Sabelo Madonsela
- Ecological Modeling top 5%
- Species Distribution and Climate Change 3
- Ecology top 5%
- Remote Sensing in Agriculture 12
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 4
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services 3
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- Ecology and Vegetation Dynamics Studies 2
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- Remote-Sensing Image Classification 2
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- Water Quality Monitoring Technologies 2
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- Smart Agriculture and AI 2
- Co-authors
- Abel RamoeloMoses Azong ChoOnisimo MutangaRenaud MathieuŻaneta KasztaRuben Van De KerchoveÉléonore WolffLaven Naidoo
- Journals
- International Journal of Remote Sensing (1 paper)Remote Sensing (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- South AfricaBelgiumNew Zealand
In The Last Decade
Sabelo Madonsela
14 papers receiving 507 citations
Peers
Comparison fields: 5 of 55
- Ecological Modeling 121
- Ecology 431
- Environmental Engineering 204
- Global and Planetary Change 187
- Nature and Landscape Conservation 71
Countries citing papers authored by Sabelo Madonsela
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
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
The 18 scholars most cited alongside Sabelo Madonsela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 56 | |
| 11 | 2017 | 81 | |
| 12 | 2017 | 87 | |
| 13 | 2016 | 48 | |
| 14 | 2014 | 5 | |
| 15 | 2014 | 163 |
About Sabelo Madonsela
Sabelo Madonsela is a scholar working on Ecological Modeling, Ecology and Environmental Engineering, having authored 15 papers that have together received 512 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (4 papers), Species Distribution and Climate Change (3 papers), Land Use and Ecosystem Services (3 papers), Remote-Sensing Image Classification (2 papers), Water Quality Monitoring Technologies (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Ecological Modeling (121 citations), Ecology (431 citations) and Environmental Engineering (204 citations). Sabelo Madonsela has collaborated with scholars based in South Africa, Belgium and New Zealand. Frequent 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 Jean‐Marc Mwenge Kahinda. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.
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.