Benjamin Ghansah

572 total citations
19 papers, 317 citations indexed

About

Benjamin Ghansah is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Benjamin Ghansah has authored 19 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 8 papers in Global and Planetary Change and 4 papers in Ecology. Recurrent topics in Benjamin Ghansah's work include Flood Risk Assessment and Management (5 papers), Groundwater and Watershed Analysis (5 papers) and Remote Sensing in Agriculture (3 papers). Benjamin Ghansah is often cited by papers focused on Flood Risk Assessment and Management (5 papers), Groundwater and Watershed Analysis (5 papers) and Remote Sensing in Agriculture (3 papers). Benjamin Ghansah collaborates with scholars based in Ghana, United States and Sri Lanka. Benjamin Ghansah's co-authors include Clement Nyamekye, Samuel Kwofie, Davie M. Kadyampakeni, Marloes Mul, Richard Grant, Eric Kwabena Forkuo, Naga Manohar Velpuri, Komlavi Akpoti, Mansoor Leh and Roshan Adhikari and has published in prestigious journals such as Computers and Electronics in Agriculture, Land Use Policy and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Benjamin Ghansah

16 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Ghansah Ghana 10 139 67 46 45 40 19 317
Fatih Gülgen Türkiye 11 112 0.8× 74 1.1× 45 1.0× 25 0.6× 46 1.1× 33 297
Hengliang Guo China 13 127 0.9× 129 1.9× 92 2.0× 58 1.3× 31 0.8× 48 401
Shashi Mesapam India 10 115 0.8× 70 1.0× 76 1.7× 41 0.9× 36 0.9× 36 279
Michael P. Finn United States 8 71 0.5× 92 1.4× 47 1.0× 42 0.9× 47 1.2× 36 358
Babak Ranjgar Iran 10 160 1.2× 119 1.8× 59 1.3× 53 1.2× 65 1.6× 19 389
Wenfu Yang China 12 103 0.7× 49 0.7× 62 1.3× 34 0.8× 17 0.4× 31 373
Tong Nie China 12 144 1.0× 39 0.6× 104 2.3× 48 1.1× 36 0.9× 28 374
Nur Atirah Muhadi Malaysia 7 134 1.0× 89 1.3× 68 1.5× 47 1.0× 74 1.9× 12 320
Sunil Kumar Katiyar India 8 58 0.4× 97 1.4× 33 0.7× 34 0.8× 45 1.1× 24 265
Yuanrong He China 12 229 1.6× 101 1.5× 37 0.8× 74 1.6× 29 0.7× 48 430

Countries citing papers authored by Benjamin Ghansah

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Ghansah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ghansah

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

All Works

19 of 19 papers shown
1.
Ghansah, Benjamin, et al.. (2025). Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation. Computers and Electronics in Agriculture. 234. 110280–110280.
2.
Zhao, Lei, Benjamin Ghansah, Jorge A. da Silva, et al.. (2025). Use of Uncrewed Aerial System (UAS)-Based Crop Features to Perform Growth Analysis of Energy Cane Genotypes. Plants. 14(5). 654–654. 1 indexed citations
3.
Nyamekye, Clement, et al.. (2024). Comparing Supervised and Semi-supervised Machine Learning Methods for Mapping Aquatic Weeds, as Biomass Resource from High-Resolution UAV Images. Remote Sensing in Earth Systems Sciences. 7(3). 206–217. 1 indexed citations
4.
Ghansah, Benjamin, Mahendra Bhandari, Michael J. Starek, et al.. (2024). Utilizing UAS-Lidar for High Throughput Phenotyping of Energy Cane. 6251–6254.
5.
Velpuri, Naga Manohar, et al.. (2023). Accuracy of satellite and reanalysis rainfall estimates over Africa: A multi-scale assessment of eight products for continental applications. Journal of Hydrology Regional Studies. 49. 101514–101514. 38 indexed citations
6.
Kagone, Stefanie, Mansoor Leh, Naga Manohar Velpuri, et al.. (2023). A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation. 126. 103607–103607. 4 indexed citations
7.
Nyamekye, Clement, et al.. (2021). Examining the performances of true color RGB bands from Landsat-8, Sentinel-2 and UAV as stand-alone data for mapping artisanal and Small-Scale Mining (ASM). Remote Sensing Applications Society and Environment. 24. 100655–100655. 9 indexed citations
11.
Ghansah, Benjamin, et al.. (2021). An exploratory model to characterize the vulnerability of coastal buildings to storm surge flooding in Miami-Dade County, Florida. Applied Geography. 128. 102413–102413. 19 indexed citations
12.
Ghansah, Benjamin, Timothy Foster, Thomas Higginbottom, Roshan Adhikari, & Sander J. Zwart. (2021). Monitoring spatial-temporal variations of surface areas of small reservoirs in Ghana's Upper East Region using Sentinel-2 satellite imagery and machine learning. Physics and Chemistry of the Earth Parts A/B/C. 125. 103082–103082. 15 indexed citations
13.
Nyamekye, Clement, et al.. (2020). Assessing urban growth in Ghana using machine learning and intensity analysis: A case study of the New Juaben Municipality. Land Use Policy. 99. 105057–105057. 34 indexed citations
14.
Ghansah, Benjamin, et al.. (2019). Integrated Pest Management of Rhynchophorus phoenicis in Okomu Oil Palm Plantation, Uhiere, Nigeria. Journal of Applied Sciences. 19(2). 115–120. 1 indexed citations
15.
Ghansah, Benjamin, et al.. (2018). Mapping the spatial distribution of small reservoirs in the White Volta Sub-basin of Ghana. Remote Sensing Applications Society and Environment. 9. 107–115. 15 indexed citations
16.
Mul, Marloes, et al.. (2017). Assessing land suitability for aquifer storage and recharge in northern Ghana using remote sensing and GIS multi-criteria decision analysis technique. Modeling Earth Systems and Environment. 3(4). 1383–1393. 47 indexed citations
17.
Ghansah, Benjamin, et al.. (2017). Taxonomy and a Theoretical Model for Feedforward Neural Networks. International Journal of Computer Applications. 163(4). 39–49. 4 indexed citations
18.
Ghansah, Benjamin, et al.. (2016). A Review of Deep Machine Learning. International journal of engineering research in Africa. 24. 124–136. 66 indexed citations
19.
Ghansah, Benjamin, et al.. (2016). Mapping the spatial changes in Lake Volta using multitemporal remote sensing approach. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 21(3). 206–215. 8 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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