Samson Bada

1.5k total citations
89 papers, 1.1k citations indexed

About

Samson Bada is a scholar working on Mechanical Engineering, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Samson Bada has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mechanical Engineering, 36 papers in Biomedical Engineering and 16 papers in Water Science and Technology. Recurrent topics in Samson Bada's work include Thermochemical Biomass Conversion Processes (22 papers), Mineral Processing and Grinding (18 papers) and Coal and Its By-products (14 papers). Samson Bada is often cited by papers focused on Thermochemical Biomass Conversion Processes (22 papers), Mineral Processing and Grinding (18 papers) and Coal and Its By-products (14 papers). Samson Bada collaborates with scholars based in South Africa, Nigeria and Namibia. Samson Bada's co-authors include Moshood Onifade, Rosemary Falcon, Orevaoghene Eterigho-Ikelegbe, Jibril Abdulsalam, Bekir Genc, Jean Mulopo, Abiodun Ismail Lawal, Bilainu Oboirien, Adeyemi Emman Aladejare and Musa Adebayo Idris and has published in prestigious journals such as Scientific Reports, Journal of Ecology and Construction and Building Materials.

In The Last Decade

Samson Bada

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samson Bada South Africa 20 380 346 212 183 156 89 1.1k
Honghi Tran Canada 20 387 1.0× 880 2.5× 200 0.9× 256 1.4× 294 1.9× 116 2.3k
Shuanghui Deng China 24 347 0.9× 895 2.6× 88 0.4× 294 1.6× 88 0.6× 57 1.6k
Eduardo Osório Brazil 20 492 1.3× 679 2.0× 135 0.6× 156 0.9× 43 0.3× 61 1.1k
Ihsan Hamawand Australia 21 192 0.5× 507 1.5× 154 0.7× 103 0.6× 328 2.1× 43 1.4k
Fan Zhou China 22 394 1.0× 436 1.3× 173 0.8× 121 0.7× 23 0.1× 44 1.0k
Antonio Gutiérrez Lavín Spain 15 183 0.5× 1.1k 3.2× 81 0.4× 135 0.7× 86 0.6× 26 1.6k
Aysel T. Atimtay Türkiye 23 406 1.1× 1.1k 3.0× 116 0.5× 247 1.3× 51 0.3× 43 1.5k
Zhaoxia Liu China 16 154 0.4× 199 0.6× 181 0.9× 41 0.2× 66 0.4× 46 1.1k
Hao Dong China 18 186 0.5× 168 0.5× 243 1.1× 36 0.2× 83 0.5× 65 992

Countries citing papers authored by Samson Bada

Since Specialization
Citations

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

Fields of papers citing papers by Samson Bada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samson Bada

This figure shows the co-authorship network connecting the top 25 collaborators of Samson Bada. A scholar is included among the top collaborators of Samson Bada 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 Samson Bada. Samson Bada 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.
Abdulkareem, A. S., et al.. (2025). Nano-coolants for thermal enhancement in heat exchangers: A review of prospects, challenges and applications. Next Nanotechnology. 8. 100214–100214. 1 indexed citations
3.
Zhou, Jian, Manoj Khandelwal, Moshood Onifade, et al.. (2025). An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis. Fuel. 403. 136065–136065. 1 indexed citations
4.
Eterigho-Ikelegbe, Orevaoghene, et al.. (2024). Extractability and mineralogical evaluation of rare earth elements from Waterberg Coalfield run-of-mine and discard coal. International Journal of Coal Science & Technology. 11(1). 9 indexed citations
5.
Chen, Yuxin, Manoj Khandelwal, Moshood Onifade, et al.. (2024). Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models. Fuel. 384. 133953–133953. 8 indexed citations
6.
Eterigho-Ikelegbe, Orevaoghene, et al.. (2024). Optimized design and fabrication of a wind-sifter separator for enhanced dry beneficiation of high-ash coal. Fuel. 386. 134230–134230. 1 indexed citations
7.
Tijani, Jimoh Oladejo, A. S. Abdulkareem, S. Mustapha, et al.. (2023). Polyethyleneglycol-polyhydroxylbutyrate functionalized carbon nanotubes for industrial electroplating wastewater treatment. Separation and Purification Technology. 332. 125736–125736. 8 indexed citations
8.
Onifade, Moshood, et al.. (2023). Effects of Proximate Analysis on Coal Ash Fusion Temperatures: An Application of Artificial Neural Network. ACS Omega. 8(42). 39080–39095. 3 indexed citations
9.
10.
Bada, Samson, et al.. (2023). Wind-Sifting Separation: A Review. ACS Omega. 8(38). 34196–34205. 5 indexed citations
11.
12.
Lawal, Abiodun Ismail, et al.. (2023). Prediction of Thermal Coal Ash Behavior of South African Coals: Comparative Applications of ANN, GPR, and SVR. Natural Resources Research. 32(3). 1399–1413. 11 indexed citations
13.
Eterigho-Ikelegbe, Orevaoghene, et al.. (2023). Strong, lightweight, thermally stable, and hydrophobic sustainable structural composites produced from coal-based waste and polymer-derived SiOC ceramics. Clean Technologies and Environmental Policy. 25(9). 2865–2884. 3 indexed citations
14.
Eterigho-Ikelegbe, Orevaoghene, et al.. (2023). Mechanism of bonding, surface property, electrical behaviour, and environmental friendliness of carbon/ceramic composites produced via the pyrolysis of coal waste with polysiloxane polymer. Environmental Science and Pollution Research. 30(41). 93786–93799. 3 indexed citations
15.
Mustapha, S., et al.. (2022). Development of Ag-doped on multi-walled carbon nanotubes for the treatment of fish pond effluent. Regional Studies in Marine Science. 58. 102797–102797. 26 indexed citations
16.
Onifade, Moshood, Abiodun Ismail Lawal, Jibril Abdulsalam, et al.. (2021). Development of multiple soft computing models for estimating organic and inorganic constituents in coal. International Journal of Mining Science and Technology. 31(3). 483–494. 27 indexed citations
17.
18.
Onifade, Moshood, Abiodun Ismail Lawal, Adeyemi Emman Aladejare, Samson Bada, & Musa Adebayo Idris. (2019). Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis. International Journal of Coal Preparation and Utilization. 42(4). 1170–1184. 37 indexed citations
19.
Bada, Samson, et al.. (2010). The potential of electrostatic separation in the upgrading of South African fine coal prior to utilization - a review. Journal of the Southern African Institute of Mining and Metallurgy. 110(11). 691–702. 6 indexed citations
20.
Bada, Samson, et al.. (1992). Effects of seed size on seedling vigour in idigbo (Terminalia ivorensis).. JOURNAL OF TROPICAL FOREST SCIENCE. 4(3). 215–224. 12 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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