Malcolm J. Scoble

2.8k total citations
105 papers, 1.9k citations indexed

About

Malcolm J. Scoble is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Control and Systems Engineering. According to data from OpenAlex, Malcolm J. Scoble has authored 105 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 35 papers in Ecology, Evolution, Behavior and Systematics and 20 papers in Control and Systems Engineering. Recurrent topics in Malcolm J. Scoble's work include Lepidoptera: Biology and Taxonomy (42 papers), Plant and animal studies (22 papers) and Mining Techniques and Economics (20 papers). Malcolm J. Scoble is often cited by papers focused on Lepidoptera: Biology and Taxonomy (42 papers), Plant and animal studies (22 papers) and Mining Techniques and Economics (20 papers). Malcolm J. Scoble collaborates with scholars based in United Kingdom, Canada and South Africa. Malcolm J. Scoble's co-authors include Ole Karsholt, Marcello M. Veiga, Mary Louise McAllister, Kevin J. Gaston, Anne C. Crook, Simon Joseph Mayo, Ian J. Kitching, Benjamin R. Clark, Mieke Koehoorn and Janis Shandro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Journal of Cleaner Production.

In The Last Decade

Malcolm J. Scoble

100 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm J. Scoble United Kingdom 26 751 729 331 251 245 105 1.9k
Erik V. Nordheim United States 34 558 0.7× 287 0.4× 74 0.2× 485 1.9× 51 0.2× 90 3.5k
David Lamb Australia 36 761 1.0× 86 0.1× 302 0.9× 541 2.2× 84 0.3× 115 5.5k
Richard Schodde Australia 17 457 0.6× 502 0.7× 223 0.7× 11 0.0× 270 1.1× 109 1.8k
Ben P. Miller Australia 30 745 1.0× 283 0.4× 351 1.1× 91 0.4× 52 0.2× 96 2.9k
Ming Bai China 27 1.3k 1.7× 492 0.7× 80 0.2× 188 0.7× 29 0.1× 174 2.4k
Russell G. Death New Zealand 35 193 0.3× 102 0.1× 309 0.9× 75 0.3× 94 0.4× 109 4.7k
José Natalino Macedo Silva Brazil 27 366 0.5× 89 0.1× 188 0.6× 363 1.4× 140 0.6× 83 5.0k
Marc J. Weissburg United States 36 706 0.9× 341 0.5× 40 0.1× 763 3.0× 109 0.4× 109 3.4k
Manfred J. Lexer Austria 39 525 0.7× 131 0.2× 556 1.7× 1.6k 6.5× 358 1.5× 100 8.1k
Gopalasamy Reuben Clements Malaysia 29 499 0.7× 252 0.3× 543 1.6× 259 1.0× 8 0.0× 68 3.1k

Countries citing papers authored by Malcolm J. Scoble

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm J. Scoble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm J. Scoble. 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 Malcolm J. Scoble. The network helps show where Malcolm J. Scoble may publish in the future.

Co-authorship network of co-authors of Malcolm J. Scoble

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. Scoble. A scholar is included among the top collaborators of Malcolm J. Scoble 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 Malcolm J. Scoble. Malcolm J. Scoble 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
2.
Liu, Y., S. Nadolski, Davide Elmo, Bern Klein, & Malcolm J. Scoble. (2015). Use of Digital Imaging Processing Techniques to Characterise Block Caving Secondary Fragmentation and Implications for a Proposed Cave-to-Mill Approach. 3 indexed citations
3.
Ahmed, Haitham M., Malcolm J. Scoble, & W. Scott Dunbar. (2014). A comparison between Offset Herringbone and El Teniente underground cave mining extraction layouts using a discrete event simulation technique. International Journal of Mining Reclamation and Environment. 30(2). 71–91. 7 indexed citations
4.
Scoble, Malcolm J.. (2010). NATURAL HISTORY COLLECTIONS DIGITIZATION: RATIONALE AND VALUE. 7. 12 indexed citations
5.
Scoble, Malcolm J.. (2009). A new view on the professional nature of mining engineering in society. International Journal of Mining Reclamation and Environment. 23(4). 239–240. 1 indexed citations
6.
Klein, Bern, et al.. (2008). Integrated mining, processing and waste disposal systems for reduced energy and operating costs at Xstrata Nickel's Sudbury Operations. Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A. 117(3). 142–153. 9 indexed citations
7.
Scoble, Malcolm J., et al.. (2003). Planning for flexibility in underground mine production systems. Mining Engineering. 55(8). 16–21. 27 indexed citations
8.
Scoble, Malcolm J. & Martin Krüger. (2002). A review of the genera of Macariini with a revised classification of the tribe (Geometridae: Ennominae). Zoological Journal of the Linnean Society. 134(3). 257–315. 26 indexed citations
9.
Scoble, Malcolm J., et al.. (2001). Linnaeus's butterflies (Lepidoptera: Papilionoidea and Hesperioidea). Zoological Journal of the Linnean Society. 132(3). 277–399. 25 indexed citations
10.
Scoble, Malcolm J., et al.. (2001). The Canadian mining education council: An initiative to network Canada's mining schools. 1 indexed citations
11.
Scoble, Malcolm J.. (2001). Hawkmoths Of The World: An Annotated And Illustrated Revisionary Checklist (Lepidoptera: Sphingidae). Systematic Entomology. 26(1). 125–125. 10 indexed citations
12.
Scoble, Malcolm J., et al.. (2000). Strategic planning for internet applications in mining. 93(1042). 100–104. 2 indexed citations
13.
Scoble, Malcolm J.. (1997). The transformation of systematics?. Trends in Ecology & Evolution. 12(12). 465–466. 2 indexed citations
14.
Scoble, Malcolm J., Kevin J. Gaston, & Anne C. Crook. (1995). Using taxonomic data to estimate species richness in Geometridae. Biodiversity Heritage Library (Smithsonian Institution). 36 indexed citations
15.
Scoble, Malcolm J.. (1994). A taxonomic revision of the genera Phrygionis Hübner and Pityeja Walker (Geometridae: Ennominae, Palyadini). Zoological Journal of the Linnean Society. 111(2). 99–160. 2 indexed citations
16.
Harwood, Laurence M., et al.. (1994). The chemistry and systematic importance of the green wing pigment in emerald moths (Lepidopera: Geometridae, Geometrinae). Biochemical Systematics and Ecology. 22(1). 43–51. 13 indexed citations
17.
Scoble, Malcolm J.. (1986). The structure and affinities of the Hedyloidea: a new concept of the butterflies. Biodiversity Heritage Library (Smithsonian Institution). 47 indexed citations
18.
Scoble, Malcolm J.. (1980). The genus Niepeltia Strand: taxonomy, and comments on structure and relationships (Lepidoptera: Nepticulidae). 32(8). 4 indexed citations
19.
Scoble, Malcolm J.. (1980). Trifurcula Zeller: a critical analysis of the genus, cladistic relationships and descriptions of two new species from South Africa (Lepidoptera: Nepticulidae). Journal of the Entomological Society of Southern Africa. 43. 3 indexed citations
20.
Scoble, Malcolm J.. (1978). Nepticulidae of southern Africa: a taxonomic revision of the genus Stigmella Schrank (Lepidoptera: Monotrysia). 31. 3 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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