James Magidi

897 total citations
26 papers, 549 citations indexed

About

James Magidi is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, James Magidi has authored 26 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 10 papers in Ecology and 5 papers in Environmental Engineering. Recurrent topics in James Magidi's work include Land Use and Ecosystem Services (14 papers), Remote Sensing in Agriculture (9 papers) and Flood Risk Assessment and Management (6 papers). James Magidi is often cited by papers focused on Land Use and Ecosystem Services (14 papers), Remote Sensing in Agriculture (9 papers) and Flood Risk Assessment and Management (6 papers). James Magidi collaborates with scholars based in South Africa, United Kingdom and Netherlands. James Magidi's co-authors include Luxon Nhamo, Tafadzwanashe Mabhaudhi, Fethi Ahmed, Mbulisi Sibanda, Sylvester Mpandeli, Alistair Clulow, Adolph Nyamugama, Vimbayi Grace Petrova Chimonyo, Stanley Liphadzi and Chris Dickens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Cities.

In The Last Decade

James Magidi

25 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Magidi South Africa 12 262 181 107 96 85 26 549
Chaoya Dang China 12 354 1.4× 204 1.1× 68 0.6× 129 1.3× 64 0.8× 30 547
Ihab Jomaa Lebanon 14 133 0.5× 85 0.5× 88 0.8× 72 0.8× 80 0.9× 27 491
Abdalhaleem A. Hassaballa Saudi Arabia 12 148 0.6× 146 0.8× 129 1.2× 165 1.7× 71 0.8× 32 468
Ghali Abdullahi Abubakar China 12 307 1.2× 154 0.9× 54 0.5× 119 1.2× 55 0.6× 18 450
Andrii Kolotii Ukraine 12 266 1.0× 320 1.8× 125 1.2× 130 1.4× 29 0.3× 29 584
Maurício Alves Moreira Brazil 8 182 0.7× 221 1.2× 156 1.5× 131 1.4× 85 1.0× 27 559
Bambang H. Trisasongko Indonesia 12 189 0.7× 213 1.2× 63 0.6× 146 1.5× 29 0.3× 67 570
Damasa B. Magcale-Macandog Philippines 15 225 0.9× 111 0.6× 43 0.4× 62 0.6× 51 0.6× 51 527
Ana Pérez-Hoyos Italy 13 384 1.5× 329 1.8× 48 0.4× 171 1.8× 79 0.9× 18 709

Countries citing papers authored by James Magidi

Since Specialization
Citations

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

Fields of papers citing papers by James Magidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Magidi

This figure shows the co-authorship network connecting the top 25 collaborators of James Magidi. A scholar is included among the top collaborators of James Magidi 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 James Magidi. James Magidi 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.
Nhamo, Luxon, et al.. (2025). Drought and flood risk mapping using a GIS-based multi-criteria decision method: A case of the Olifants Basin, South Africa. SHILAP Revista de lepidopterología. 6. 100100–100100. 2 indexed citations
2.
Sibanda, Mbulisi, et al.. (2025). Assessment of the Maize Crop Water Stress Index (CWSI) Using Drone-Acquired Data Across Different Phenological Stages. Drones. 9(3). 192–192. 1 indexed citations
3.
4.
Nhamo, Luxon, James Magidi, Sylvester Mpandeli, Stanley Liphadzi, & Tafadzwanashe Mabhaudhi. (2024). An integrated geospatial approach and the factors required to delineate irrigation suitability areas. Frontiers in Sustainable Food Systems. 8.
6.
Balz, Timo, et al.. (2024). South-to-South Cooperation in Multi-Source Satellite Data for Improving Food Security. SHILAP Revista de lepidopterología. XLVIII-1-2024. 19–24. 1 indexed citations
7.
Gumindoga, Webster, et al.. (2024). Urban flash floods modeling in Mzuzu City, Malawi based on Sentinel and MODIS data. Frontiers in Climate. 6. 3 indexed citations
8.
Sibanda, Mbulisi, Onisimo Mutanga, John Odindi, et al.. (2023). EXPLORING THE PROSPECTS OF UAV-REMOTELY SENSED DATA IN ESTIMATING PRODUCTIVITY OF MAIZE CROPS IN TYPICAL SMALLHOLDER FARMS OF SOUTHERN AFRICA. SHILAP Revista de lepidopterología. X-1/W1-2023. 1143–1150. 1 indexed citations
9.
Kowe, Pedzisai, et al.. (2023). Spatial-temporal variability analysis of water quality using remote sensing data: A case study of Lake Manyame. Scientific African. 21. e01877–e01877. 9 indexed citations
10.
Magidi, James & Fethi Ahmed. (2022). Spatio-temporal variations of land surface temperature using Landsat and MODIS: case study of the City of Tshwane, South Africa. South African Journal of Geomatics. 9(2). 379–396. 2 indexed citations
11.
Magidi, James & Fethi Ahmed. (2022). Monitoring vegetation phenology using MODIS NDVI 250m in the City of Tshwane, South Africa. South African Journal of Geomatics. 11(2). 176–189. 2 indexed citations
12.
Magidi, James, Barbara van Koppen, Luxon Nhamo, et al.. (2021). Informing Equitable Water and Food Policies through Accurate Spatial Information on Irrigated Areas in Smallholder Farming Systems. Water. 13(24). 3627–3627. 13 indexed citations
13.
Nhamo, Luxon, Sylvester Mpandeli, Joel O. Botai, et al.. (2021). Urban nexus and transformative pathways towards a resilient Gauteng City-Region, South Africa. Cities. 116. 103266–103266. 34 indexed citations
14.
Magidi, James, et al.. (2021). Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine. Remote Sensing. 13(5). 876–876. 104 indexed citations
15.
Nhamo, Luxon, James Magidi, Adolph Nyamugama, et al.. (2020). Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles. Agriculture. 10(7). 256–256. 63 indexed citations
16.
Mpandeli, Sylvester, Luxon Nhamo, Mokhele Edmond Moeletsi, et al.. (2019). Assessing climate change and adaptive capacity at local scale using observed and remotely sensed data. Weather and Climate Extremes. 26. 100240–100240. 46 indexed citations
17.
Nhamo, Luxon, Girma Yimer Ebrahim, Tafadzwanashe Mabhaudhi, et al.. (2019). An assessment of groundwater use in irrigated agriculture using multi-spectral remote sensing. Physics and Chemistry of the Earth Parts A/B/C. 115. 102810–102810. 43 indexed citations
18.
Magidi, James & Fethi Ahmed. (2018). Assessing urban sprawl using remote sensing and landscape metrics: A case study of City of Tshwane, South Africa (1984–2015). The Egyptian Journal of Remote Sensing and Space Science. 22(3). 335–346. 73 indexed citations
19.
Nhamo, Luxon, et al.. (2018). Improving the Accuracy of Remotely Sensed Irrigated Areas Using Post-Classification Enhancement Through UAV Capability. Remote Sensing. 10(5). 712–712. 32 indexed citations
20.
Cai, Ximing, Alemseged Tamiru Haile, James Magidi, Everisto Mapedza, & Luxon Nhamo. (2016). Living with floods – Household perception and satellite observations in the Barotse floodplain, Zambia. Physics and Chemistry of the Earth Parts A/B/C. 100. 278–286. 27 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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