Z. Shayfull
Impact in
- Automotive Engineering top 2%
- Additive Manufacturing and 3D Printing Technologies
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- Manufacturing Process and Optimization
Papers in
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- Injection Molding Process and Properties 60
- Advanced machining processes and optimization 33
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- Manufacturing Process and Optimization 56
- Co-authors
- Azlan Mohd Zain (6 shared papers)S. M. Nasir (51 shared papers)M. Fathullah (39 shared papers)N. Z. Noriman (35 shared papers)Safian Sharif (21 shared papers)N. Hatta (3 shared papers)Yusliza Yusoff (1 shared paper)Roselina Sallehuddin (3 shared papers)
In The Last Decade
Z. Shayfull
118 papers receiving 982 citations
Peers
Comparison fields: 5 of 101
- Automotive Engineering 338
- Industrial and Manufacturing Engineering 240
- Mechanical Engineering 510
- Polymers and Plastics 157
- Biomaterials 82
Countries citing papers authored by Z. Shayfull
This map shows the geographic impact of Z. Shayfull'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 Z. Shayfull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Shayfull more than expected).
Fields of papers citing papers by Z. Shayfull
This network shows the impact of papers produced by Z. Shayfull. 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 Z. Shayfull. The network helps show where Z. Shayfull may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Shayfull, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2013 | 77 | |
| 3 | 2021 | 44 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 2016 | 33 | |
| 7 | 2013 | 33 | |
| 8 | 2016 | 26 | |
| 9 | 2019 | 24 | |
| 10 | 2016 | 22 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2017 | 16 |
About Z. Shayfull
Z. Shayfull is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Automotive Engineering, Polymers and Plastics and Biomaterials, having authored 130 papers that have together received 1.0k indexed citations. Recurring topics across this work include Injection Molding Process and Properties (60 papers), Manufacturing Process and Optimization (56 papers), Additive Manufacturing and 3D Printing Technologies (50 papers), Advanced machining processes and optimization (33 papers), Natural Fiber Reinforced Composites (15 papers), Polymer Nanocomposites and Properties (13 papers), Concrete and Cement Materials Research (7 papers) and biodegradable polymer synthesis and properties (7 papers). The work is most often cited by research in Automotive Engineering (338 citations), Industrial and Manufacturing Engineering (240 citations), Mechanical Engineering (510 citations), Polymers and Plastics (157 citations) and Biomaterials (82 citations). Z. Shayfull has collaborated with scholars based in Malaysia, Algeria and Indonesia. Frequent co-authors include Azlan Mohd Zain, S. M. Nasir, M. Fathullah, N. Z. Noriman, Safian Sharif, N. Hatta, Yusliza Yusoff, Roselina Sallehuddin, Omar S. Dahham and Redhwan M. A. Saad. Their work appears in journals such as Advances in Polymer Technology, Artificial Intelligence Review, Journal of Electronic Materials, Construction and Building Materials and Archives of Metallurgy and Materials.
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.