Renée E. Bartolo

1.3k total citations
53 papers, 981 citations indexed

About

Renée E. Bartolo is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Renée E. Bartolo has authored 53 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 21 papers in Environmental Engineering and 17 papers in Nature and Landscape Conservation. Recurrent topics in Renée E. Bartolo's work include Remote Sensing and LiDAR Applications (19 papers), Remote Sensing in Agriculture (17 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Renée E. Bartolo is often cited by papers focused on Remote Sensing and LiDAR Applications (19 papers), Remote Sensing in Agriculture (17 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Renée E. Bartolo collaborates with scholars based in Australia, Netherlands and United States. Renée E. Bartolo's co-authors include Tim Whiteside, Peter Bayliss, Karen E. Joyce, Peter D. Erskine, Stefan Maier, Shaun R. Levick, Rick A. van Dam, Lorna Hernández-Santín, Diane Bell and Harm Bartholomeus and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Renée E. Bartolo

52 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renée E. Bartolo Australia 18 583 406 340 234 88 53 981
Piotr Wężyk Poland 17 319 0.5× 542 1.3× 356 1.0× 236 1.0× 122 1.4× 93 1.0k
Mariela Soto‐Berelov Australia 18 687 1.2× 526 1.3× 556 1.6× 298 1.3× 67 0.8× 55 1.1k
Ryan Anderson United States 9 300 0.5× 302 0.7× 295 0.9× 169 0.7× 73 0.8× 9 669
Dandan Xu China 14 397 0.7× 315 0.8× 280 0.8× 150 0.6× 48 0.5× 47 737
András Zlinszky Hungary 15 400 0.7× 302 0.7× 257 0.8× 100 0.4× 50 0.6× 37 702
Guillermo Castilla Canada 18 714 1.2× 607 1.5× 463 1.4× 254 1.1× 172 2.0× 37 1.3k
Wang Li China 14 366 0.6× 266 0.7× 366 1.1× 187 0.8× 39 0.4× 42 796
Ronghai Hu China 19 872 1.5× 666 1.6× 569 1.7× 222 0.9× 27 0.3× 53 1.3k
Kateřina Gdulová Czechia 14 352 0.6× 371 0.9× 272 0.8× 132 0.6× 30 0.3× 20 751
Anssi Pekkarinen Italy 19 806 1.4× 970 2.4× 443 1.3× 569 2.4× 233 2.6× 33 1.4k

Countries citing papers authored by Renée E. Bartolo

Since Specialization
Citations

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

Fields of papers citing papers by Renée E. Bartolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renée E. Bartolo. 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 Renée E. Bartolo. The network helps show where Renée E. Bartolo may publish in the future.

Co-authorship network of co-authors of Renée E. Bartolo

This figure shows the co-authorship network connecting the top 25 collaborators of Renée E. Bartolo. A scholar is included among the top collaborators of Renée E. Bartolo 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 Renée E. Bartolo. Renée E. Bartolo 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.
Walker, Samantha, et al.. (2024). Monitoring tropical freshwater fish with underwater videography and deep learning. Marine and Freshwater Research. 75(10). 2 indexed citations
2.
Whiteside, Tim, et al.. (2023). Deep Learning with Northern Australian Savanna Tree Species: A Novel Dataset. Data. 8(2). 44–44. 2 indexed citations
3.
Harford, Andrew J., et al.. (2022). Resolving ecosystem complexity in ecological risk assessment for mine site rehabilitation. Journal of Environmental Management. 319. 115488–115488. 4 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.
Levick, Shaun R., et al.. (2022). Developing landscape-scale forest restoration targets that embrace spatial pattern. Landscape Ecology. 37(7). 1747–1760. 12 indexed citations
6.
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
7.
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
8.
Joyce, Karen E., Karen Anderson, & Renée E. Bartolo. (2021). Of Course We Fly Unmanned—We’re Women!. Drones. 5(1). 21–21. 35 indexed citations
9.
Bartolo, Renée E., et al.. (2019). An approach to an ecosystem restoration standard for Ranger Uranium Mine. Mine closure. 1267–1280. 2 indexed citations
10.
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
11.
Bayliss, Peter, C. Max Finlayson, James Innes, et al.. (2017). An integrated risk-assessment framework for multiple threats to floodplain values in the Kakadu Region, Australia, under a changing climate. Marine and Freshwater Research. 69(7). 1159–1159. 12 indexed citations
12.
13.
Pettit, Neil E., Peter Bayliss, & Renée E. Bartolo. (2016). Dynamics of plant communities and the impact of saltwater intrusion on the floodplains of Kakadu National Park. Marine and Freshwater Research. 69(7). 1124–1133. 21 indexed citations
14.
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
15.
Joyce, Karen E., et al.. (2014). Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs. Remote Sensing. 6(7). 6064–6088. 97 indexed citations
16.
Bartolo, Renée E., et al.. (2012). Regional Ecological Risk Assessment for Australia's Tropical Rivers: Application of the Relative Risk Model. Human and Ecological Risk Assessment An International Journal. 18(1). 16–46. 38 indexed citations
17.
Dam, Rick van, Renée E. Bartolo, & Peter Bayliss. (2006). Ecological risk assessments of key threats to Australia's tropical rivers: Overview, proposed framework and methodologies for the Tropical Rivers Inventory and Assessment Project. 2 indexed citations
18.
Bartolo, Renée E., et al.. (2002). An Examination of a SAR Sensor for Quantifying Melaleuca Biomass on a Tropical Floodplain in Northern Australia. CDU eSpace Institutional Repository (Charles Darwin University). 674–683. 1 indexed citations
19.
Bartolo, Renée E. & Greg Hill. (2001). Remote sensing and GIS technologies as a decision making tool for indigenous land management. CDU eSpace Institutional Repository (Charles Darwin University). 1 indexed citations
20.
Menges, Carl H., et al.. (2001). Assessing the Extent of Saltwater Intrusion in A Tropical Coastal Environment Using Radar and Optical Remote Sensing. Geocarto International. 16(3). 45–52. 7 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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