M B McClenaghan

2.4k total citations
63 papers, 1.5k citations indexed

About

M B McClenaghan is a scholar working on Artificial Intelligence, Geophysics and Mechanics of Materials. According to data from OpenAlex, M B McClenaghan has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 38 papers in Geophysics and 18 papers in Mechanics of Materials. Recurrent topics in M B McClenaghan's work include Geochemistry and Geologic Mapping (54 papers), Geological and Geochemical Analysis (35 papers) and Geology and Paleoclimatology Research (17 papers). M B McClenaghan is often cited by papers focused on Geochemistry and Geologic Mapping (54 papers), Geological and Geochemical Analysis (35 papers) and Geology and Paleoclimatology Research (17 papers). M B McClenaghan collaborates with scholars based in Canada, United States and Norway. M B McClenaghan's co-authors include G.E.M. Hall, Stewart M. Hamilton, Matthew I. Leybourne, Eion M. Cameron, Andrew M. McDonald, R C Paulen, Louis J. Cabri, Daniel J. Kontak, Georges Beaudoin and Sheida Makvandi and has published in prestigious journals such as Lithos, Geological Society London Special Publications and Economic Geology.

In The Last Decade

M B McClenaghan

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M B McClenaghan Canada 20 1.2k 891 314 253 226 63 1.5k
Karen D. Kelley United States 23 1.1k 1.0× 1.2k 1.4× 545 1.7× 139 0.5× 254 1.1× 82 1.8k
Eduardo Gonzáléz-Partida Mexico 18 698 0.6× 893 1.0× 312 1.0× 106 0.4× 223 1.0× 108 1.5k
Albert H. Hofstra United States 26 1.6k 1.4× 1.8k 2.0× 567 1.8× 146 0.6× 279 1.2× 82 2.3k
Stuart F. Simmons New Zealand 24 1.3k 1.1× 1.9k 2.1× 402 1.3× 193 0.8× 323 1.4× 52 2.3k
Antonio Arribas United States 18 1.2k 1.1× 1.7k 1.9× 324 1.0× 122 0.5× 137 0.6× 46 2.0k
Robert A. Ayuso United States 28 1.1k 1.0× 1.8k 2.0× 443 1.4× 255 1.0× 99 0.4× 91 2.5k
Michel Jébrak Canada 21 751 0.7× 1.3k 1.5× 318 1.0× 126 0.5× 177 0.8× 91 1.7k
D. L. Leach United States 28 1.6k 1.4× 2.4k 2.6× 704 2.2× 257 1.0× 441 2.0× 71 3.0k
Rosa María Prol‐Ledesma Mexico 23 506 0.4× 690 0.8× 418 1.3× 197 0.8× 280 1.2× 98 1.7k
Sarah A. Gleeson Canada 30 1.1k 1.0× 1.8k 2.0× 734 2.3× 339 1.3× 389 1.7× 98 2.4k

Countries citing papers authored by M B McClenaghan

Since Specialization
Citations

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

Fields of papers citing papers by M B McClenaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M B McClenaghan. 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 M B McClenaghan. The network helps show where M B McClenaghan may publish in the future.

Co-authorship network of co-authors of M B McClenaghan

This figure shows the co-authorship network connecting the top 25 collaborators of M B McClenaghan. A scholar is included among the top collaborators of M B McClenaghan 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 M B McClenaghan. M B McClenaghan 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.
McDonald, Andrew M., et al.. (2023). Trace Element Characteristics of Tourmaline in Porphyry Cu Systems: Development and Application To Discrimination. 61(1). 31–60. 11 indexed citations
2.
McDonald, Andrew M., et al.. (2023). Recognizing Tourmaline in Mineralized Porphyry Cu Systems: Textures and Major-Element Chemistry. 61(1). 3–29. 6 indexed citations
3.
McClenaghan, M B, et al.. (2023). Stream Sediment Indicator Mineral Signatures of the Casino Porphyry Cu-Au-Mo Deposit, Yukon, Canada. Economic Geology. 118(2). 411–431. 5 indexed citations
4.
Peter, Jan M., M B McClenaghan, M G Gadd, et al.. (2022). Evaluation of magnetite as an indicator mineral for porphyry Cu exploration: a case study using bedrock and stream sediments at the Casino porphyry Cu–Au–Mo deposit, Yukon, Canada. Geochemistry Exploration Environment Analysis. 22(2). 7 indexed citations
5.
McClenaghan, M B, et al.. (2022). Hydrogeochemistry of porphyry-related solutes in ground and surface waters; an example from the Casino Cu–Au–Mo deposit, Yukon, Canada. Geochemistry Exploration Environment Analysis. 22(2). 10 indexed citations
6.
Leybourne, Matthew I., et al.. (2021). Suitability of surficial media for Ni–Cu–PGE exploration in an established mining camp: a case study from the South Range of the Sudbury Igneous Complex, Canada. Geochemistry Exploration Environment Analysis. 22(1). 2 indexed citations
7.
8.
McClenaghan, M B, et al.. (2021). Overview of surficial geochemistry and indicator mineral surveys and case studies from the Geological Survey of Canada's GEM Program. Geochemistry Exploration Environment Analysis. 22(1). 7 indexed citations
9.
McClenaghan, M B, et al.. (2021). Automated Indicator Mineral Analysis of Fine-Grained Till Associated with the Sisson W-Mo Deposit, New Brunswick, Canada. Minerals. 11(2). 103–103. 7 indexed citations
10.
Kontak, Daniel J., et al.. (2018). Assessing Scheelite As an Ore-deposit Discriminator Using Its Trace-element and REE Chemistry. The Canadian Mineralogist. 56(3). 265–302. 92 indexed citations
11.
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
12.
McDonald, Andrew M., et al.. (2016). On the Relationship Between Cathodoluminescence and the Chemical Composition of Scheelite From Geologically Diverse Ore-Deposit Environments. The Canadian Mineralogist. 54(5). 1147–1173. 61 indexed citations
13.
14.
Gleeson, Sarah A., et al.. (2015). Characterization and dispersal of indicator minerals associated with the Pine Point Mississippi Valley-type (MVT) district, Northwest Territories, Canada. Canadian Journal of Earth Sciences. 52(9). 776–794. 15 indexed citations
15.
Paulen, R C, et al.. (2013). Regional and local ice-flow history in the vicinity of the Izok Lake Zn–Cu–Pb–Ag deposit, Nunavut. Canadian Journal of Earth Sciences. 50(12). 1209–1222. 19 indexed citations
16.
17.
McClenaghan, M B, L H Thorleifson, & R N W Dilabio. (2000). Till geochemical and indicator mineral methods in mineral exploration. Ore Geology Reviews. 16(3-4). 145–166. 53 indexed citations
18.
McClenaghan, M B. (1994). Till geochemistry in areas of thick drift and its application of gold exploration, Matheson area, northeastern Ontario. Exploration and Mining Geology. 3(1). 17–30. 10 indexed citations
19.
McClenaghan, M B. (1992). Surface till geochemistry and implications for exploration, Black River-Matheson area, northeastern Ontario. Exploration and Mining Geology. 1(4). 327–337. 7 indexed citations
20.
McClenaghan, M B, et al.. (1992). Geochemistry and clast lithology as an aid to till classification, Matheson, Ontario, Canada. Journal of Geochemical Exploration. 42(2-3). 237–260. 6 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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