Yusra Fernando
- Information Systems top 5%
- Artificial Intelligence top 10%
- Management Information Systems top 10%
- Demography
- Education
- Co-authors
- Rohmat Indra BormanDyah Ayu MegawatyDebby AlitaAdi SuciptoHeni SulistianiYuri RahmantoImam AhmadDonaya Pasha
- Topics
- Edcuational Technology Systems (16 papers)Multimedia Learning Systems (16 papers)Blockchain Technology in Education and Learning (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJurnal Nasional Teknologi dan Sistem InformasiEngineering Technology & Applied Science Research
In The Last Decade
Yusra Fernando
30 papers receiving 292 citations
Peers
Comparison fields: 5 of 54
- Information Systems 252
- Artificial Intelligence 192
- Management Information Systems 84
- Demography 26
- Education 22
Countries citing papers authored by Yusra Fernando
This map shows the geographic impact of Yusra Fernando'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 Yusra Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusra Fernando more than expected).
Fields of papers citing papers by Yusra Fernando
This network shows the impact of papers produced by Yusra Fernando. 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 Yusra Fernando. The network helps show where Yusra Fernando may publish in the future.
Co-authorship network of co-authors of Yusra Fernando
This figure shows the co-authorship network connecting the top 25 collaborators of Yusra Fernando. A scholar is included among the top collaborators of Yusra Fernando 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 Yusra Fernando. Yusra Fernando 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 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 34 | |
| 18 | Pemetaan Potensi Pariwisata Kabupaten Waykanan Menggunakan Algoritma Dijkstra | 7 |
| 19 | KLASIFIKASI JENIS DAGING BERDASARKAN ANALISIS CITRA TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRICES (GLCM) DAN WARNA | 9 |
| 20 | 10 |
About Yusra Fernando
Yusra Fernando is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 35 papers that have together received 340 indexed citations. Recurring topics across this work include Edcuational Technology Systems (16 papers), Multimedia Learning Systems (16 papers) and Blockchain Technology in Education and Learning (12 papers). The work is most often cited by research in Information Systems (252 citations), Management Information Systems (84 citations) and Artificial Intelligence (192 citations). Yusra Fernando has collaborated with scholars based in Indonesia and India. Frequent co-authors include Rohmat Indra Borman, Dyah Ayu Megawaty, Debby Alita, Adi Sucipto, Heni Sulistiani, Yuri Rahmanto, Imam Ahmad, Donaya Pasha, Indra Gunawan and Purwono Prasetyawan. Their work appears in journals such as SHILAP Revista de lepidopterología, Jurnal Nasional Teknologi dan Sistem Informasi and Engineering Technology & Applied Science Research.
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.