Sabelo Madonsela

680 total citations
15 papers, 512 citations indexed

About

Sabelo Madonsela is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Sabelo Madonsela has authored 15 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 6 papers in Environmental Engineering and 4 papers in Plant Science. Recurrent topics in Sabelo Madonsela's work include Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (4 papers) and Species Distribution and Climate Change (3 papers). Sabelo Madonsela is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (4 papers) and Species Distribution and Climate Change (3 papers). Sabelo Madonsela collaborates with scholars based in South Africa, Belgium and New Zealand. Sabelo Madonsela's co-authors include Abel Ramoelo, Moses Azong Cho, Onisimo Mutanga, Renaud Mathieu, Żaneta Kaszta, Ruben Van De Kerchove, Éléonore Wolff, Moses Azong Cho, Laven Naidoo and Nobuhle Majozi and has published in prestigious journals such as International Journal of Remote Sensing, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Sabelo Madonsela

14 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabelo Madonsela South Africa 8 431 204 187 121 71 15 512
Marion Pause Germany 12 305 0.7× 161 0.8× 218 1.2× 103 0.9× 81 1.1× 23 496
Maïlys Lopes France 9 417 1.0× 299 1.5× 236 1.3× 117 1.0× 83 1.2× 10 588
Adam Kania Austria 11 274 0.6× 163 0.8× 105 0.6× 116 1.0× 65 0.9× 17 373
M. Deshayes France 11 326 0.8× 152 0.7× 173 0.9× 92 0.8× 47 0.7× 24 468
Pekka Hurskainen Finland 9 244 0.6× 179 0.9× 169 0.9× 67 0.6× 59 0.8× 14 453
Nilam Kayastha United States 6 372 0.9× 236 1.2× 306 1.6× 61 0.5× 69 1.0× 7 509
Dominik Kopeć Poland 15 302 0.7× 114 0.6× 142 0.8× 82 0.7× 109 1.5× 41 513
Veronique V. Cheret France 10 300 0.7× 123 0.6× 265 1.4× 54 0.4× 56 0.8× 19 448
Fábio Marcelo Breunig Brazil 13 579 1.3× 333 1.6× 316 1.7× 59 0.5× 78 1.1× 62 747
Sergio Marconi United States 10 408 0.9× 407 2.0× 338 1.8× 117 1.0× 136 1.9× 20 789

Countries citing papers authored by Sabelo Madonsela

Since Specialization
Citations

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

Fields of papers citing papers by Sabelo Madonsela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabelo Madonsela

This figure shows the co-authorship network connecting the top 25 collaborators of Sabelo Madonsela. A scholar is included among the top collaborators of Sabelo Madonsela 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 Sabelo Madonsela. Sabelo Madonsela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Madonsela, Sabelo, et al.. (2025). Trends in remote sensing of water quality parameters in inland water bodies: a systematic review. Frontiers in Environmental Science. 13. 5 indexed citations
2.
3.
Madonsela, Sabelo, et al.. (2024). Mapping weed infestation in maize fields using Sentinel-2 data. Physics and Chemistry of the Earth Parts A/B/C. 134. 103571–103571. 4 indexed citations
4.
Naidoo, Laven, Russell Main, Moses Azong Cho, Sabelo Madonsela, & Nobuhle Majozi. (2022). Machine learning modelling of crop structure within the Maize Triangle of South Africa. International Journal of Remote Sensing. 43(1). 27–51. 5 indexed citations
5.
Madonsela, Sabelo, Moses Azong Cho, Abel Ramoelo, & Onisimo Mutanga. (2021). Investigating the Relationship between Tree Species Diversity and Landsat-8 Spectral Heterogeneity across Multiple Phenological Stages. Remote Sensing. 13(13). 2467–2467. 22 indexed citations
6.
Naidoo, Laven, Russell Main, Moses Azong Cho, Sabelo Madonsela, & Nobuhle Majozi. (2021). Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets. 1594–1596. 2 indexed citations
7.
Madonsela, Sabelo, Moses Azong Cho, Laven Naidoo, Russell Main, & Nobuhle Majozi. (2021). Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages. Journal of Spatial Science. 68(2). 339–351. 12 indexed citations
8.
Ramoelo, Abel, et al.. (2020). Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa. Physics and Chemistry of the Earth Parts A/B/C. 124. 102931–102931. 16 indexed citations
9.
Hughes, Denis, et al.. (2018). The delineation of alluvial aquifers towards a better understanding of channel transmission losses in the Limpopo River Basin. Physics and Chemistry of the Earth Parts A/B/C. 108. 60–73. 6 indexed citations
10.
Madonsela, Sabelo, Moses Azong Cho, Abel Ramoelo, & Onisimo Mutanga. (2017). Remote sensing of species diversity using Landsat 8 spectral variables. ISPRS Journal of Photogrammetry and Remote Sensing. 133. 116–127. 87 indexed citations
11.
Madonsela, Sabelo, Moses Azong Cho, Abel Ramoelo, Onisimo Mutanga, & Laven Naidoo. (2017). Estimating tree species diversity in the savannah using NDVI and woody canopy cover. International Journal of Applied Earth Observation and Geoinformation. 66. 106–115. 56 indexed citations
12.
Madonsela, Sabelo, Moses Azong Cho, Renaud Mathieu, et al.. (2017). Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species. International Journal of Applied Earth Observation and Geoinformation. 58. 65–73. 81 indexed citations
13.
Kaszta, Żaneta, Ruben Van De Kerchove, Abel Ramoelo, et al.. (2016). Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms. Remote Sensing. 8(9). 763–763. 48 indexed citations
14.
Ramoelo, Abel, Moses Azong Cho, Sabelo Madonsela, et al.. (2014). A potential to monitor nutrients as an indicator of rangeland quality using space borne remote sensing. IOP Conference Series Earth and Environmental Science. 18. 12094–12094. 5 indexed citations
15.
Ramoelo, Abel, Moses Azong Cho, Renaud Mathieu, et al.. (2014). Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data. International Journal of Applied Earth Observation and Geoinformation. 43. 43–54. 163 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