Michael Gebreslasie

1.1k total citations
58 papers, 744 citations indexed

About

Michael Gebreslasie is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Michael Gebreslasie has authored 58 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 21 papers in Environmental Engineering and 18 papers in Global and Planetary Change. Recurrent topics in Michael Gebreslasie's work include Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (14 papers) and Forest ecology and management (14 papers). Michael Gebreslasie is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (14 papers) and Forest ecology and management (14 papers). Michael Gebreslasie collaborates with scholars based in South Africa, United States and Germany. Michael Gebreslasie's co-authors include Fethi Ahmed, Samson Mukaratirwa, Thandi Kapwata, J. A. N. van Aardt, Tawanda Manyangadze, Moses John Chimbari, Sifiso Xulu, Caradee Y. Wright, Kabir Peerbhay and Martine Baelmans and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and International Journal of Environmental Research and Public Health.

In The Last Decade

Michael Gebreslasie

54 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gebreslasie South Africa 18 224 211 165 156 101 58 744
Mhosisi Masocha Zimbabwe 19 349 1.6× 154 0.7× 324 2.0× 115 0.7× 125 1.2× 79 982
John H. Lowry Fiji 17 169 0.8× 125 0.6× 311 1.9× 91 0.6× 47 0.5× 45 1.0k
Yi Hu China 18 190 0.8× 117 0.6× 314 1.9× 146 0.9× 28 0.3× 62 1.3k
Haakon Bakka Saudi Arabia 11 175 0.8× 122 0.6× 220 1.3× 50 0.3× 76 0.8× 23 822
Elias Teixeira Krainski Brazil 14 168 0.8× 129 0.6× 204 1.2× 69 0.4× 122 1.2× 38 938
Antônio Conceição Paranhos Filho Brazil 15 175 0.8× 65 0.3× 171 1.0× 266 1.7× 89 0.9× 136 760
Cécile Vignolles France 15 264 1.2× 173 0.8× 367 2.2× 422 2.7× 18 0.2× 33 1.1k
Xiaoxu Wu China 13 113 0.5× 91 0.4× 294 1.8× 204 1.3× 19 0.2× 28 1.1k
Ashley Holt United States 5 224 1.0× 117 0.6× 113 0.7× 47 0.3× 22 0.2× 7 536
Chris Thomas United Kingdom 26 679 3.0× 61 0.3× 206 1.2× 522 3.3× 354 3.5× 38 1.7k

Countries citing papers authored by Michael Gebreslasie

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gebreslasie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gebreslasie

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gebreslasie. A scholar is included among the top collaborators of Michael Gebreslasie 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 Michael Gebreslasie. Michael Gebreslasie 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.
2.
Dickinson, Natalie, Llinos Haf Spencer, Serestina Viriri, et al.. (2025). A systematic review investigating emerging trends between Extreme Weather Events (EWEs) and infectious disease outbreaks in South Africa. medRxiv. 1 indexed citations
3.
4.
Xulu, Sifiso, et al.. (2024). Exploring environmental factors that influence the distribution of poplar trees. African Journal of Ecology. 62(3).
5.
Gebreslasie, Michael, et al.. (2024). Evaluating Machine-Learning Algorithms for Mapping LULC of the uMngeni Catchment Area, KwaZulu-Natal. Remote Sensing. 16(12). 2219–2219. 4 indexed citations
6.
Xulu, Sifiso, et al.. (2024). Modelling possible habitats for poplar invasion in South Africa. Koedoe. 66(1). 1 indexed citations
7.
Kapwata, Thandi, Nada Abdelatif, Noah Scovronick, et al.. (2023). Identifying heat thresholds for South Africa towards the development of a heat-health warning system. International Journal of Biometeorology. 68(2). 381–392. 5 indexed citations
8.
Xulu, Sifiso, et al.. (2023). Remote Sensing Applications in Monitoring Poplars: A Review. Forests. 14(12). 2301–2301. 4 indexed citations
9.
Gebreslasie, Michael, et al.. (2022). Socio-economic status as predictors of malaria transmission in KwaZulu-Natal, South Africa. A retrospective study. African Health Sciences. 22(2). 204–215. 4 indexed citations
10.
Gebreslasie, Michael, et al.. (2021). Two Decades Progress on the Application of Remote Sensing for Monitoring Tropical and Sub-Tropical Natural Forests: A Review. Forests. 12(6). 739–739. 17 indexed citations
11.
Gebreslasie, Michael, et al.. (2021). Multi-Decadal Spatial and Temporal Forest Cover Change Analysis of Nkandla Natural Reserve, South Africa. Journal of Sustainable Forestry. 41(10). 959–982. 3 indexed citations
12.
Gebreslasie, Michael, et al.. (2020). Mapping natural forest cover using satellite imagery of Nkandla forest reserve, KwaZulu-Natal, South Africa. Remote Sensing Applications Society and Environment. 18. 100302–100302. 22 indexed citations
13.
Xulu, Sifiso, Nkanyiso Mbatha, Kabir Peerbhay, & Michael Gebreslasie. (2020). Detecting Harvest Events in Plantation Forest Using Sentinel-1 and -2 Data via Google Earth Engine. Forests. 11(12). 1283–1283. 10 indexed citations
14.
Gebreslasie, Michael, et al.. (2019). Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa. Journal of Land Use Science. 14(1). 81–109. 9 indexed citations
15.
Xulu, Sifiso, Kabir Peerbhay, Michael Gebreslasie, & Riyad Ismail. (2019). Unsupervised Clustering of Forest Response to Drought Stress in Zululand Region, South Africa. Forests. 10(7). 531–531. 11 indexed citations
16.
Kapwata, Thandi, Michael Gebreslasie, Angela Mathee, & Caradee Y. Wright. (2018). Current and Potential Future Seasonal Trends of Indoor Dwelling Temperature and Likely Health Risks in Rural Southern Africa. International Journal of Environmental Research and Public Health. 15(5). 952–952. 34 indexed citations
17.
Xulu, Sifiso, Michael Gebreslasie, & Kabir Peerbhay. (2018). Remote sensing of forest health and vitality: a South African perspective. Southern Forests a Journal of Forest Science. 81(2). 91–102. 10 indexed citations
18.
Xulu, Sifiso, Kabir Peerbhay, Michael Gebreslasie, & Riyad Ismail. (2018). Drought Influence on Forest Plantations in Zululand, South Africa, Using MODIS Time Series and Climate Data. Forests. 9(9). 528–528. 36 indexed citations
19.
Gebreslasie, Michael, et al.. (2016). Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa. International Journal of Environmental Research and Public Health. 13(6). 584–584. 20 indexed citations
20.

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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