Hanen Karamti
- Artificial Intelligence top 10%
- Biomedical Engineering
- Management Science and Operations Research top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Muhammad UmerSaima SadiqImran AshrafAla’ Abdulmajid EshmawiAli HassanKifayat UllahJan AwrejcewiczAbdullah Mohamed
- Topics
- Image Retrieval and Classification Techniques (11 papers)Multi-Criteria Decision Making (9 papers)Nanofluid Flow and Heat Transfer (8 papers)
- Cited by
- Health Information ManagementManagement Science and Operations ResearchModeling and Simulation
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Hanen Karamti
80 papers receiving 860 citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 183
- Biomedical Engineering 156
- Management Science and Operations Research 132
- Mechanical Engineering 120
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Hanen Karamti
This map shows the geographic impact of Hanen Karamti'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 Hanen Karamti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanen Karamti more than expected).
Fields of papers citing papers by Hanen Karamti
This network shows the impact of papers produced by Hanen Karamti. 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 Hanen Karamti. The network helps show where Hanen Karamti may publish in the future.
Co-authorship network of co-authors of Hanen Karamti
This figure shows the co-authorship network connecting the top 25 collaborators of Hanen Karamti. A scholar is included among the top collaborators of Hanen Karamti 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 Hanen Karamti. Hanen Karamti 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 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 31 | |
| 10 | 31 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 29 | |
| 17 | 19 | |
| 18 | 28 | |
| 19 | 16 | |
| 20 | MIRACL at ImageCLEF 2014: Plant Identification Task. | 0 |
About Hanen Karamti
Hanen Karamti is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence, having authored 93 papers that have together received 916 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (11 papers), Multi-Criteria Decision Making (9 papers) and Nanofluid Flow and Heat Transfer (8 papers). The work is most often cited by research in Health Information Management (61 citations), Management Science and Operations Research (132 citations) and Modeling and Simulation (36 citations). Hanen Karamti has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Muhammad Umer, Saima Sadiq, Imran Ashraf, Ala’ Abdulmajid Eshmawi, Ali Hassan, Kifayat Ullah, Jan Awrejcewicz, Abdullah Mohamed, Abeer M. Mahmoud and Haolun Wang. Their work appears in journals such as Scientific Reports, International Journal of Hydrogen Energy 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.