Zakwan Skaf
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Automotive Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Ian JennionsTaichun QinJianbin GuoShengkui ZengStephen KingYifan ZhaoHaochen LiuYufei Lin
- Topics
- Fault Detection and Control Systems (10 papers)Reliability and Maintenance Optimization (10 papers)Machine Fault Diagnosis Techniques (8 papers)
- Partner nations
- United KingdomUnited Arab EmiratesChina
In The Last Decade
Zakwan Skaf
24 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 120
- Safety, Risk, Reliability and Quality 80
- Automotive Engineering 74
- Electrical and Electronic Engineering 72
- Artificial Intelligence 48
Countries citing papers authored by Zakwan Skaf
This map shows the geographic impact of Zakwan Skaf'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 Zakwan Skaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zakwan Skaf more than expected).
Fields of papers citing papers by Zakwan Skaf
This network shows the impact of papers produced by Zakwan Skaf. 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 Zakwan Skaf. The network helps show where Zakwan Skaf may publish in the future.
Co-authorship network of co-authors of Zakwan Skaf
This figure shows the co-authorship network connecting the top 25 collaborators of Zakwan Skaf. A scholar is included among the top collaborators of Zakwan Skaf 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 Zakwan Skaf. Zakwan Skaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 55 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | System component degradation: filter clogging in a UAV fuel system | 2 |
| 18 | 45 | |
| 19 | 20 | |
| 20 | 4 |
About Zakwan Skaf
Zakwan Skaf is a scholar working on Medical Laboratory Technology, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 27 papers that have together received 291 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (10 papers), Reliability and Maintenance Optimization (10 papers) and Machine Fault Diagnosis Techniques (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (80 citations), Medical Laboratory Technology (10 citations) and Automotive Engineering (74 citations). Zakwan Skaf has collaborated with scholars based in United Kingdom, United Arab Emirates and China. Frequent co-authors include Ian Jennions, Taichun Qin, Jianbin Guo, Shengkui Zeng, Stephen King, Yifan Zhao, Haochen Liu, Yufei Lin, Fatih Camci and Hyo‐Sang Shin. Their work appears in journals such as Mechanical Systems and Signal Processing, Applied Soft Computing and Energies.
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.