George Uwadiegwu Alaneme

1.9k total citations
84 papers, 1.2k citations indexed

About

George Uwadiegwu Alaneme is a scholar working on Civil and Structural Engineering, Building and Construction and Industrial and Manufacturing Engineering. According to data from OpenAlex, George Uwadiegwu Alaneme has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Civil and Structural Engineering, 44 papers in Building and Construction and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in George Uwadiegwu Alaneme's work include Innovative concrete reinforcement materials (32 papers), Concrete and Cement Materials Research (25 papers) and Recycled Aggregate Concrete Performance (25 papers). George Uwadiegwu Alaneme is often cited by papers focused on Innovative concrete reinforcement materials (32 papers), Concrete and Cement Materials Research (25 papers) and Recycled Aggregate Concrete Performance (25 papers). George Uwadiegwu Alaneme collaborates with scholars based in Uganda, Nigeria and India. George Uwadiegwu Alaneme's co-authors include Elvis Michael Mbadike, Imoh Christopher Attah, Kennedy C. Onyelowe, Ebenezer Esenogho, Kolawole Adisa Olonade, Roland Kufre Etim, Abdalrhman Milad, Duc Bui Van, Michael E. Onyia and Fazal E. Jalal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Separation and Purification Technology.

In The Last Decade

George Uwadiegwu Alaneme

74 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Uwadiegwu Alaneme Uganda 24 880 627 156 81 77 84 1.2k
Marc Azab Kuwait 23 953 1.1× 697 1.1× 41 0.3× 147 1.8× 101 1.3× 80 1.5k
Ghassan R. Chehab Lebanon 24 1.5k 1.6× 481 0.8× 184 1.2× 70 0.9× 254 3.3× 96 1.9k
Roger West Ireland 16 648 0.7× 696 1.1× 35 0.2× 51 0.6× 159 2.1× 67 1.1k
D. S. Vijayan India 18 646 0.7× 502 0.8× 73 0.5× 81 1.0× 141 1.8× 92 1.2k
Gilberto Martínez-Argüelles Colombia 21 1.0k 1.2× 405 0.6× 41 0.3× 105 1.3× 124 1.6× 43 1.2k
Nikola Tošić Spain 17 957 1.1× 956 1.5× 127 0.8× 16 0.2× 44 0.6× 58 1.2k
Zhenliang Jiang China 16 596 0.7× 191 0.3× 29 0.2× 65 0.8× 114 1.5× 50 878
Rosa Veropalumbo Italy 17 559 0.6× 285 0.5× 46 0.3× 68 0.8× 41 0.5× 40 767
Amir Ali Shahmansouri Iran 16 1.2k 1.4× 774 1.2× 34 0.2× 20 0.2× 56 0.7× 25 1.4k

Countries citing papers authored by George Uwadiegwu Alaneme

Since Specialization
Citations

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

Fields of papers citing papers by George Uwadiegwu Alaneme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Uwadiegwu Alaneme. 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 George Uwadiegwu Alaneme. The network helps show where George Uwadiegwu Alaneme may publish in the future.

Co-authorship network of co-authors of George Uwadiegwu Alaneme

This figure shows the co-authorship network connecting the top 25 collaborators of George Uwadiegwu Alaneme. A scholar is included among the top collaborators of George Uwadiegwu Alaneme 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 George Uwadiegwu Alaneme. George Uwadiegwu Alaneme 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
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Kahla, Nabil Ben, et al.. (2025). Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties. Scientific Reports. 15(1). 37231–37231.
4.
Giri, Nimay Chandra, et al.. (2025). Equilibrium optimizer-based double integral sliding mode maximum power point tracking for wind energy. Bulletin of Electrical Engineering and Informatics. 14(6). 4189–4197.
5.
Krishnaraj, L., et al.. (2025). Mechanical and thermal performance of bio-brick masonry with hydrated lime mortar at high temperature. Scientific Reports. 15(1). 22546–22546.
6.
Sekar, Anandh, et al.. (2025). Influence of bond strength in treated mixed recycled aggregate concrete incorporating olivine sand. Scientific Reports. 15(1). 21424–21424. 1 indexed citations
7.
Alaneme, George Uwadiegwu, et al.. (2024). Spatial variability of heavy metals concentrations in soil of auto-mechanic workshop clusters in Nsukka, Nigeria. Scientific Reports. 14(1). 9681–9681. 5 indexed citations
8.
Alaneme, George Uwadiegwu, et al.. (2024). Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology. Scientific Reports. 14(1). 23416–23416. 18 indexed citations
9.
Alaneme, George Uwadiegwu, et al.. (2024). Investigating the potential of waste glass in paver block production using RSM. Scientific Reports. 14(1). 21508–21508. 11 indexed citations
10.
Alaneme, George Uwadiegwu, et al.. (2024). Optimization of cassava peel ash concrete using central composite design method. Scientific Reports. 14(1). 7901–7901. 29 indexed citations
11.
Alaneme, George Uwadiegwu, et al.. (2024). Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete. Scientific Reports. 14(1). 26151–26151. 22 indexed citations
12.
Krishnaraj, L., et al.. (2023). Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches. Scientific Reports. 13(1). 14503–14503. 23 indexed citations
13.
Alaneme, George Uwadiegwu, et al.. (2023). Experimental investigation and modelling of the mechanical properties of palm oil fuel ash concrete using Scheffe’s method. Scientific Reports. 13(1). 18583–18583. 20 indexed citations
14.
Alaneme, George Uwadiegwu, et al.. (2023). Numerical Analysis and Parametric Study on Multiple Degrees-of-Freedom Frames. Civil Engineering Journal. 9(7). 1709–1736. 2 indexed citations
15.
Alaneme, George Uwadiegwu, Kolawole Adisa Olonade, & Ebenezer Esenogho. (2023). Eco-friendly agro-waste based geopolymer-concrete: a systematic review. SHILAP Revista de lepidopterología. 3(1). 36 indexed citations
16.
Alaneme, George Uwadiegwu, et al.. (2023). Mathematical modeling and numerical simulation technique for selected heavy metal transport in MSW dumpsite. Scientific Reports. 13(1). 5674–5674. 8 indexed citations
17.
Mbadike, Elvis Michael, et al.. (2022). Prediction of cost and duration of building construction using artificial neural network. Asian Journal of Civil Engineering. 23(7). 1117–1139. 41 indexed citations
18.
Idoko, John Bush, et al.. (2022). Application of deep learning in structural health management of concrete structures. Proceedings of the Institution of Civil Engineers - Bridge Engineering. 177(2). 99–106. 8 indexed citations
19.
Onyelowe, Kennedy C., et al.. (2021). Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil. Applied Computational Intelligence and Soft Computing. 2021. 1–17. 35 indexed citations
20.
Onyelowe, Kennedy C., et al.. (2019). Experimental assessment of subgrade stiffness of lateritic soils treated with crushed waste plastics and ceramics for pavement foundation. International Journal of Low-Carbon Technologies. 14(2). 187–204. 7 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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