Saima Hassan
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Jafreezal JaafarAbbas KhosraviMojtaba Ahmadieh KhanesarSamir Brahim BelhaouariZ.A. ZainalSaid Jadid AbdulkadirMohd Hilmi HasanWali Khan Mashwani
- Topics
- Energy Load and Power Forecasting (10 papers)Neural Networks and Applications (10 papers)Fuzzy Logic and Control Systems (9 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceFluid Flow and Transfer Processes
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSustainability
In The Last Decade
Saima Hassan
43 papers receiving 423 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 177
- Electrical and Electronic Engineering 152
- Management Science and Operations Research 70
- Computer Vision and Pattern Recognition 54
- Control and Systems Engineering 50
Countries citing papers authored by Saima Hassan
This map shows the geographic impact of Saima Hassan'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 Saima Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saima Hassan more than expected).
Fields of papers citing papers by Saima Hassan
This network shows the impact of papers produced by Saima Hassan. 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 Saima Hassan. The network helps show where Saima Hassan may publish in the future.
Co-authorship network of co-authors of Saima Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Saima Hassan. A scholar is included among the top collaborators of Saima Hassan 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 Saima Hassan. Saima Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | 9 | |
| 13 | 38 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | The Effects of Supercharging on the Performance and Exhaust Gas Emissions of a Dual-Fuel Engine Fueled with Producer Gas-Diesel and Palm Oil Blends | 4 |
About Saima Hassan
Saima Hassan is a scholar working on Management Science and Operations Research, Fluid Flow and Transfer Processes and Artificial Intelligence, having authored 47 papers that have together received 448 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (10 papers) and Fuzzy Logic and Control Systems (9 papers). The work is most often cited by research in Management Science and Operations Research (70 citations), Artificial Intelligence (177 citations) and Fluid Flow and Transfer Processes (33 citations). Saima Hassan has collaborated with scholars based in Pakistan, Malaysia and Australia. Frequent co-authors include Jafreezal Jaafar, Abbas Khosravi, Mojtaba Ahmadieh Khanesar, Samir Brahim Belhaouari, Z.A. Zainal, Said Jadid Abdulkadir, Mohd Hilmi Hasan, Wali Khan Mashwani, Erdal Kayacan and Muhammad Asim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.