Sam-Quarcoo Dotse

458 total citations
19 papers, 312 citations indexed

About

Sam-Quarcoo Dotse is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Sam-Quarcoo Dotse has authored 19 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 5 papers in Atmospheric Science. Recurrent topics in Sam-Quarcoo Dotse's work include Climate variability and models (8 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrology and Drought Analysis (4 papers). Sam-Quarcoo Dotse is often cited by papers focused on Climate variability and models (8 papers), Hydrology and Watershed Management Studies (6 papers) and Hydrology and Drought Analysis (4 papers). Sam-Quarcoo Dotse collaborates with scholars based in Ghana, Benin and Brunei. Sam-Quarcoo Dotse's co-authors include Liyanage C. De Silva, Isaac Larbi, Mohammad Iskandar Petra, Andrew Manoba Limantol, Clement Nyamekye, Sathyajith Mathew, Hayati Yassin, Enoch Bessah, Julien Adounkpè and Jean Hounkpè and has published in prestigious journals such as Environmental Pollution, Atmospheric Environment and Sustainability.

In The Last Decade

Sam-Quarcoo Dotse

18 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam-Quarcoo Dotse Ghana 11 162 98 84 76 72 19 312
Yingdong Yu China 11 225 1.4× 130 1.3× 79 0.9× 24 0.3× 129 1.8× 28 395
Noelia Otero Germany 10 161 1.0× 93 0.9× 230 2.7× 161 2.1× 26 0.4× 18 390
Hao Yin China 12 181 1.1× 105 1.1× 138 1.6× 34 0.4× 34 0.5× 25 370
Chenguang Tian China 14 295 1.8× 86 0.9× 231 2.8× 97 1.3× 18 0.3× 41 527
Justin Sentian Malaysia 11 94 0.6× 123 1.3× 97 1.2× 151 2.0× 25 0.3× 50 357
Andrew Blohm United States 6 134 0.8× 63 0.6× 25 0.3× 42 0.6× 27 0.4× 9 291
Kok Chooi Tan Malaysia 9 226 1.4× 182 1.9× 170 2.0× 83 1.1× 23 0.3× 33 415
Nasrin Salehnia Iran 14 287 1.8× 79 0.8× 88 1.0× 16 0.2× 71 1.0× 24 536
Qilong Miao China 9 91 0.6× 50 0.5× 88 1.0× 243 3.2× 26 0.4× 33 459

Countries citing papers authored by Sam-Quarcoo Dotse

Since Specialization
Citations

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

Fields of papers citing papers by Sam-Quarcoo Dotse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam-Quarcoo Dotse. 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 Sam-Quarcoo Dotse. The network helps show where Sam-Quarcoo Dotse may publish in the future.

Co-authorship network of co-authors of Sam-Quarcoo Dotse

This figure shows the co-authorship network connecting the top 25 collaborators of Sam-Quarcoo Dotse. A scholar is included among the top collaborators of Sam-Quarcoo Dotse 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 Sam-Quarcoo Dotse. Sam-Quarcoo Dotse 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.
Dotse, Sam-Quarcoo, et al.. (2023). Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems. Energies. 16(2). 671–671. 24 indexed citations
2.
Dotse, Sam-Quarcoo. (2023). Deep learning–based long short-term memory recurrent neural networks for monthly rainfall forecasting in Ghana, West Africa. Theoretical and Applied Climatology. 155(4). 3033–3045. 6 indexed citations
3.
4.
Dotse, Sam-Quarcoo, Isaac Larbi, Andrew Manoba Limantol, & Liyanage C. De Silva. (2023). A review of the application of hybrid machine learning models to improve rainfall prediction. Modeling Earth Systems and Environment. 10(1). 19–44. 27 indexed citations
5.
Limantol, Andrew Manoba, Isaac Larbi, Sam-Quarcoo Dotse, et al.. (2023). An increase in temperature under the shared socioeconomic scenarios in the Volta River Basin, West Africa: implications for economic development. Journal of Water and Climate Change. 14(8). 2808–2824. 4 indexed citations
6.
Yadav, Brijesh Kumar, et al.. (2022). Rainfall and temperature changes under different climate scenarios at the watersheds surrounding the Ngorongoro Conservation Area in Tanzania. Environmental Challenges. 7. 100446–100446. 23 indexed citations
7.
Mama, Daouda, Sampson K. Agodzo, Andreas Hartmann, et al.. (2022). An investigation into the future changes in rainfall onset, cessation and length of rainy season in the Oti River Basin, West Africa. Modeling Earth Systems and Environment. 8(4). 5077–5095. 7 indexed citations
8.
Adounkpè, Julien, et al.. (2022). Urban flash flood and extreme rainfall events trend analysis in Bamako, Mali. Environmental Challenges. 6. 100449–100449. 33 indexed citations
9.
Mama, Daouda, Sampson K. Agodzo, Andreas Hartmann, et al.. (2022). Spatiotemporal variability and change in rainfall in the Oti River Basin, West Africa. Journal of Water and Climate Change. 13(3). 1151–1169. 12 indexed citations
10.
Kugbey, Nuworza, et al.. (2021). "The angel within the devil": COVID-19 silver linings. Pan African Medical Journal. 40. 251–251.
11.
Larbi, Isaac, Fabien C. C. Hountondji, Sam-Quarcoo Dotse, et al.. (2021). Local climate change projections and impact on the surface hydrology in the Vea catchment, West Africa. Hydrology research. 52(6). 1200–1215. 15 indexed citations
12.
Larbi, Isaac, et al.. (2021). Impact of climate change on groundwater recharge in the lake Manyara catchment, Tanzania. Scientific African. 15. e01072–e01072. 10 indexed citations
13.
Larbi, Isaac, Clement Nyamekye, Sam-Quarcoo Dotse, et al.. (2021). Rainfall and temperature projections and the implications on streamflow and evapotranspiration in the near future at the Tano River Basin of Ghana. Scientific African. 15. e01071–e01071. 15 indexed citations
14.
Larbi, Isaac, et al.. (2021). Local climate change signals and changes in climate extremes in a typical Sahel catchment: The case of Dano catchment, Burkina Faso. Environmental Challenges. 5. 100285–100285. 20 indexed citations
15.
Dotse, Sam-Quarcoo, et al.. (2017). Application of computational intelligence techniques to forecast daily PM 10 exceedances in Brunei Darussalam. Atmospheric Pollution Research. 9(2). 358–368. 33 indexed citations
16.
Dotse, Sam-Quarcoo, et al.. (2016). Influence of Southeast Asian Haze episodes on high PM10 concentrations across Brunei Darussalam. Environmental Pollution. 219. 337–352. 42 indexed citations
17.
Dotse, Sam-Quarcoo, et al.. (2016). Evaluation of national emissions inventories of anthropogenic air pollutants for Brunei Darussalam. Atmospheric Environment. 133. 81–92. 19 indexed citations
18.
Dotse, Sam-Quarcoo, et al.. (2012). Preliminary Studies on Bioconcentration of Heavy Metals in Nile Tilapia from Tono Irrigation Facility. Research Journal of Applied Sciences Engineering and Technology. 4(23). 5040–5047. 7 indexed citations
19.
Dotse, Sam-Quarcoo, et al.. (2012). Particulate Matter and Black Carbon Concentration Levels in Ashaiman, a Semi-Urban Area of Ghana, 2008. 10 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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