Andrew K. Skidmore

46.3k total citations · 7 hit papers
507 papers, 32.3k citations indexed

About

Andrew K. Skidmore is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Andrew K. Skidmore has authored 507 papers receiving a total of 32.3k indexed citations (citations by other indexed papers that have themselves been cited), including 355 papers in Ecology, 132 papers in Global and Planetary Change and 129 papers in Environmental Engineering. Recurrent topics in Andrew K. Skidmore's work include Remote Sensing in Agriculture (228 papers), Species Distribution and Climate Change (124 papers) and Remote Sensing and LiDAR Applications (95 papers). Andrew K. Skidmore is often cited by papers focused on Remote Sensing in Agriculture (228 papers), Species Distribution and Climate Change (124 papers) and Remote Sensing and LiDAR Applications (95 papers). Andrew K. Skidmore collaborates with scholars based in Netherlands, Australia and Germany. Andrew K. Skidmore's co-authors include Tiejun Wang, Roshanak Darvishzadeh, Onisimo Mutanga, Clement Atzberger, Martin Schlerf, T.A. Groen, H.H.T. Prins, Moses Azong Cho, Pedro J. Leitão and Jane Elith and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew K. Skidmore

491 papers receiving 31.1k citations

Hit Papers

Collinearity: a review of methods to deal with it an... 2003 2026 2010 2018 2012 2013 2005 2004 2003 2.0k 4.0k 6.0k
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. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
    2012 7.5k citations Andrew K. Skidmore et al. profile →
  2. Where is positional uncertainty a problem for species distribution modelling?
    2013 1.3k citations T.A. Groen, Andrew K. Skidmore et al. profile →
  3. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
    2005 802 citations Andrew K. Skidmore et al. Remote Sensing of Environment profile →
  4. Narrow band vegetation indices overcome the saturation problem in biomass estimation
    2004 606 citations Andrew K. Skidmore et al. profile →
  5. EFFECTS OF FIRE AND HERBIVORY ON THE STABILITY OF SAVANNA ECOSYSTEMS
    2003 588 citations Andrew K. Skidmore, H.H.T. Prins et al. profile →
  6. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests
    2009 474 citations Andrew K. Skidmore et al. profile →
  7. Environmental science: Agree on biodiversity metrics to track from space
    2015 302 citations Andrew K. Skidmore, Marc Paganini 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
Andrew K. Skidmore Netherlands 84 19.4k 9.8k 7.4k 6.8k 6.7k 507 32.3k
Alfredo Huete United States 77 31.3k 1.6× 23.8k 2.4× 15.5k 2.1× 4.4k 0.7× 3.3k 0.5× 354 43.2k
Gregory P. Asner United States 120 33.3k 1.7× 29.6k 3.0× 14.5k 2.0× 8.3k 1.2× 16.1k 2.4× 618 65.3k
Compton J. Tucker United States 103 28.8k 1.5× 31.1k 3.2× 12.2k 1.7× 5.5k 0.8× 5.4k 0.8× 252 50.9k
Matthew C. Hansen United States 83 19.4k 1.0× 24.2k 2.5× 9.4k 1.3× 3.6k 0.5× 5.5k 0.8× 208 38.8k
M. A. Friedl United States 74 15.9k 0.8× 16.8k 1.7× 8.7k 1.2× 4.2k 0.6× 2.2k 0.3× 176 26.5k
Giles M. Foody United Kingdom 76 15.0k 0.8× 11.5k 1.2× 7.8k 1.1× 2.6k 0.4× 2.5k 0.4× 310 27.9k
Cajo J. F. ter Braak Netherlands 69 18.8k 1.0× 7.1k 0.7× 1.8k 0.3× 3.0k 0.4× 14.0k 2.1× 197 44.6k
Nicholas C. Coops Canada 83 16.5k 0.8× 13.4k 1.4× 15.0k 2.0× 3.4k 0.5× 9.2k 1.4× 642 28.9k
Christopher B. Field United States 120 21.8k 1.1× 37.6k 3.8× 7.0k 0.9× 3.7k 0.5× 10.5k 1.6× 354 72.9k
Ranga B. Myneni United States 110 28.4k 1.5× 36.9k 3.8× 14.0k 1.9× 5.3k 0.8× 5.9k 0.9× 372 52.0k

Countries citing papers authored by Andrew K. Skidmore

Since Specialization
Citations

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

Fields of papers citing papers by Andrew K. Skidmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew K. Skidmore

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew K. Skidmore. A scholar is included among the top collaborators of Andrew K. Skidmore 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 Andrew K. Skidmore. Andrew K. Skidmore 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.
Wang, Tiejun, et al.. (2025). Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images. ISPRS Journal of Photogrammetry and Remote Sensing. 222. 99–111.
2.
Wang, Tiejun, et al.. (2025). Prey species richness and secondary forest among the key factors shaping Javan leopard distribution. Ecological Indicators. 178. 113879–113879.
3.
Abdullah, Haidi, Elnaz Neinavaz, Roshanak Darvishzadeh, et al.. (2025). Integrating process-based vegetation modelling with high-resolution imagery to assess bark beetle infestation and land surface temperature effects on forest net primary productivity. Remote Sensing Applications Society and Environment. 37. 101499–101499.
4.
Darvishzadeh, Roshanak, et al.. (2024). Leaf carbon-based constituents of temperate forest species retrieved using PROSPECT-PRO. Agricultural and Forest Meteorology. 362. 110337–110337. 1 indexed citations
5.
Skidmore, Andrew K., Andjin Siegenthaler, Tiejun Wang, et al.. (2022). Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing. SHILAP Revista de lepidopterología. 6. 100065–100065. 16 indexed citations
6.
Ali, Abebe Mohammed, Haidi Abdullah, Roshanak Darvishzadeh, et al.. (2021). Canopy chlorophyll content retrieved from time series remote sensing data as a proxy for detecting bark beetle infestation. Remote Sensing Applications Society and Environment. 22. 100524–100524. 15 indexed citations
7.
8.
Zhu, Xi, Jing Liu, Andrew K. Skidmore, Joe Premier, & Marco Heurich. (2020). A voxel matching method for effective leaf area index estimation in temperate deciduous forests from leaf-on and leaf-off airborne LiDAR data. Remote Sensing of Environment. 240. 111696–111696. 39 indexed citations
9.
Vrieling, Anton, et al.. (2020). Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland open surface water dynamics. Journal of Hydrology. 587. 124956–124956. 11 indexed citations
10.
Sun, Weichao, Andrew K. Skidmore, Tiejun Wang, & Xia Zhang. (2019). Heavy metal pollution at mine sites estimated from reflectance spectroscopy following correction for skewed data. Environmental Pollution. 252(Pt B). 1117–1124. 35 indexed citations
11.
Wan, Peng, Tiejun Wang, Wuming Zhang, et al.. (2019). Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data. Forest Ecosystems. 6(1). 20 indexed citations
12.
Wang, Tiejun, et al.. (2014). Spotting East African Mammals in Open Savannah from Space. PLoS ONE. 9(12). e115989–e115989. 52 indexed citations
13.
Carvalho, Sabrina, Mirka Macel, Patrick P. J. Mulder, Andrew K. Skidmore, & Wim H. van der Putten. (2014). Chemical variation in Jacobaea vulgaris is influenced by the interaction of season and vegetation successional stage. Phytochemistry. 99. 86–94. 23 indexed citations
14.
Ramoelo, Abel, Moses Azong Cho, Renaud Mathieu, et al.. (2012). Estimating grass nutrients and biomass as an indicator of rangeland (forage) quality and quantity using remote sensing in Savanna ecosystems. 54(4). 1352–6. 7 indexed citations
15.
Ullah, Saleem, Andrew K. Skidmore, Mohammad Naeem, & Martin Schlerf. (2012). An accurate retrieval of leaf water content from mid to thermal infrared spectra using continuous wavelet analysis. The Science of The Total Environment. 437. 145–152. 55 indexed citations
16.
Fauzi, Anas Miftah, Martin Schlerf, Andrew K. Skidmore, Hein van Gils, & I.M.A. Heitkönig. (2011). Hyperspectral Indices for Retrieval of Chlorophyll and Nitrogen in Mangroves Using SLC and HYMAP. AGUFM. 2011. 1 indexed citations
17.
Pilesjö, Petter, et al.. (2007). GEM – the first GI Erasmus Mundus masters course. Lund University Publications (Lund University). 97–100.
18.
Wu, Guofeng, Jan de Leeuw, Andrew K. Skidmore, H.H.T. Prins, & Yaolin Liu. (2007). Concurrent monitoring of vessels and water turbidity enhances the strength of evidence in remotely sensed dredging impact assessment. Water Research. 41(15). 3271–3280. 122 indexed citations
19.
Leeuw, Jan de, et al.. (2006). Upscaling species invasion patterns from local to regional for forest ecosystem management. Peptides. 137. 170480–170480. 1 indexed citations
20.
Skidmore, Andrew K., et al.. (1996). An Operational GIS Expert System for Mapping Forest Soils. Photogrammetric Engineering & Remote Sensing. 62(5). 501–511. 49 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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