Aisha Naseer
- Industrial and Manufacturing Engineering top 2%
- Management Science and Operations Research top 5%
- Management Information Systems top 5%
- Emergency Medical Services top 5%
- Strategy and Management top 10%
- Co-authors
- Tillal EldabiLampros StergioulasMohsen JahangirianTerry YoungSimone StumpfSally BrailsfordBrijesh PatelPaul Harper
- Topics
- Ethics and Social Impacts of AI (5 papers)Complex Systems and Decision Making (2 papers)Explainable Artificial Intelligence (XAI) (2 papers)
- Partner nations
- United KingdomPakistanJordan
In The Last Decade
Aisha Naseer
12 papers receiving 578 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Industrial and Manufacturing Engineering 204
- Management Science and Operations Research 166
- Management Information Systems 149
- Emergency Medical Services 88
- Strategy and Management 69
Countries citing papers authored by Aisha Naseer
This map shows the geographic impact of Aisha Naseer'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 Aisha Naseer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Naseer more than expected).
Fields of papers citing papers by Aisha Naseer
This network shows the impact of papers produced by Aisha Naseer. 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 Aisha Naseer. The network helps show where Aisha Naseer may publish in the future.
Co-authorship network of co-authors of Aisha Naseer
This figure shows the co-authorship network connecting the top 25 collaborators of Aisha Naseer. A scholar is included among the top collaborators of Aisha Naseer 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 Aisha Naseer. Aisha Naseer 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 | 0 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 29 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 64 | |
| 12 | Simulation in manufacturing and business: A reviewbreakdown → | 425 |
| 13 | POTENTIAL APPLICATIONS OF SIMULATION MODELLING TECHNIQUES IN HEALTHCARE: LESSONS LEARNED FROM AEROSPACE & MILITARY | 5 |
| 14 | A survey of simulation techniques in commerce and defence | 11 |
About Aisha Naseer
Aisha Naseer is a scholar working on Health Informatics, Safety Research and Management Science and Operations Research, having authored 14 papers that have together received 616 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Complex Systems and Decision Making (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (204 citations), Health Informatics (25 citations) and Management Information Systems (149 citations). Aisha Naseer has collaborated with scholars based in United Kingdom, Pakistan and Jordan. Frequent co-authors include Tillal Eldabi, Lampros Stergioulas, Mohsen Jahangirian, Terry Young, Simone Stumpf, Sally Brailsford, Brijesh Patel, Paul Harper, Daniele Regoli and Christoph Lütge. Their work appears in journals such as Scientific Reports, European Journal of Operational Research 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.