Zama Eric Mashimbye

424 total citations
14 papers, 310 citations indexed

About

Zama Eric Mashimbye is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Zama Eric Mashimbye has authored 14 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Ecology and 5 papers in Environmental Engineering. Recurrent topics in Zama Eric Mashimbye's work include Remote Sensing in Agriculture (7 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Zama Eric Mashimbye is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Zama Eric Mashimbye collaborates with scholars based in South Africa, Zimbabwe and United States. Zama Eric Mashimbye's co-authors include Adriaan van Niekerk, Willem de Clercq, David P. Turner, Moses Azong Cho, Bingfang Wu, Shuai Wang, Walter Musakwa, Hongwei Zeng, Nitesh Poona and Fuyou Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geoderma and Remote Sensing.

In The Last Decade

Zama Eric Mashimbye

12 papers receiving 304 citations

Peers

Zama Eric Mashimbye
Yizhi Huang United States
Yusuf Kurucu Türkiye
Bart Deronde Belgium
A. El-Battay Bahrain
Zama Eric Mashimbye
Citations per year, relative to Zama Eric Mashimbye Zama Eric Mashimbye (= 1×) peers Yiping Peng

Countries citing papers authored by Zama Eric Mashimbye

Since Specialization
Citations

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

Fields of papers citing papers by Zama Eric Mashimbye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zama Eric Mashimbye. 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 Zama Eric Mashimbye. The network helps show where Zama Eric Mashimbye may publish in the future.

Co-authorship network of co-authors of Zama Eric Mashimbye

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

All Works

14 of 14 papers shown
1.
2.
Mashimbye, Zama Eric, et al.. (2025). Integrating socio-economic zones into water resource analysis under land use change and climate variability in the Okavango basin. SHILAP Revista de lepidopterología. 7. 338–352.
4.
Mashimbye, Zama Eric, et al.. (2023). Predicting priority management areas for land use/cover change in the transboundary Okavango basin based on machine learning. Heliyon. 9(12). e22762–e22762. 1 indexed citations
5.
Mashimbye, Zama Eric, et al.. (2023). A Scoping Review of Landform Classification Using Geospatial Methods. SHILAP Revista de lepidopterología. 3(1). 93–114. 9 indexed citations
6.
Mashimbye, Zama Eric, et al.. (2022). Detecting Connectivity and Spread Pathways of Land Use/Cover Change in a Transboundary Basin Based on the Circuit Theory. SHILAP Revista de lepidopterología. 2(4). 518–539. 5 indexed citations
7.
Mashimbye, Zama Eric, et al.. (2022). Characterising social-ecological drivers of landuse/cover change in a complex transboundary basin using singular or ensemble machine learning. Remote Sensing Applications Society and Environment. 27. 100773–100773. 8 indexed citations
9.
Musakwa, Walter, Shuai Wang, Fangli Wei, et al.. (2020). Survey of Community Livelihoods and Landscape Change along the Nzhelele and Levuvhu River Catchments in Limpopo Province, South Africa. Land. 9(3). 91–91. 13 indexed citations
10.
Niekerk, Adriaan van, et al.. (2020). Pre-harvest classification of crop types using a Sentinel-2 time-series and machine learning. Computers and Electronics in Agriculture. 169. 105164–105164. 88 indexed citations
11.
Zeng, Hongwei, Bingfang Wu, Shuai Wang, et al.. (2020). A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa. Chinese Geographical Science. 30(3). 397–409. 34 indexed citations
12.
Mashimbye, Zama Eric, et al.. (2019). Assessing the influence of DEM source on derived streamline and catchment boundary accuracy. Water SA. 45(4 October). 3 indexed citations
13.
Mashimbye, Zama Eric, et al.. (2013). An evaluation of digital elevation models (DEMs) for delineating land components. Geoderma. 213. 312–319. 47 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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