Vina Ayumi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Plant Science
- General Agricultural and Biological Sciences top 10%
- Co-authors
- Handrie NoprissonMohamad Ivan FananyAniati Murni ArymurthyErmatita ErmatitaWei HongAbdiansah AbdiansahDevi FitrianahYohannes Yohannes
- Topics
- Edcuational Technology Systems (9 papers)Computer Science and Engineering (6 papers)Data Mining and Machine Learning Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Advanced Computer Science and ApplicationsInternational Journal of Interactive Mobile Technologies (iJIM)
- Partner nations
- IndonesiaUnited KingdomSingapore
In The Last Decade
Vina Ayumi
36 papers receiving 220 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 110
- Information Systems 80
- Computer Vision and Pattern Recognition 43
- Plant Science 21
- General Agricultural and Biological Sciences 17
Countries citing papers authored by Vina Ayumi
This map shows the geographic impact of Vina Ayumi'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 Vina Ayumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vina Ayumi more than expected).
Fields of papers citing papers by Vina Ayumi
This network shows the impact of papers produced by Vina Ayumi. 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 Vina Ayumi. The network helps show where Vina Ayumi may publish in the future.
Co-authorship network of co-authors of Vina Ayumi
This figure shows the co-authorship network connecting the top 25 collaborators of Vina Ayumi. A scholar is included among the top collaborators of Vina Ayumi 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 Vina Ayumi. Vina Ayumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 40 |
About Vina Ayumi
Vina Ayumi is a scholar working on Human-Computer Interaction, Artificial Intelligence and Information Systems, having authored 40 papers that have together received 225 indexed citations. Recurring topics across this work include Edcuational Technology Systems (9 papers), Computer Science and Engineering (6 papers) and Data Mining and Machine Learning Applications (6 papers). The work is most often cited by research in Information Systems (80 citations), Artificial Intelligence (110 citations) and Computer Vision and Pattern Recognition (43 citations). Vina Ayumi has collaborated with scholars based in Indonesia, United Kingdom and Singapore. Frequent co-authors include Handrie Noprisson, Mohamad Ivan Fanany, Aniati Murni Arymurthy, Ermatita Ermatita, Wei Hong, Abdiansah Abdiansah, Devi Fitrianah, Yohannes Yohannes, Mohammad Abrar and Wei Hong. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Advanced Computer Science and Applications and International Journal of Interactive Mobile Technologies (iJIM).
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.