Tim Whiteside

890 total citations
24 papers, 626 citations indexed

About

Tim Whiteside is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Tim Whiteside has authored 24 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 10 papers in Environmental Engineering and 9 papers in Global and Planetary Change. Recurrent topics in Tim Whiteside's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (9 papers) and Land Use and Ecosystem Services (7 papers). Tim Whiteside is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (9 papers) and Land Use and Ecosystem Services (7 papers). Tim Whiteside collaborates with scholars based in Australia, Netherlands and Belgium. Tim Whiteside's co-authors include Guy Boggs, Stefan Maier, Renée E. Bartolo, Shaun R. Levick, Hans Verbeeck, Kim Calders, Louise Terryn, Harm Bartholomeus, Sruthi M. Krishna Moorthy and Benjamin Brede and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Tim Whiteside

23 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Whiteside Australia 10 365 284 250 144 117 24 626
Kotaro Iizuka Japan 14 263 0.7× 321 1.1× 329 1.3× 90 0.6× 99 0.8× 27 694
Nick Clinton United States 5 484 1.3× 346 1.2× 275 1.1× 297 2.1× 114 1.0× 7 811
Camile Söthe Brazil 10 431 1.2× 394 1.4× 186 0.7× 74 0.5× 84 0.7× 23 658
Zuyuan Wang Switzerland 10 173 0.5× 182 0.6× 152 0.6× 108 0.8× 90 0.8× 29 534
Daniel McInerney Italy 12 278 0.8× 265 0.9× 241 1.0× 47 0.3× 208 1.8× 25 677
Annett Frick Germany 11 412 1.1× 366 1.3× 252 1.0× 68 0.5× 60 0.5× 23 691
Saverio Francini Italy 17 468 1.3× 441 1.6× 420 1.7× 72 0.5× 203 1.7× 53 805
Jason McVay United States 8 336 0.9× 340 1.2× 244 1.0× 66 0.5× 77 0.7× 8 687
Mathias Schardt Austria 17 416 1.1× 555 2.0× 319 1.3× 94 0.7× 242 2.1× 53 903
Ryan Anderson United States 9 300 0.8× 302 1.1× 295 1.2× 46 0.3× 169 1.4× 9 669

Countries citing papers authored by Tim Whiteside

Since Specialization
Citations

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

Fields of papers citing papers by Tim Whiteside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Whiteside

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Whiteside. A scholar is included among the top collaborators of Tim Whiteside 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 Tim Whiteside. Tim Whiteside 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.
Gautam, Deepak, et al.. (2025). Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model. Remote Sensing. 17(1). 120–120. 8 indexed citations
2.
Edwards, Andrew, et al.. (2023). The interaction between land‐use change and fire regimes, directly and indirectly, affects the urban avian assemblages of Darwin, Australia. Ecology and Evolution. 13(7). e10239–e10239. 1 indexed citations
3.
Whiteside, Tim, et al.. (2023). Deep Learning with Northern Australian Savanna Tree Species: A Novel Dataset. Data. 8(2). 44–44. 2 indexed citations
4.
Brede, Benjamin, Louise Terryn, Nicolas Barbier, et al.. (2022). Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning. Remote Sensing of Environment. 280. 113180–113180. 85 indexed citations
5.
Bartholomeus, Harm, Kim Calders, Tim Whiteside, et al.. (2022). Evaluating Data Inter-Operability of Multiple UAV–LiDAR Systems for Measuring the 3D Structure of Savanna Woodland. Remote Sensing. 14(23). 5992–5992. 6 indexed citations
6.
Calders, Kim, Harm Bartholomeus, Tim Whiteside, et al.. (2021). Characterising Termite Mounds in a Tropical Savanna with UAV Laser Scanning. Remote Sensing. 13(3). 476–476. 14 indexed citations
7.
Edwards, Andrew, et al.. (2021). The Bird Assemblage of the Darwin Region (Australia): What Is the Effect of Twenty Years of Increasing Urbanisation?. Diversity. 13(7). 294–294. 3 indexed citations
8.
Bartolo, Renée E., et al.. (2021). Hyperspectral Monitoring of Non-Native Tropical Grasses over Phenological Seasons. Remote Sensing. 13(4). 738–738. 7 indexed citations
9.
Hernández-Santín, Lorna, et al.. (2020). Reference site selection protocols for mine site ecosystem restoration. Restoration Ecology. 29(1). 9 indexed citations
10.
Whiteside, Tim, et al.. (2019). A semi-automated approach for quantitative mapping of woody cover from historical time series aerial photography and satellite imagery. Ecological Informatics. 55. 101012–101012. 15 indexed citations
11.
Harford, Andrew J., et al.. (2018). Mapping magnesium sulfate salts from saline mine discharge with airborne hyperspectral data. The Science of The Total Environment. 640-641. 1259–1271. 9 indexed citations
12.
13.
Whiteside, Tim & Renée E. Bartolo. (2015). Use of WorldView-2 time series to establish a wetland monitoring program for potential offsite impacts of mine site rehabilitation. International Journal of Applied Earth Observation and Geoinformation. 42. 24–37. 18 indexed citations
14.
Whiteside, Tim, Stefan Maier, & Guy Boggs. (2013). Area-based and location-based validation of classified image objects. International Journal of Applied Earth Observation and Geoinformation. 28. 117–130. 51 indexed citations
15.
Whiteside, Tim, Guy Boggs, & Stefan Maier. (2011). Extraction of Tree Crowns from High Resolution Imagery over Eucalypt Dominant Tropical Savannas. Photogrammetric Engineering & Remote Sensing. 77(8). 813–824. 10 indexed citations
16.
Whiteside, Tim, Guy Boggs, & Stefan Maier. (2011). Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation. 13(6). 884–893. 260 indexed citations
17.
Whiteside, Tim, Guy Boggs, & Stefan Maier. (2010). Area-based validity assessment of single- and multi-class object-based image analysis. 7 indexed citations
18.
Tidemann, Sonia C. & Tim Whiteside. (2007). Water and its Importance: Portrayals Through Australian Indigenous Stories. The International Journal of the Humanities Annual Review. 5(5). 141–150.
19.
Whiteside, Tim. (2005). A multi-scale object-oriented approach to the classification of multi-sensor imagery for mapping land cover in the Top End. CDU eSpace Institutional Repository (Charles Darwin University). 3 indexed citations
20.
Whiteside, Tim, et al.. (2004). Object-oriented classification of ASTER for land cover mapping in monsoonal northern Australia. CDU eSpace Institutional Repository (Charles Darwin University). 1 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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