Ratna Yanti
- Cognitive Neuroscience top 5%
- Signal Processing top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Co-authors
- U. Rajendra AcharyaS. Vinitha SreeJasjit S. SuriRoshan Joy MartisJen Hong TanE. Y. K. NgAndrea PetznickLouis Tong
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Blind Source Separation Techniques (4 papers)Neural Networks and Applications (2 papers)
- Journals
- Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in MedicineInternational Journal of Neural SystemsUltraschall in der Medizin - European Journal of Ultrasound
- Partner nations
- SingaporeMalaysiaUnited States
In The Last Decade
Ratna Yanti
6 papers receiving 664 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 531
- Signal Processing 315
- Cardiology and Cardiovascular Medicine 192
- Artificial Intelligence 106
- Molecular Biology 85
Countries citing papers authored by Ratna Yanti
This map shows the geographic impact of Ratna Yanti'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 Ratna Yanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ratna Yanti more than expected).
Fields of papers citing papers by Ratna Yanti
This network shows the impact of papers produced by Ratna Yanti. 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 Ratna Yanti. The network helps show where Ratna Yanti may publish in the future.
Co-authorship network of co-authors of Ratna Yanti
This figure shows the co-authorship network connecting the top 25 collaborators of Ratna Yanti. A scholar is included among the top collaborators of Ratna Yanti 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 Ratna Yanti. Ratna Yanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | STUDI TENTANG ANYAMAN BAMBU DI KECAMATAN PALUPUAH KABUPATEN AGAM | 0 |
| 2 | 113 | |
| 3 | 27 | |
| 4 | 268 | |
| 5 | 23 | |
| 6 | 199 | |
| 7 | 56 |
About Ratna Yanti
Ratna Yanti is a scholar working on Signal Processing, Cognitive Neuroscience and Reproductive Medicine, having authored 7 papers that have together received 686 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Blind Source Separation Techniques (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (315 citations), Cognitive Neuroscience (531 citations) and Cardiology and Cardiovascular Medicine (192 citations). Ratna Yanti has collaborated with scholars based in Singapore, Malaysia and United States. Frequent co-authors include U. Rajendra Acharya, S. Vinitha Sree, Jasjit S. Suri, Roshan Joy Martis, Jen Hong Tan, E. Y. K. Ng, Andrea Petznick, Louis Tong, Chua Kuang Chua and Jia Wei Zheng. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, International Journal of Neural Systems and Ultraschall in der Medizin - European Journal of Ultrasound.
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.