map the major crustal blocks of the Australian continent. Gondwana Research. 46. 227–239. 30 indexed citations
16.
Makvandi, Sheida, Georges Beaudoin, Eric Grunsky, et al.. (2016). Partial least squares-discriminant analysis of trace element compositions of magnetite from various VMS deposit subtypes: Application to mineral exploration. Ore Geology Reviews. 78. 388–408. 89 indexed citations
17.
Harris, Jeff, Eric Grunsky, Pouran Behnia, & D Corrigan. (2015). Data- and knowledge-driven mineral prospectivity maps for Canada's North. Ore Geology Reviews. 71. 788–803. 113 indexed citations
18.
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.
Curran, James M., Gordon M. Miskelly, Sally Coulson, et al.. (2009). Compositional data analysis for elemental data in forensic science. Forensic Science International. 188(1-3). 81–90. 30 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 Frits Agterberg Breakdown of academic impact, for papers by Carlos Roberto de Souza Filho Breakdown of academic impact, for papers by Alok Porwal Breakdown of academic impact, for papers by F.J.A. van Ruitenbeek Breakdown of academic impact, for papers by Graeme Bonham-Carter Breakdown of academic impact, for papers by Katsuaki Koike Breakdown of academic impact, for papers by Thomas Cudahy Breakdown of academic impact, for papers by Alastair J. Sinclair Breakdown of academic impact, for papers by Kefa Zhou Breakdown of academic impact, for papers by Shuhab D. Khan
Rankless by CCL
2026