Lukman Akanbi

4.3k total citations · 3 hit papers
30 papers, 2.8k citations indexed

About

Lukman Akanbi is a scholar working on Building and Construction, Civil and Structural Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Lukman Akanbi has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Building and Construction, 5 papers in Civil and Structural Engineering and 5 papers in Radiological and Ultrasound Technology. Recurrent topics in Lukman Akanbi's work include BIM and Construction Integration (12 papers), Infrastructure Maintenance and Monitoring (5 papers) and Recycled Aggregate Concrete Performance (5 papers). Lukman Akanbi is often cited by papers focused on BIM and Construction Integration (12 papers), Infrastructure Maintenance and Monitoring (5 papers) and Recycled Aggregate Concrete Performance (5 papers). Lukman Akanbi collaborates with scholars based in United Kingdom, Nigeria and Hong Kong. Lukman Akanbi's co-authors include Lukumon O. Oyedele, Olúgbénga O. Akinadé, Anuoluwapo Ajayi, Juan Manuel Dávila Delgado, Muhammad Bilal, Hakeem A. Owolabi, Sururah A. Bello, Ashraf Ahmed, Sofiat Abioye and Muhammad Bilal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Resources Conservation and Recycling.

In The Last Decade

Lukman Akanbi

30 papers receiving 2.7k citations

Hit Papers

3 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

2021 503 citations Sofiat Abioye, Lukumon O. Oyedele et al. Journal of Building Engineering profile →
Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

2019 388 citations Juan Manuel Dávila Delgado, Lukumon O. Oyedele et al. Journal of Building Engineering profile →
Cloud computing in construction industry: Use cases, benefits and challenges

2020 262 citations Sururah A. Bello, Lukumon O. Oyedele et al. Automation in Construction profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukman Akanbi United Kingdom	22	1.5k	481	454	381	311	30	2.8k
Anuoluwapo Ajayi United Kingdom	23	1.6k 1.1×	424 0.9×	512 1.1×	367 1.0×	417 1.3×	44	3.0k
Juan Manuel Dávila Delgado United Kingdom	24	1.6k 1.0×	307 0.6×	446 1.0×	529 1.4×	458 1.5×	35	3.1k
Hakeem A. Owolabi United Kingdom	32	2.6k 1.7×	691 1.4×	1.0k 2.3×	383 1.0×	386 1.2×	46	4.0k
Fernanda Leite United States	29	2.1k 1.4×	357 0.7×	792 1.7×	298 0.8×	674 2.2×	140	3.2k
Saeed Reza Mohandes United Kingdom	29	956 0.6×	282 0.6×	562 1.2×	153 0.4×	270 0.9×	93	2.2k
Muhammad Bilal United Kingdom	31	3.0k 2.0×	792 1.6×	1.2k 2.7×	533 1.4×	601 1.9×	52	4.8k
Farzad Pour Rahimian United Kingdom	30	2.0k 1.4×	245 0.5×	579 1.3×	349 0.9×	336 1.1×	126	3.1k
Chimay Anumba United States	37	2.4k 1.6×	587 1.2×	1.2k 2.6×	689 1.8×	423 1.4×	193	4.4k
Ron Wakefield Australia	27	1.3k 0.8×	263 0.5×	903 2.0×	350 0.9×	229 0.7×	107	2.5k
J.H.M. Tah United Kingdom	34	1.8k 1.2×	410 0.9×	1.4k 3.1×	335 0.9×	609 2.0×	79	3.4k

Countries citing papers authored by Lukman Akanbi

Since Specialization

Citations

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

Fields of papers citing papers by Lukman Akanbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukman Akanbi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Maged, Ahmed, Nehal Elshaboury, & Lukman Akanbi. (2024). Data-driven prediction of construction and demolition waste generation using limited datasets in developing countries: an optimized extreme gradient boosting approach. Environment Development and Sustainability. 27(11). 26865–26889. 15 indexed citations

Owolabi, Hakeem A., et al.. (2024). Big data innovation and implementation in projects teams: towards a SEM approach to conflict prevention. Information Technology and People. 1 indexed citations

Olu-Ajayi, Razak, et al.. (2023). Data-Driven Tools for Building Energy Consumption Prediction: A Review. Energies. 16(6). 2574–2574. 44 indexed citations

Bello, Sururah A., Lukumon O. Oyedele, Kolawole Adisa Olonade, et al.. (2022). A deep learning approach to concrete water-cement ratio prediction. Results in Materials. 15. 100300–100300. 16 indexed citations

Ajayi, Anuoluwapo, et al.. (2022). Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review. Computers and Electronics in Agriculture. 200. 107266–107266. 63 indexed citations

Munir, Kamran, et al.. (2021). IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends. Big Data and Cognitive Computing. 5(1). 10–10. 85 indexed citations

Ajayi, Anuoluwapo, Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2021). Deep learning and Boosted trees for injuries prediction in power infrastructure projects. Applied Soft Computing. 110. 107587–107587. 32 indexed citations

Abioye, Sofiat, Lukumon O. Oyedele, Lukman Akanbi, et al.. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering. 44. 103299–103299. 503 indexed citations breakdown →

Oyedele, Lukumon O., et al.. (2021). Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting. SHILAP Revista de lepidopterología. 7. 100204–100204. 160 indexed citations

10.

Oyedele, Lukumon O., et al.. (2020). BIM competencies for delivering waste-efficient building projects in a circular economy. Developments in the Built Environment. 4. 100036–100036. 47 indexed citations

11.

Akanbi, Lukman, et al.. (2020). Deep learning model for Demolition Waste Prediction in a circular economy. Journal of Cleaner Production. 274. 122843–122843. 137 indexed citations

12.

Bello, Sururah A., Lukumon O. Oyedele, Olúgbénga O. Akinadé, et al.. (2020). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction. 122. 103441–103441. 262 indexed citations breakdown →

13.

Kadiri, Kabir O., et al.. (2019). Smart Cities Implementation: Challenges in Nigeria. UWE Research Repository (UWE Bristol). 3 indexed citations

14.

Delgado, Juan Manuel Dávila, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.. (2019). Robotics and automated systems in construction: Understanding industry-specific challenges for adoption. Journal of Building Engineering. 26. 100868–100868. 388 indexed citations breakdown →

15.

Akinadé, Olúgbénga O., Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2019). Design for deconstruction using a circular economy approach: barriers and strategies for improvement. Production Planning & Control. 31(10). 829–840. 117 indexed citations

16.

Ajayi, Anuoluwapo, Lukumon O. Oyedele, Hakeem A. Owolabi, et al.. (2019). Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects. Risk Analysis. 40(10). 2019–2039. 68 indexed citations

17.

Bilal, Muhammad, Lukumon O. Oyedele, Hakeem A. Owolabi, et al.. (2019). Investigating profitability performance of construction projects using big data: A project analytics approach. Journal of Building Engineering. 26. 100850–100850. 44 indexed citations

18.

Akanbi, Lukman, Lukumon O. Oyedele, Juan Manuel Dávila Delgado, et al.. (2018). Reusability analytics tool for end-of-life assessment of building materials in a circular economy. World Journal of Science Technology and Sustainable Development. 16(1). 40–55. 37 indexed citations

19.

Akanbi, Lukman, et al.. (2010). Automatic recognition of oral vowels in tone language: Experiments with fuzzy logic and neural network models. Applied Soft Computing. 11(1). 1467–1480. 3 indexed citations

20.

Akanbi, Lukman, et al.. (2005). Modeling and Performance Analysis of Dynamic Random Early Detection (DRED) Gateway for Congestion Avoidance. Informing Science and IT Education Conference. 6 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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