Bashar S. Mohammed

6.1k total citations
169 papers, 4.8k citations indexed

About

Bashar S. Mohammed is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Bashar S. Mohammed has authored 169 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Civil and Structural Engineering, 109 papers in Building and Construction and 18 papers in Materials Chemistry. Recurrent topics in Bashar S. Mohammed's work include Innovative concrete reinforcement materials (114 papers), Concrete and Cement Materials Research (82 papers) and Structural Behavior of Reinforced Concrete (69 papers). Bashar S. Mohammed is often cited by papers focused on Innovative concrete reinforcement materials (114 papers), Concrete and Cement Materials Research (82 papers) and Structural Behavior of Reinforced Concrete (69 papers). Bashar S. Mohammed collaborates with scholars based in Malaysia, Nigeria and Saudi Arabia. Bashar S. Mohammed's co-authors include M. S. Liew, Musa Adamu, Amin Al‐Fakih, M. Abdullahi, Muhd Fadhil Nuruddin, Veerendrakumar C. Khed, M.M.A. Wahab, Wesam Salah Alaloul, Noor Amila Wan Abdullah Zawawi and Isyaka Abdulkadir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Bashar S. Mohammed

162 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bashar S. Mohammed Malaysia 42 4.0k 3.0k 610 221 201 169 4.8k
Adeyemi Adesina Canada 37 3.6k 0.9× 2.3k 0.8× 1.0k 1.7× 261 1.2× 240 1.2× 119 4.3k
Nasir Shafiq Malaysia 38 3.9k 1.0× 2.8k 0.9× 874 1.4× 134 0.6× 186 0.9× 247 5.2k
Mohammad Ismail Malaysia 33 3.2k 0.8× 1.5k 0.5× 1.3k 2.1× 175 0.8× 178 0.9× 135 4.0k
Hisham Alabduljabbar Saudi Arabia 38 4.3k 1.1× 3.2k 1.1× 594 1.0× 341 1.5× 350 1.7× 128 5.5k
Fahid Aslam Saudi Arabia 46 5.1k 1.3× 3.3k 1.1× 482 0.8× 288 1.3× 418 2.1× 116 6.2k
Paul O. Awoyera Nigeria 34 3.2k 0.8× 2.3k 0.8× 553 0.9× 200 0.9× 237 1.2× 166 4.0k
M. Iqbal Khan Saudi Arabia 30 3.3k 0.8× 2.0k 0.7× 517 0.8× 197 0.9× 142 0.7× 149 3.9k
Rawaz Kurda Portugal 40 3.6k 0.9× 2.9k 1.0× 423 0.7× 198 0.9× 169 0.8× 83 4.3k
Cengiz Duran Atiş Türkiye 41 5.6k 1.4× 3.0k 1.0× 1.1k 1.8× 228 1.0× 258 1.3× 106 6.2k
Fadi Althoey Saudi Arabia 29 2.3k 0.6× 1.4k 0.5× 413 0.7× 141 0.6× 177 0.9× 106 2.9k

Countries citing papers authored by Bashar S. Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Bashar S. Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bashar S. Mohammed. 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 Bashar S. Mohammed. The network helps show where Bashar S. Mohammed may publish in the future.

Co-authorship network of co-authors of Bashar S. Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Bashar S. Mohammed. A scholar is included among the top collaborators of Bashar S. Mohammed 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 Bashar S. Mohammed. Bashar S. Mohammed 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.
Bheel, Naraindas, et al.. (2025). Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology. International Journal of Concrete Structures and Materials. 19(1). 1 indexed citations
2.
Singh, Priyanka, et al.. (2025). Performance Evaluation of Concrete with Varying Proportions of Marble Dust as Partial Cement Substitute. Procedia Structural Integrity. 70. 611–618.
3.
Al–Mattarneh, Hashem, et al.. (2025). Using artificial neural networks and electromagnetic capacitive NDT sensors for wood engineering application. HBRC Journal. 21(1). 211–233.
4.
Singh, Priyanka, et al.. (2025). Optimizing Coated PZT Sensors for Structural Health Monitoring in Hybrid Fibre-Reinforced Concrete Beams. Iranian Journal of Science and Technology Transactions of Civil Engineering. 49(5). 4953–4962.
5.
Ng, Cheng Yee, et al.. (2024). A bibliometric review of hybrid offshore renewable energy and the optimization methods. Ocean Engineering. 312. 119089–119089. 3 indexed citations
6.
7.
8.
Mohammed, Bashar S., M. S. Liew, Noor Amila Wan Abdullah Zawawi, et al.. (2023). Mechanical and Microstructural Properties of Rubberized Geopolymer Concrete: Modeling and Optimization. Buildings. 13(8). 2021–2021. 12 indexed citations
9.
Bheel, Naraindas, Bashar S. Mohammed, M. S. Liew, & Noor Amila Wan Abdullah Zawawi. (2023). Effect of Graphene Oxide as a Nanomaterial on the Durability Behaviors of Engineered Cementitious Composites by Applying RSM Modelling and Optimization. Buildings. 13(8). 2026–2026. 18 indexed citations
10.
11.
Baloo, Lavania, et al.. (2021). Optimization of Cement-Based Mortar Containing Oily Sludge Ash by Response Surface Methodology. Materials. 14(21). 6308–6308. 21 indexed citations
12.
Baloo, Lavania, et al.. (2021). Performance of Fly Ash-Based Inorganic Polymer Mortar with Petroleum Sludge Ash. Polymers. 13(23). 4143–4143. 20 indexed citations
13.
Mohammed, Bashar S., et al.. (2020). Rsm Analysis and Study on the 6 Months Compressive Strength Development and Shrinkage Behaviour of High Volume Fly Ash Rubberized ECC (HVFA-RECC). SSRN Electronic Journal. 9 indexed citations
14.
Sultan, Waleed, et al.. (2019). The Reality of the Production of the Main Cereal Crops in Iraq and Their Impact on Food Security for The Period (1995-2016). SHILAP Revista de lepidopterología. 19(3). 80–90. 1 indexed citations
15.
Adamu, Musa, Bashar S. Mohammed, Nasir Shafiq, & M. S. Liew. (2018). Skid Resistance of nano silica modified roller compacted rubbercrete for pavement applications: Experimental methods and response surface methodology. Cogent Engineering. 5(1). 1452664–1452664. 18 indexed citations
16.
Adamu, Musa, Bashar S. Mohammed, Nasir Shafiq, & M. S. Liew. (2018). Effect of crumb rubber and nano silica on the fatigue performance of roller compacted concrete pavement. Cogent Engineering. 5(1). 1436027–1436027. 29 indexed citations
17.
Khed, Veerendrakumar C., Bashar S. Mohammed, & Muhd Fadhil Nuruddin. (2016). Effects of Nano-Silica modified Self-Compacted, High Volume Fly Ash Mortar on Slump Flow and Compressive Strength. 1(1). 9–12. 8 indexed citations
18.
Abdullahi, M., et al.. (2011). M-FILE FOR MIX DESIGN OF STRUCTURAL LIGHTWEIGHT CONCRETE USING DEVELOPED MODELS. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Mohammed, Bashar S. & Ong Chuan Fang. (2011). Assessing the properties of freshly mixed concrete containing paper-mill residuals and class F fly ash. 2(2). 17–26. 4 indexed citations
20.
Mohammed, Bashar S., et al.. (2009). Graphical User Interface for Proportioning Lightweight Concrete. ACI Concrete International. 31(8). 39–43. 1 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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