P.K. Tickle

464 total citations
14 papers, 361 citations indexed

About

P.K. Tickle is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, P.K. Tickle has authored 14 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 7 papers in Ecology and 5 papers in Nature and Landscape Conservation. Recurrent topics in P.K. Tickle's work include Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (5 papers) and Forest ecology and management (5 papers). P.K. Tickle is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (5 papers) and Forest ecology and management (5 papers). P.K. Tickle collaborates with scholars based in Australia, United Kingdom and United States. P.K. Tickle's co-authors include Richard Lucas, Christian Witte, Nicholas C. Coops, Sasha D. Hafner, Alex Pui‐Wai Lee, Mahta Moghaddam, Jenet Austin, John Gallant, Nick Wilson and Michael F. Hutchinson and has published in prestigious journals such as Remote Sensing of Environment, Journal of Environmental Management and Forest Ecology and Management.

In The Last Decade

P.K. Tickle

14 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.K. Tickle Australia 9 227 172 156 131 49 14 361
T. Allouis France 8 322 1.4× 98 0.6× 185 1.2× 65 0.5× 50 1.0× 11 396
Marks Melo Moura Brazil 7 190 0.8× 99 0.6× 132 0.8× 111 0.8× 72 1.5× 20 351
M. N. dos-Santos Brazil 11 289 1.3× 275 1.6× 273 1.8× 372 2.8× 52 1.1× 14 589
Glenn P. Catts United States 6 328 1.4× 120 0.7× 231 1.5× 135 1.0× 91 1.9× 11 470
Matthew Brolly United Kingdom 10 436 1.9× 158 0.9× 361 2.3× 158 1.2× 26 0.5× 26 557
Anders Siggins Australia 7 357 1.6× 316 1.8× 181 1.2× 204 1.6× 147 3.0× 9 547
Ernest William Mauya Tanzania 12 419 1.8× 321 1.9× 269 1.7× 171 1.3× 72 1.5× 28 562
Fugen Jiang China 11 306 1.3× 163 0.9× 281 1.8× 138 1.1× 44 0.9× 20 419
Vasileios Kalogirou Italy 7 168 0.7× 83 0.5× 130 0.8× 131 1.0× 42 0.9× 15 297
Jiří Prošek Czechia 11 231 1.0× 72 0.4× 216 1.4× 101 0.8× 26 0.5× 13 396

Countries citing papers authored by P.K. Tickle

Since Specialization
Citations

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

Fields of papers citing papers by P.K. Tickle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.K. Tickle. 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 P.K. Tickle. The network helps show where P.K. Tickle may publish in the future.

Co-authorship network of co-authors of P.K. Tickle

This figure shows the co-authorship network connecting the top 25 collaborators of P.K. Tickle. A scholar is included among the top collaborators of P.K. Tickle 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 P.K. Tickle. P.K. Tickle 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.
Guerschman, Juan Pablo, Andrew M. Fischer, Iffat Ara, et al.. (2024). Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning. Journal of Environmental Management. 356. 120564–120564. 15 indexed citations
2.
Guerschman, Juan Pablo, Andrew M. Fischer, CL Mohammed, et al.. (2023). Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning. Land. 12(6). 1142–1142. 14 indexed citations
3.
Hutchinson, Michael F., et al.. (2015). GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008. 17 indexed citations
4.
Wilson, Nick, et al.. (2011). 1 second SRTM Derived Hydrological Digital Elevation Model (DEM-H) version 1.0. 12 indexed citations
5.
Gallant, John, et al.. (2009). 1 second SRTM Level 2 Derived Digital Surface Model v1.0. 1 indexed citations
6.
Tickle, P.K., et al.. (2006). Quantifying Australian forest floristics and structure using small footprint LiDAR and large scale aerial photography. Forest Ecology and Management. 223(1-3). 379–394. 63 indexed citations
7.
Lucas, Richard, et al.. (2005). Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia. Remote Sensing of Environment. 100(3). 407–425. 123 indexed citations
8.
Landsberg, J. J., et al.. (2005). Application of three modelling approaches to simulating tree growth in central NSW, Australia. Environmental Modelling & Software. 21(3). 310–319. 8 indexed citations
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Tickle, P.K., Nicholas C. Coops, & Sasha D. Hafner. (2001). Comparison of a forest process model (3-PG) with growth and yield models to predict productivity at Bago State Forest, NSW. Australian Forestry. 64(2). 111–122. 19 indexed citations
13.
Tickle, P.K., Nicholas C. Coops, & Sasha D. Hafner. (2001). Assessing forest productivity at local scales across a native eucalypt forest using a process model, 3PG-SPATIAL. Forest Ecology and Management. 152(1-3). 275–291. 66 indexed citations
14.
Lucas, Richard, P.K. Tickle, Jenet Austin, et al.. (2000). Use of AIRSAR (POLSAR) data for quantifying the biomass of woodlands, Queensland, Australia. 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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2026