Muhammad Akbar

1.8k total citations · 1 hit paper
63 papers, 1.2k citations indexed

About

Muhammad Akbar is a scholar working on Civil and Structural Engineering, Building and Construction and Economics and Econometrics. According to data from OpenAlex, Muhammad Akbar has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Civil and Structural Engineering, 17 papers in Building and Construction and 8 papers in Economics and Econometrics. Recurrent topics in Muhammad Akbar's work include Innovative concrete reinforcement materials (14 papers), Concrete and Cement Materials Research (10 papers) and Structural Behavior of Reinforced Concrete (7 papers). Muhammad Akbar is often cited by papers focused on Innovative concrete reinforcement materials (14 papers), Concrete and Cement Materials Research (10 papers) and Structural Behavior of Reinforced Concrete (7 papers). Muhammad Akbar collaborates with scholars based in China, Pakistan and Saudi Arabia. Muhammad Akbar's co-authors include Rong-Gen Cai, Rong-Gen Cai, Azka Amin, Waqar Ameer, Tariq Umar, Cem Işık, Peng Sun, Nora Yusma Mohamed Yusoff, Nida Gull and Muhammad Asghar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Akbar

55 papers receiving 1.2k citations

Hit Papers

Thermodynamic behavior of the Friedmann equation at the a... 2007 2026 2013 2019 2007 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Akbar China 16 616 556 255 246 159 63 1.2k
M. Sevenster Australia 17 552 0.9× 49 0.1× 6 0.0× 14 0.1× 129 0.8× 32 930
T. Jayaraman India 13 42 0.1× 218 0.4× 5 0.0× 130 0.5× 53 0.3× 47 511
Ivan Andrić Croatia 13 9 0.0× 46 0.1× 24 0.1× 82 0.3× 15 0.1× 43 803
Samuel W. Skillman United States 10 289 0.5× 187 0.3× 4 0.0× 5 0.0× 12 0.1× 17 666
Ziyi Wang China 13 26 0.0× 35 0.1× 3 0.0× 25 0.1× 42 0.3× 58 685
G. Alimonti Italy 8 14 0.0× 201 0.4× 9 0.0× 5 0.0× 21 0.1× 22 456
Katalin Martinás Hungary 9 14 0.0× 23 0.0× 7 0.0× 94 0.4× 78 0.5× 31 440
И.В. Филимонова Russia 14 53 0.1× 21 0.0× 8 0.0× 4 0.0× 144 0.9× 84 501

Countries citing papers authored by Muhammad Akbar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Akbar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Akbar. A scholar is included among the top collaborators of Muhammad Akbar 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 Muhammad Akbar. Muhammad Akbar 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
2.
Li, Shuang, et al.. (2025). Ground motion inversion utilizing sensor-based structural response time histories with a multi-head attention-enhanced temporal convolutional network. Engineering Applications of Artificial Intelligence. 156. 110955–110955.
3.
Ahmad, Masroor, Muhammad Akbar, Abasal Hussain, et al.. (2025). Self-sensing capabilities in steel fiber-reinforced concrete for shrinkage resistance and structural health monitoring. Scientific Reports. 15(1). 42816–42816.
4.
Akbar, Muhammad, et al.. (2024). Soil amendment with Chenopodium album mitigated the deleterious effects of Fusarium wilt in chilies by modulating the biochemical and physiological attributes. Biocatalysis and Agricultural Biotechnology. 57. 103058–103058. 1 indexed citations
6.
Akbar, Muhammad, et al.. (2024). Finite element analysis on wall deformation and ground settlement behavior induced by excavation in Makassar. AIP conference proceedings. 3140. 50003–50003.
7.
Akbar, Muhammad, et al.. (2024). Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects. International Journal of Mechanics and Materials in Design. 20(3). 591–662. 30 indexed citations
8.
Amin, Azka, Nora Yusma Mohamed Yusoff, Peng Sun, et al.. (2024). The influence of energy transition, and natural resources on carbon emissions in China: an augmented ARDL application. Environment Development and Sustainability. 27(6). 12605–12623. 34 indexed citations
9.
Akbar, Muhammad, et al.. (2024). Seismic response comparison of various geogrid reinforced earth-retaining walls: based on shaking table and 3D FE analysis. Scientific Reports. 14(1). 24168–24168. 4 indexed citations
10.
Li, Shuang, et al.. (2024). Deep learning-based ground motion inversion through recursive structural acceleration response using DRA-LSTM Net. Engineering Structures. 323. 119132–119132. 3 indexed citations
11.
Umar, Tariq, et al.. (2023). Structural Health Monitoring of Underground Metro Tunnel by Identifying Damage Using ANN Deep Learning Auto-Encoder. Applied Sciences. 13(3). 1332–1332. 18 indexed citations
12.
Akbar, Muhammad, et al.. (2023). Seismic Response Compression of Various MSE Walls Based on 3D Modeling. Buildings. 13(11). 2773–2773. 5 indexed citations
13.
Uddin, Md Nasir, et al.. (2023). Prediction of shear behavior of glass FRP bars-reinforced ultra-highperformance concrete I-shaped beams using machine learning. International Journal of Mechanics and Materials in Design. 20(2). 269–290. 28 indexed citations
14.
Amin, Azka, Nora Yusma Mohamed Yusoff, Peng Sun, et al.. (2023). The influence of renewable and non-renewable energy on carbon emissions in Pakistan: evidence from stochastic impacts by regression on population, affluence, and technology model. Frontiers in Environmental Science. 11. 30 indexed citations
15.
Wu, Qing, et al.. (2023). Protective Performance of Coated Reinforcement in Coral Concrete under Dry/Wet Cycling. Materials. 16(11). 4037–4037. 7 indexed citations
16.
Farooq, Muhammad Umar, Azka Amin, Peng Sun, et al.. (2023). Role of Innovations to Mitigate CO2e: Theory and Evidence for European Economies. Sustainability. 15(9). 7618–7618. 10 indexed citations
17.
Amin, Azka, et al.. (2021). Investigating household sector’s non-renewables, biomass energy consumption and carbon emissions for Pakistan. Environmental Science and Pollution Research. 28(30). 40824–40834. 29 indexed citations
18.
Nadeem, Muhammad Waqas, et al.. (2021). Investigation of the settlement prediction in soft soil by Richards Model: based on a linear least squares-iteration method. Archives of Civil Engineering. 491–506. 9 indexed citations
19.
Akbar, Muhammad, et al.. (2019). Investigation of Utilizing Coffee Commodities toward Land Suitability, Case Study: Mane Village, Aceh Province. SHILAP Revista de lepidopterología. 6(3). 608–608. 1 indexed citations
20.
Song, Zhijie, Muhammad Asghar, Nida Gull, Rui Shi, & Muhammad Akbar. (2019). Perceived organizational politics impact on organizational citizenship behavior: Job stress in the teachers. Biocell. 43(6). 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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