Assefa M. Melesse

16.9k total citations · 4 hit papers
255 papers, 11.3k citations indexed

About

Assefa M. Melesse is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Assefa M. Melesse has authored 255 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Water Science and Technology, 147 papers in Global and Planetary Change and 75 papers in Environmental Engineering. Recurrent topics in Assefa M. Melesse's work include Hydrology and Watershed Management Studies (129 papers), Flood Risk Assessment and Management (87 papers) and Soil erosion and sediment transport (57 papers). Assefa M. Melesse is often cited by papers focused on Hydrology and Watershed Management Studies (129 papers), Flood Risk Assessment and Management (87 papers) and Soil erosion and sediment transport (57 papers). Assefa M. Melesse collaborates with scholars based in United States, Ethiopia and Iran. Assefa M. Melesse's co-authors include Mohammad Haji Gholizadeh, Lakshmi N. Reddi, Shimelis Gebriye Setegn, Omid Rahmati, Wossenu Abtew, Michael E. McClain, Bijan Dargahi, Raghavan Srinivasan, Hamid Reza Pourghasemi and Tena Alamirew and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Assefa M. Melesse

243 papers receiving 11.0k citations

Hit Papers

A Comprehensive Review on... 2015 2026 2018 2022 2016 2015 2020 2025 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Assefa M. Melesse 6.2k 5.7k 3.6k 2.1k 2.0k 255 11.3k
Andrew W. Western 7.1k 1.1× 5.4k 1.0× 5.6k 1.6× 1.9k 0.9× 1.4k 0.7× 224 12.3k
P. A. Troch 6.0k 1.0× 5.6k 1.0× 2.8k 0.8× 1.1k 0.5× 1.4k 0.7× 175 9.7k
Jim Freer 11.2k 1.8× 8.6k 1.5× 4.8k 1.3× 1.7k 0.8× 2.0k 1.0× 187 16.0k
Ann van Griensven 7.2k 1.2× 4.7k 0.8× 2.7k 0.7× 1.8k 0.9× 1.0k 0.5× 204 9.5k
Xi Chen 4.3k 0.7× 4.4k 0.8× 2.2k 0.6× 1.0k 0.5× 1.2k 0.6× 374 9.2k
Rodger B. Grayson 5.3k 0.9× 3.8k 0.7× 5.0k 1.4× 2.8k 1.3× 2.0k 1.0× 104 10.9k
Qi Feng 2.9k 0.5× 4.2k 0.7× 2.5k 0.7× 1.4k 0.7× 1.6k 0.8× 406 9.7k
Nick van de Giesen 3.5k 0.6× 3.9k 0.7× 3.4k 0.9× 1.1k 0.5× 1.2k 0.6× 304 10.2k
Ronald L. Bingner 9.0k 1.5× 5.7k 1.0× 3.4k 0.9× 3.3k 1.6× 1.9k 1.0× 85 12.1k
Changming Liu 6.8k 1.1× 8.1k 1.4× 2.7k 0.7× 2.1k 1.0× 1.2k 0.6× 320 13.6k

Countries citing papers authored by Assefa M. Melesse

Since Specialization
Citations

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

Fields of papers citing papers by Assefa M. Melesse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Assefa M. Melesse. 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 Assefa M. Melesse. The network helps show where Assefa M. Melesse may publish in the future.

Co-authorship network of co-authors of Assefa M. Melesse

This figure shows the co-authorship network connecting the top 25 collaborators of Assefa M. Melesse. A scholar is included among the top collaborators of Assefa M. Melesse 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 Assefa M. Melesse. Assefa M. Melesse 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
2.
Melesse, Assefa M., et al.. (2025). Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications.. Journal of Hydrology Regional Studies. 57. 102150–102150. 3 indexed citations
4.
6.
Melesse, Assefa M., et al.. (2024). Drought Dynamics in the Nile River Basin: Meteorological, Agricultural, and Groundwater Drought Propagation. Remote Sensing. 16(5). 919–919. 15 indexed citations
8.
Melesse, Assefa M., et al.. (2023). Prediction of Future Land Use/Land Cover Changes Using a Coupled CA-ANN Model in the Upper Omo–Gibe River Basin, Ethiopia. Remote Sensing. 15(4). 1148–1148. 66 indexed citations
9.
Hagos, Yonas Gebresilasie, Tesfa Gebrie Andualem, Mesenbet Yibeltal, et al.. (2022). Assessment of Agricultural Land Suitability for Surface Irrigation Using Geospatial Techniques in the Lower Omo Gibe Basin, Ethiopia. Water. 14(23). 3887–3887. 2 indexed citations
10.
Ayele, Gebiaw T., Habitamu Taddese, Christopher E. Ndehedehe, et al.. (2022). Relationship of Attributes of Soil and Topography with Land Cover Change in the Rift Valley Basin of Ethiopia. Remote Sensing. 14(14). 3257–3257. 10 indexed citations
11.
Alamirew, Tena, et al.. (2021). Modeling the impacts of land use and land cover dynamics on hydrological processes of the Keleta watershed, Ethiopia. Sustainable Environment. 7(1). 25 indexed citations
12.
Mosavi, Amirhosein, Mohammad Golshan, Saeid Janizadeh, et al.. (2020). Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins. Geocarto International. 37(9). 2541–2560. 104 indexed citations
13.
Band, Shahab S., Saeid Janizadeh, Subodh Chandra Pal, et al.. (2020). Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration. Sensors. 20(20). 5763–5763. 71 indexed citations
14.
Band, Shahab S., Saeid Janizadeh, Subodh Chandra Pal, et al.. (2020). Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms. Remote Sensing. 12(21). 3568–3568. 182 indexed citations
15.
Shahabi, Himan, Ataollah Shirzadi, Kayvan Ghaderi, et al.. (2020). Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier. Remote Sensing. 12(2). 266–266. 280 indexed citations breakdown →
16.
Lee, Saro, Mahdi Panahi, Hamid Reza Pourghasemi, et al.. (2019). SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment. Applied Sciences. 9(17). 3495–3495. 58 indexed citations
17.
Nohani, Ebrahim, Meysam Moharrami, Khabat Khosravi, et al.. (2019). Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models. Water. 11(7). 1402–1402. 186 indexed citations
18.
Melesse, Assefa M., et al.. (2018). Soil Erosion Modelling and Risk Assessment in Data Scarce Rift Valley Lake Regions, Ethiopia. Water. 10(11). 1684–1684. 52 indexed citations
19.
Setegn, Shimelis Gebriye, et al.. (2014). Application of the Soil and Water Assessment Tool (SWAT Model) on a small tropical island (Great River Watershed, Jamaica) as a tool in Integrated Watershed and Coastal Zone Management. SHILAP Revista de lepidopterología. 8 indexed citations
20.
Yesuf, Hassen M., Tena Alamirew, Assefa M. Melesse, & Mohammed Assen. (2013). Bathymetric study of Lake Hayq, Ethiopia. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 18(2). 155–165. 29 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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