Arko Lucieer

11.4k total citations · 9 hit papers
156 papers, 8.9k citations indexed

About

Arko Lucieer is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Arko Lucieer has authored 156 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Ecology, 75 papers in Environmental Engineering and 36 papers in Global and Planetary Change. Recurrent topics in Arko Lucieer's work include Remote Sensing and LiDAR Applications (67 papers), Remote Sensing in Agriculture (51 papers) and Species Distribution and Climate Change (29 papers). Arko Lucieer is often cited by papers focused on Remote Sensing and LiDAR Applications (67 papers), Remote Sensing in Agriculture (51 papers) and Species Distribution and Climate Change (29 papers). Arko Lucieer collaborates with scholars based in Australia, Germany and Netherlands. Arko Lucieer's co-authors include Darren Turner, Luke Wallace, Christopher Watson, Steve Harwin, S.M. de Jong, Zbyněk Malenovský, Sharon A. Robinson, Diana H. King, Petr Vopěnka and Eija Honkavaara and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Arko Lucieer

153 papers receiving 8.6k citations

Hit Papers

Mapping landslide displac... 2012 2026 2016 2021 2013 2012 2016 2012 2012 200 400 600
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. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography
    2013 602 citations Arko Lucieer, Darren Turner et al. profile →
  2. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds
    2012 585 citations Darren Turner, Arko Lucieer et al. Remote Sensing profile →
  3. Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
    2016 582 citations Luke Wallace, Arko Lucieer et al. profile →
  4. Development of a UAV-LiDAR System with Application to Forest Inventory
    2012 544 citations Luke Wallace, Arko Lucieer et al. Remote Sensing profile →
  5. Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
    2012 523 citations Steve Harwin, Arko Lucieer Remote Sensing profile →
  6. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows
    2018 453 citations Arko Lucieer et al. Remote Sensing profile →
  7. Direct Georeferencing of Ultrahigh-Resolution UAV Imagery
    2013 340 citations Darren Turner, Arko Lucieer et al. profile →
  8. Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)
    2015 334 citations Darren Turner, Arko Lucieer et al. Remote Sensing profile →
  9. The future of Earth observation in hydrology
    2017 321 citations Matthew F. McCabe, Arko Lucieer et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arko Lucieer Australia 40 4.9k 3.6k 2.6k 1.8k 1.2k 156 8.9k
Norbert Pfeifer Austria 51 7.0k 1.4× 2.8k 0.8× 4.2k 1.6× 1.0k 0.6× 743 0.6× 285 8.8k
Guangjian Yan China 43 6.6k 1.3× 4.0k 1.1× 907 0.3× 4.1k 2.3× 651 0.5× 238 9.8k
Darren Turner Australia 23 2.9k 0.6× 1.4k 0.4× 2.0k 0.8× 637 0.4× 899 0.7× 48 4.7k
Eija Honkavaara Finland 40 3.7k 0.8× 3.1k 0.9× 1.6k 0.6× 994 0.6× 1.0k 0.8× 183 6.2k
Qinghua Guo China 58 5.5k 1.1× 5.0k 1.4× 832 0.3× 3.7k 2.1× 306 0.3× 229 11.3k
James Brasington United Kingdom 35 3.5k 0.7× 3.9k 1.1× 2.5k 1.0× 1.7k 0.9× 571 0.5× 76 8.5k
S.M. de Jong Netherlands 44 2.6k 0.5× 2.3k 0.6× 763 0.3× 2.4k 1.4× 425 0.3× 143 7.4k
John Armston United States 42 5.5k 1.1× 4.0k 1.1× 468 0.2× 2.8k 1.6× 451 0.4× 132 7.5k
M. A. Hofton United States 35 5.0k 1.0× 3.5k 1.0× 512 0.2× 2.1k 1.2× 448 0.4× 72 6.8k
Antero Kukko Finland 47 6.9k 1.4× 2.3k 0.6× 3.5k 1.3× 986 0.6× 1.1k 0.9× 192 8.4k

Countries citing papers authored by Arko Lucieer

Since Specialization
Citations

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

Fields of papers citing papers by Arko Lucieer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arko Lucieer

This figure shows the co-authorship network connecting the top 25 collaborators of Arko Lucieer. A scholar is included among the top collaborators of Arko Lucieer 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 Arko Lucieer. Arko Lucieer 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
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Lucieer, Arko, et al.. (2023). Remote sensing of night‐time lights and electricity consumption: A systematic literature review and meta‐analysis. Geography Compass. 17(4). 17 indexed citations
4.
Coops, Nicholas C., et al.. (2022). Modelling internal tree attributes for breeding applications in Douglas-fir progeny trials using RPAS-ALS. SHILAP Revista de lepidopterología. 7. 100072–100072. 8 indexed citations
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Hally, Bryan, Luke Wallace, Darren Turner, et al.. (2021). High-Resolution Estimates of Fire Severity—An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia. Fire. 4(1). 14–14. 29 indexed citations
7.
Harrison, Peter A., Nicolò Camarretta, Tanya G. Bailey, et al.. (2021). From communities to individuals: Using remote sensing to inform and monitor woodland restoration. Ecological Management & Restoration. 22(S2). 127–139. 5 indexed citations
8.
Cummings, Vonda J., et al.. (2021). Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies. Remote Sensing. 13(17). 3451–3451. 21 indexed citations
9.
Camarretta, Nicolò, Peter A. Harrison, Arko Lucieer, et al.. (2020). From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure. Remote Sensing. 12(19). 3184–3184. 34 indexed citations
10.
Treier, Urs A., et al.. (2020). Detecting shrub encroachment in seminatural grasslands using UAS LiDAR. Ecology and Evolution. 10(11). 4876–4902. 31 indexed citations
11.
Aragon, B., Kasper Johansen, Stephen Parkes, et al.. (2020). A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments. Sensors. 20(11). 3316–3316. 66 indexed citations
12.
Camarretta, Nicolò, Peter A. Harrison, Tanya G. Bailey, et al.. (2019). Stability of species and provenance performance when translocated into different community assemblages. Restoration Ecology. 28(2). 447–458. 10 indexed citations
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Camarretta, Nicolò, Peter A. Harrison, Tanya G. Bailey, et al.. (2019). Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches. New Forests. 51(4). 573–596. 136 indexed citations
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Osborn, JE, et al.. (2017). Photogrammetry for Forest Inventory: Planning Guidelines. eCite Digital Repository (University of Tasmania). 4 indexed citations
16.
Angel, Yoseline, et al.. (2017). UAV-Based Hyperspectral Remote Sensing for Precision Agriculture: Challenges and Opportunities. AGUFM. 2017. 1 indexed citations
17.
Kuczera, George, et al.. (2015). Estimating tree and stand sapwood area in spatially heterogeneous southeastern Australian forests. Journal of Plant Ecology. 9(3). 272–284. 16 indexed citations
18.
Lucieer, Arko, et al.. (2013). Monitoring of Antarctic moss ecosystems using a high spatial resolution imaging spectroscopy. Research Online (University of Wollongong). 1. 1 indexed citations
19.
Lucieer, Arko, Sharon A. Robinson, & Dana M. Bergstrom. (2010). Aerial 'OktoKopter' to map Antarctic moss. eCite Digital Repository (University of Tasmania). 2 indexed citations
20.
Bergstrom, Dana M., Arko Lucieer, Kate Kiefer, et al.. (2009). Indirect effects of invasive species removal devastate World Heritage Island. Journal of Applied Ecology. 46(1). 73–81. 298 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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