Desy Apriani
- Information Systems top 5%
- Artificial Intelligence
- Education
- Demography top 10%
- Management Information Systems top 10%
- Co-authors
- Untung RahardjaEfa Ayu NabilaQurotul AiniAlfiah KhoirunisaNinda LutfianiIndri HandayaniAnggy Giri PrawiyogiMuhamad Yusup
- Topics
- Blockchain Technology in Education and Learning (22 papers)Blockchain Technology Applications and Security (8 papers)Multimedia Learning Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAIP conference proceedingsAdvances in Social Science, Education and Humanities Research
In The Last Decade
Desy Apriani
31 papers receiving 285 citations
Peers
Comparison fields: 5 of 66
- Information Systems 199
- Artificial Intelligence 75
- Education 44
- Demography 42
- Management Information Systems 38
Countries citing papers authored by Desy Apriani
This map shows the geographic impact of Desy Apriani'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 Desy Apriani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Desy Apriani more than expected).
Fields of papers citing papers by Desy Apriani
This network shows the impact of papers produced by Desy Apriani. 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 Desy Apriani. The network helps show where Desy Apriani may publish in the future.
Co-authorship network of co-authors of Desy Apriani
This figure shows the co-authorship network connecting the top 25 collaborators of Desy Apriani. A scholar is included among the top collaborators of Desy Apriani 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 Desy Apriani. Desy Apriani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 28 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | PEMANFAATAN TEKNOLOGI BLOCKCHAIN PADA PROGRAM SERTIFIKASI DOSEN | 25 |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 2 |
About Desy Apriani
Desy Apriani is a scholar working on Information Systems, Management Information Systems and Demography, having authored 37 papers that have together received 369 indexed citations. Recurring topics across this work include Blockchain Technology in Education and Learning (22 papers), Blockchain Technology Applications and Security (8 papers) and Multimedia Learning Systems (7 papers). The work is most often cited by research in Information Systems (199 citations), Management Information Systems (38 citations) and Demography (42 citations). Desy Apriani has collaborated with scholars based in Indonesia, Australia and Malaysia. Frequent co-authors include Untung Rahardja, Efa Ayu Nabila, Qurotul Aini, Alfiah Khoirunisa, Ninda Lutfiani, Indri Handayani, Anggy Giri Prawiyogi, Muhamad Yusup, Ankur Singh Bist and Bhupesh Rawat. Their work appears in journals such as SHILAP Revista de lepidopterología, AIP conference proceedings and Advances in Social Science, Education and Humanities 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.