Tayyab Zafar

562 total citations
26 papers, 429 citations indexed

About

Tayyab Zafar is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Tayyab Zafar has authored 26 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 8 papers in Civil and Structural Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Tayyab Zafar's work include Non-Destructive Testing Techniques (4 papers), Advanced machining processes and optimization (4 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Tayyab Zafar is often cited by papers focused on Non-Destructive Testing Techniques (4 papers), Advanced machining processes and optimization (4 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). Tayyab Zafar collaborates with scholars based in Pakistan, United Kingdom and China. Tayyab Zafar's co-authors include Senthan Mathavan, K. Kamal, Usman Javed, Khurram Kamal, Rao Arsalan Khushnood, Adnan Nawaz, Zhonglai Wang, Muhammad Khizar Khan, Muhammad Fahad Sheikh and Mujib Rahman and has published in prestigious journals such as PLoS ONE, Construction and Building Materials and Sensors.

In The Last Decade

Tayyab Zafar

24 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tayyab Zafar Pakistan 13 176 112 97 92 50 26 429
Dandan Pang China 9 136 0.8× 48 0.4× 30 0.3× 85 0.9× 51 1.0× 22 354
David C. Anderson United States 12 69 0.4× 91 0.8× 42 0.4× 226 2.5× 57 1.1× 23 434
Arun K Mohan India 4 552 3.1× 150 1.3× 26 0.3× 61 0.7× 79 1.6× 8 679
Mustafa Sönmez Türkiye 10 459 2.6× 74 0.7× 70 0.7× 46 0.5× 21 0.4× 17 719
Shun Li China 9 76 0.4× 79 0.7× 121 1.2× 25 0.3× 12 0.2× 40 416
Adil Amirjanov Cyprus 11 200 1.1× 37 0.3× 112 1.2× 14 0.2× 10 0.2× 32 434
Hongwei Song United States 13 415 2.4× 78 0.7× 245 2.5× 15 0.2× 30 0.6× 44 819

Countries citing papers authored by Tayyab Zafar

Since Specialization
Citations

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

Fields of papers citing papers by Tayyab Zafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tayyab Zafar

This figure shows the co-authorship network connecting the top 25 collaborators of Tayyab Zafar. A scholar is included among the top collaborators of Tayyab Zafar 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 Tayyab Zafar. Tayyab Zafar 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.
Elahi, Hassan, et al.. (2025). Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories. PLoS ONE. 20(9). e0331502–e0331502.
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Jabbar, Hamid, et al.. (2024). Application of robotic manipulation for carbon fiber reinforced polymers manufacturing- A survey. Composites Part C Open Access. 15. 100503–100503. 4 indexed citations
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Javed, Usman, et al.. (2021). Eco-friendly incorporation of sugarcane bagasse ash as partial replacement of sand in foam concrete. Cleaner Engineering and Technology. 4. 100164–100164. 48 indexed citations
7.
Kamal, Khurram, et al.. (2021). Failure classification in natural gas pipe-lines using artificial intelligence: A case study. Energy Reports. 7. 7640–7647. 20 indexed citations
8.
Zafar, Tayyab, Khurram Kamal, Senthan Mathavan, et al.. (2021). A Hybrid Approach for Noise Reduction in Acoustic Signal of Machining Process Using Neural Networks and ARMA Model. Sensors. 21(23). 8023–8023. 8 indexed citations
9.
Zafar, Tayyab & Zhonglai Wang. (2020). An efficient method for time-dependent reliability prediction using domain adaptation. Structural and Multidisciplinary Optimization. 62(5). 2323–2340. 5 indexed citations
10.
Zafar, Tayyab & Zhonglai Wang. (2020). Time-dependent reliability prediction using transfer learning. Structural and Multidisciplinary Optimization. 62(1). 147–158. 15 indexed citations
11.
Javed, Usman, et al.. (2020). Sustainable incorporation of waste granite dust as partial replacement of sand in autoclave aerated concrete. Construction and Building Materials. 250. 118878–118878. 72 indexed citations
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Zafar, Tayyab, et al.. (2017). A neural network based approach for background noise reduction in airborne acoustic emission of a machining process. Journal of Mechanical Science and Technology. 31(7). 3171–3182. 17 indexed citations
14.
Kamal, Khurram, et al.. (2016). Performance assessment of Kinect as a sensor for pothole imaging and metrology. International Journal of Pavement Engineering. 19(7). 565–576. 32 indexed citations
15.
Kamal, K., et al.. (2016). Wood defects classification using GLCM based features and PSO trained neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 273–277. 26 indexed citations
16.
Khan, Sharifullah, et al.. (2016). Control of a ball-bot using a PSO trained neural network. 24–28. 1 indexed citations
17.
Rashid, Mohammad A., et al.. (2015). Energy prediction of a combined cycle power plant using a particle swarm optimization trained feedforward neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–5. 18 indexed citations
18.
Zafar, Tayyab, et al.. (2015). Tool health monitoring using airborne acoustic emission and a PSO-optimized neural network. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 271–276. 5 indexed citations
19.
Zafar, Tayyab, et al.. (2015). Tool health monitoring for wood milling process using airborne acoustic emission. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1521–1526. 16 indexed citations
20.
Zafar, Tayyab, et al.. (2014). Smart phone interface for robust control of mobile robots. 4997. 42–46. 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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