Ayesha Khan
-
- Multi-Criteria Decision Making 11
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization 5
-
- Rough Sets and Fuzzy Logic 4
- Control and Systems Engineering top 10%
- Optimization and Mathematical Programming 7
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications 3
- Metaheuristic Optimization Algorithms Research 3
-
- Image Retrieval and Classification Techniques 3
-
- COVID-19 and Mental Health 2
- Co-authors
- Muhammad AkramAbdul Rauf BaigUzma AhmadArsham Borumand SaeidFaruk KaraaslanJosé Carlos R. AlcantudGustavo Santos‐GarcíaAnam Luqman
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- Chemistry - A European Journal (1 paper)IEEE Access (1 paper)Journal of Energy Storage (1 paper)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Ayesha Khan
34 papers receiving 596 citations
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 309
- Statistics and Probability 74
- Computational Theory and Mathematics 115
- Control and Systems Engineering 144
- Artificial Intelligence 124
Countries citing papers authored by Ayesha Khan
This map shows the geographic impact of Ayesha Khan'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 Ayesha Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayesha Khan more than expected).
Fields of papers citing papers by Ayesha Khan
This network shows the impact of papers produced by Ayesha Khan. 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 Ayesha Khan. The network helps show where Ayesha Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayesha Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 56 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 17 | |
| 15 | Complex Spherical Dombi Fuzzy Aggregation Operators for Decision-Making. | 2021 | 8 |
| 16 | 2021 | 2 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 13 | |
| 19 | 2010 | 4 | |
| 20 | 2005 | 43 |
About Ayesha Khan
Ayesha Khan is a scholar working on General Dentistry, Management Science and Operations Research and Statistics and Probability, having authored 37 papers that have together received 624 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (7 papers), Fuzzy Systems and Optimization (5 papers), Rough Sets and Fuzzy Logic (4 papers), Evolutionary Algorithms and Applications (3 papers), Image Retrieval and Classification Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Management Science and Operations Research (309 citations), Statistics and Probability (74 citations) and Computational Theory and Mathematics (115 citations). Ayesha Khan has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Akram, Abdul Rauf Baig, Uzma Ahmad, Arsham Borumand Saeid, Faruk Karaaslan, José Carlos R. Alcantud, Gustavo Santos‐García, Anam Luqman, Dragan Pamučar and Tapan Senapati. Their work appears in journals such as Chemistry - A European Journal, IEEE Access and Journal of Energy Storage.
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.