Irhamah Irhamah
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Neurology
- Information Systems top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Nur IriawanKartika FithriasariZuhaimy IsmailAnindya Apriliyanti PravitasariSanti Wulan PurnamiMuhammad MashuriHeri KuswantoPurhadi Purhadi
- Topics
- Data Mining and Machine Learning Applications (19 papers)Multimedia Learning Systems (9 papers)Computer Science and Engineering (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesJournal of Applied Sciences
In The Last Decade
Irhamah Irhamah
43 papers receiving 234 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 73
- Neurology 55
- Information Systems 52
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Irhamah Irhamah
This map shows the geographic impact of Irhamah Irhamah'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 Irhamah Irhamah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irhamah Irhamah more than expected).
Fields of papers citing papers by Irhamah Irhamah
This network shows the impact of papers produced by Irhamah Irhamah. 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 Irhamah Irhamah. The network helps show where Irhamah Irhamah may publish in the future.
Co-authorship network of co-authors of Irhamah Irhamah
This figure shows the co-authorship network connecting the top 25 collaborators of Irhamah Irhamah. A scholar is included among the top collaborators of Irhamah Irhamah 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 Irhamah Irhamah. Irhamah Irhamah 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 | 17 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Model Components Selection in Bayesian Model Averaging Using Occam's Window for Microarray Data | 5 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | A Breeder Genetic Algorithm For Vehicle Routing Problem with Stochastic Demands | 4 |
About Irhamah Irhamah
Irhamah Irhamah is a scholar working on Information Systems, Artificial Intelligence and Statistics and Probability, having authored 57 papers that have together received 264 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (19 papers), Multimedia Learning Systems (9 papers) and Computer Science and Engineering (8 papers). The work is most often cited by research in Neurology (55 citations), Computer Vision and Pattern Recognition (73 citations) and Industrial and Manufacturing Engineering (28 citations). Irhamah Irhamah has collaborated with scholars based in Indonesia and Malaysia. Frequent co-authors include Nur Iriawan, Kartika Fithriasari, Zuhaimy Ismail, Anindya Apriliyanti Pravitasari, Santi Wulan Purnami, Muhammad Mashuri, Heri Kuswanto, Purhadi Purhadi, Sutikno Sutikno and Agus Zainal Arifin. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Journal of Applied Sciences.
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.