Diyenti Rusdin
- Artificial Intelligence top 10%
- Education top 10%
- Computer Science Applications top 5%
- Health Informatics top 1%
- Information Systems
- Co-authors
- Marzuki MarzukiDarwin DarwinInda IndrawatiUtami WidiatiNunung SuryatiNur MukminatienYazid BasthomiHidayati Hidayati
- Topics
- Technology-Enhanced Education Studies (4 papers)Artificial Intelligence in Healthcare and Education (3 papers)AI in Service Interactions (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaEducational Media InternationalCogent Education
- Partner nations
- Indonesia
In The Last Decade
Diyenti Rusdin
8 papers receiving 304 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 122
- Education 98
- Computer Science Applications 98
- Health Informatics 90
- Information Systems 43
Countries citing papers authored by Diyenti Rusdin
This map shows the geographic impact of Diyenti Rusdin'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 Diyenti Rusdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diyenti Rusdin more than expected).
Fields of papers citing papers by Diyenti Rusdin
This network shows the impact of papers produced by Diyenti Rusdin. 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 Diyenti Rusdin. The network helps show where Diyenti Rusdin may publish in the future.
Co-authorship network of co-authors of Diyenti Rusdin
This figure shows the co-authorship network connecting the top 25 collaborators of Diyenti Rusdin. A scholar is included among the top collaborators of Diyenti Rusdin 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 Diyenti Rusdin. Diyenti Rusdin 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 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitationsbreakdown → | 90 |
| 7 | The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspectivebreakdown → | 214 |
| 8 | 1 | |
| 9 | COMPARATIVE STUDY BETWEEN CLUSTERING TECHNIQUE AND MIND MAPPING TECHNIQUE TO IMPROVE STUDENTS’ WRITING ABILITY AT THE EIGHT GRADE OF SMPN 2 TOLITOLI | 0 |
About Diyenti Rusdin
Diyenti Rusdin is a scholar working on Health Informatics, Education and Computer Science Applications, having authored 9 papers that have together received 327 indexed citations. Recurring topics across this work include Technology-Enhanced Education Studies (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in Service Interactions (2 papers). The work is most often cited by research in Health Informatics (90 citations), Computer Science Applications (98 citations) and Artificial Intelligence (122 citations). Diyenti Rusdin has collaborated with scholars based in Indonesia. Frequent co-authors include Marzuki Marzuki, Darwin Darwin, Inda Indrawati, Utami Widiati, Nunung Suryati, Nur Mukminatien, Yazid Basthomi and Hidayati Hidayati. Their work appears in journals such as SHILAP Revista de lepidopterología, Educational Media International and Cogent Education.
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.