Simon Murphy

1.2k total citations · 1 hit paper
14 papers, 990 citations indexed

About

Simon Murphy is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Simon Murphy has authored 14 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nature and Landscape Conservation, 8 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Simon Murphy's work include Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Simon Murphy is often cited by papers focused on Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Simon Murphy collaborates with scholars based in Australia, Netherlands and United Kingdom. Simon Murphy's co-authors include Kim Calders, Pasi Raumonen, M. Kaasalainen, Martin Herold, Darius Culvenor, Valerio Avitabile, Glenn Newnham, Andrew Burt, Mathias Disney and John Armston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Forest Ecology and Management.

In The Last Decade

Simon Murphy

14 papers receiving 971 citations

Hit Papers

Nondestructive estimates of above‐ground biomass using te... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
    2014 508 citations Kim Calders, Glenn Newnham et al. Methods in Ecology and Evolution profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Murphy Australia 11 674 647 383 282 204 14 990
Eric Bastos Görgens Brazil 20 629 0.9× 719 1.1× 396 1.0× 400 1.4× 223 1.1× 64 1.1k
M. O. Hunter Brazil 7 589 0.9× 726 1.1× 370 1.0× 521 1.8× 132 0.6× 11 1.0k
Sruthi M. Krishna Moorthy Belgium 12 507 0.8× 570 0.9× 271 0.7× 260 0.9× 182 0.9× 27 857
Henrique Ferraço Scolforo Brazil 17 551 0.8× 348 0.5× 311 0.8× 181 0.6× 50 0.2× 48 764
Matheus Boni Vicari United Kingdom 10 426 0.6× 556 0.9× 222 0.6× 254 0.9× 164 0.8× 20 714
Michał Zasada Poland 16 587 0.9× 263 0.4× 461 1.2× 139 0.5× 144 0.7× 69 866
Lutz Fehrmann Germany 14 490 0.7× 312 0.5× 319 0.8× 173 0.6× 78 0.4× 38 720
Naoyuki Furuya Japan 13 236 0.4× 399 0.6× 171 0.4× 236 0.8× 127 0.6× 38 561
Manuela Hirschmugl Austria 12 348 0.5× 710 1.1× 283 0.7× 484 1.7× 228 1.1× 29 924
Anders Siggins Australia 7 316 0.5× 357 0.6× 204 0.5× 181 0.6× 147 0.7× 9 547

Countries citing papers authored by Simon Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Simon Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Murphy. A scholar is included among the top collaborators of Simon Murphy 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 Simon Murphy. Simon Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Madhavan, Dinesh B., Jeff Baldock, Simon Murphy, et al.. (2017). Rapid prediction of particulate, humus and resistant fractions of soil organic carbon in reforested lands using infrared spectroscopy. Journal of Environmental Management. 193. 290–299. 28 indexed citations
2.
Cawson, Jane G., et al.. (2017). Messmate stringybark: bark ignitability and burning sustainability in relation to fragment dimensions, hazard score and time since fire. International Journal of Wildland Fire. 26(10). 866–876. 11 indexed citations
3.
Raumonen, Pasi, Eric Casella, Kim Calders, et al.. (2015). MASSIVE-SCALE TREE MODELLING FROM TLS DATA. SHILAP Revista de lepidopterología. II-3/W4. 189–196. 113 indexed citations
4.
Bi, Huiquan, Simon Murphy, Liubov Volkova, et al.. (2015). Additive biomass equations based on complete weighing of sample trees for open eucalypt forest species in south-eastern Australia. Forest Ecology and Management. 349. 106–121. 45 indexed citations
5.
Volkova, Liubov, Huiquan Bi, Simon Murphy, & Christopher J. Weston. (2015). Empirical Estimates of Aboveground Carbon in Open Eucalyptus Forests of South-Eastern Australia and Its Potential Implication for National Carbon Accounting. Forests. 6(10). 3395–3411. 23 indexed citations
6.
Calders, Kim, Glenn Newnham, Andrew Burt, et al.. (2014). Nondestructive estimates of above‐ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution. 6(2). 198–208. 508 indexed citations breakdown →
7.
Preece, Noel, M. L. Rooney, John R. Bartle, et al.. (2014). Improved estimation of biomass accumulation by environmental plantings and mallee plantings using FullCAM. CSIRO. 16 indexed citations
8.
9.
Paul, Keryn I., Stephen H. Roxburgh, Jacqueline R. England, et al.. (2014). Improved models for estimating temporal changes in carbon sequestration in above-ground biomass of mixed-species environmental plantings. Forest Ecology and Management. 338. 208–218. 45 indexed citations
10.
Volkova, Liubov, C. P. Meyer, Simon Murphy, et al.. (2014). Fuel reduction burning mitigates wildfire effects on forest carbon and greenhouse gas emission. International Journal of Wildland Fire. 23(6). 771–780. 51 indexed citations
11.
Paul, Keryn I., Stephen H. Roxburgh, Jacqueline R. England, et al.. (2014). Root biomass of carbon plantings in agricultural landscapes of southern Australia: Development and testing of allometrics. Forest Ecology and Management. 318. 216–227. 23 indexed citations
12.
Calders, Kim, Glenn Newnham, Martin Herold, et al.. (2013). Estimating above ground biomass from terrestrial laser scanning in Australian Eucalypt open forest. Socio-Environmental Systems Modeling. 90–97. 10 indexed citations
13.
Paul, Keryn I., Stephen H. Roxburgh, Jacqueline R. England, et al.. (2013). Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. Forest Ecology and Management. 310. 483–494. 107 indexed citations
14.

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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