Kartini Rahmat
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Surgery
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Norlisah RamliAnushya VijayananthanFarhana FadzliNur Aishah Mohd TaibLi Kuo TanWei Lin NgFaizatul Izza RozalliMohammad Nazri Md Shah
- Topics
- AI in cancer detection (23 papers)Breast Lesions and Carcinomas (21 papers)MRI in cancer diagnosis (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- MalaysiaSingaporeUnited States
In The Last Decade
Kartini Rahmat
107 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 563
- Artificial Intelligence 271
- Surgery 228
- Pathology and Forensic Medicine 219
- Pulmonary and Respiratory Medicine 163
Countries citing papers authored by Kartini Rahmat
This map shows the geographic impact of Kartini Rahmat'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 Kartini Rahmat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kartini Rahmat more than expected).
Fields of papers citing papers by Kartini Rahmat
This network shows the impact of papers produced by Kartini Rahmat. 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 Kartini Rahmat. The network helps show where Kartini Rahmat may publish in the future.
Co-authorship network of co-authors of Kartini Rahmat
This figure shows the co-authorship network connecting the top 25 collaborators of Kartini Rahmat. A scholar is included among the top collaborators of Kartini Rahmat 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 Kartini Rahmat. Kartini Rahmat 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 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 36 | |
| 15 | 18 | |
| 16 | 72 | |
| 17 | 35 | |
| 18 | 15 | |
| 19 | 15 | |
| 20 | 4 |
About Kartini Rahmat
Kartini Rahmat is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Health Informatics, having authored 117 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Breast Lesions and Carcinomas (21 papers) and MRI in cancer diagnosis (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (563 citations), Otorhinolaryngology (74 citations) and Pathology and Forensic Medicine (219 citations). Kartini Rahmat has collaborated with scholars based in Malaysia, Singapore and United States. Frequent co-authors include Norlisah Ramli, Anushya Vijayananthan, Farhana Fadzli, Nur Aishah Mohd Taib, Li Kuo Tan, Wei Lin Ng, Faizatul Izza Rozalli, Mohammad Nazri Md Shah, Kwan Hoong Ng and Yang Faridah Abdul Aziz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.