Zubair Ashraf
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Pranab K. MuhuriQ. M. Danish LohaniRakesh Ranjan KumarMohammad Faisal KhanMohammad ShahidAmerah AlabrahDeepika MalhotraNikhat Parveen
- Topics
- Multi-Criteria Decision Making (11 papers)Reliability and Maintenance Optimization (6 papers)Optimization and Mathematical Programming (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- IndiaSaudi ArabiaChina
In The Last Decade
Zubair Ashraf
33 papers receiving 491 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 153
- Artificial Intelligence 147
- Computer Networks and Communications 119
- Computer Vision and Pattern Recognition 87
- Control and Systems Engineering 72
Countries citing papers authored by Zubair Ashraf
This map shows the geographic impact of Zubair Ashraf'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 Zubair Ashraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zubair Ashraf more than expected).
Fields of papers citing papers by Zubair Ashraf
This network shows the impact of papers produced by Zubair Ashraf. 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 Zubair Ashraf. The network helps show where Zubair Ashraf may publish in the future.
Co-authorship network of co-authors of Zubair Ashraf
This figure shows the co-authorship network connecting the top 25 collaborators of Zubair Ashraf. A scholar is included among the top collaborators of Zubair Ashraf 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 Zubair Ashraf. Zubair Ashraf 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 | 2 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 12 | |
| 12 | 20 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 20 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 19 | |
| 20 | 23 |
About Zubair Ashraf
Zubair Ashraf is a scholar working on Management Science and Operations Research, Software and Health Informatics, having authored 34 papers that have together received 512 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Reliability and Maintenance Optimization (6 papers) and Optimization and Mathematical Programming (5 papers). The work is most often cited by research in Management Science and Operations Research (153 citations), Software (36 citations) and Safety, Risk, Reliability and Quality (68 citations). Zubair Ashraf has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include Pranab K. Muhuri, Q. M. Danish Lohani, Rakesh Ranjan Kumar, Mohammad Faisal Khan, Mohammad Shahid, Amerah Alabrah, Deepika Malhotra, Nikhat Parveen, Mohammad Shameem and Rahul Nath. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.