Khaista Rahman
- Management Science and Operations Research top 1%
- Control and Systems Engineering top 5%
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 5%
- Management, Monitoring, Policy and Law top 5%
- Co-authors
- Saleem AbdullahAsad AliM. Shahbaz UllahRehan AhmedMadad KhanFazli AminJan MuhammadFazal Ghani
- Topics
- Multi-Criteria Decision Making (34 papers)Optimization and Mathematical Programming (24 papers)Fuzzy Systems and Optimization (15 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Journals
- Neural Computing and ApplicationsEngineering Applications of Artificial IntelligenceSoft Computing
- Partner nations
- PakistanSaudi ArabiaSerbia
In The Last Decade
Khaista Rahman
37 papers receiving 579 citations
Peers
Comparison fields: 5 of 45
- Management Science and Operations Research 551
- Control and Systems Engineering 348
- Statistics and Probability 187
- Computational Theory and Mathematics 144
- Management, Monitoring, Policy and Law 97
Countries citing papers authored by Khaista Rahman
This map shows the geographic impact of Khaista Rahman'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 Khaista Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaista Rahman more than expected).
Fields of papers citing papers by Khaista Rahman
This network shows the impact of papers produced by Khaista Rahman. 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 Khaista Rahman. The network helps show where Khaista Rahman may publish in the future.
Co-authorship network of co-authors of Khaista Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Khaista Rahman. A scholar is included among the top collaborators of Khaista Rahman 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 Khaista Rahman. Khaista Rahman 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 | 6 | |
| 4 | 14 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 20 | |
| 17 | 29 | |
| 18 | 55 | |
| 19 | 111 | |
| 20 | 1 |
About Khaista Rahman
Khaista Rahman is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering, having authored 38 papers that have together received 593 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (34 papers), Optimization and Mathematical Programming (24 papers) and Fuzzy Systems and Optimization (15 papers). The work is most often cited by research in Management Science and Operations Research (551 citations), Statistics and Probability (187 citations) and Control and Systems Engineering (348 citations). Khaista Rahman has collaborated with scholars based in Pakistan, Saudi Arabia and Serbia. Frequent co-authors include Saleem Abdullah, Asad Ali, M. Shahbaz Ullah, Rehan Ahmed, Madad Khan, Fazli Amin, Jan Muhammad, Fazal Ghani, Ibrahim M. Hezam and Darko Božanić. Their work appears in journals such as Neural Computing and Applications, Engineering Applications of Artificial Intelligence and Soft Computing.
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.