Darwin Darwin
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
-
- Technology-Enhanced Education Studies 3
- Educational Curriculum and Learning Methods 1
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- Blockchain Technology in Education and Learning 1
- Co-authors
- Diyenti Rusdin (3 shared papers)Marzuki Marzuki (3 shared papers)Inda Indrawati (2 shared papers)Utami Widiati (1 shared paper)Nur Mukminatien (1 shared paper)Nunung Suryati (1 shared paper)Miyuki Kamachi (1 shared paper)Michael J. Lyons (1 shared paper)
- Journals
- Educational Media International (1 paper)Cogent Education (2 papers)Jurnal Online Informatika (1 paper)
- Partner nations
- Indonesia
In The Last Decade
Darwin Darwin
6 papers receiving 338 citations
Darwin Darwin's Hit Papers
Peers
Comparison fields: 5 of 49
- Health Informatics 93
- Computer Science Applications 97
- Artificial Intelligence 118
- Developmental and Educational Psychology 42
- Education 97
Countries citing papers authored by Darwin Darwin
This map shows the geographic impact of Darwin Darwin'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 Darwin Darwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darwin Darwin more than expected).
Fields of papers citing papers by Darwin Darwin
This network shows the impact of papers produced by Darwin Darwin. 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 Darwin Darwin. The network helps show where Darwin Darwin may publish in the future.
Co-authors
The 11 scholars most cited alongside Darwin Darwin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective Hit paper breakdown → | 2023 | 252 |
| 2 | Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations Hit paper breakdown → | 2023 | 110 |
| 3 | Cultural Differences in Facial Expression Classification | 2007 | 2 |
| 4 | 2024 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Darwin Darwin
Darwin Darwin is a scholar working on Education, Information Systems, Computer Networks and Communications, Social Psychology and Strategy and Management, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include Technology-Enhanced Education Studies (3 papers), Blockchain Technology in Education and Learning (1 paper), Smart Systems and Machine Learning (1 paper), Employee Performance and Management (1 paper), SMEs Development and Digital Marketing (1 paper), Educational Curriculum and Learning Methods (1 paper), Literacy, Media, and Education (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Health Informatics (93 citations), Computer Science Applications (97 citations), Artificial Intelligence (118 citations), Developmental and Educational Psychology (42 citations) and Education (97 citations). Darwin Darwin has collaborated with scholars based in Indonesia. Frequent co-authors include Diyenti Rusdin, Marzuki Marzuki, Inda Indrawati, Utami Widiati, Nur Mukminatien, Nunung Suryati, Miyuki Kamachi, Michael J. Lyons, Garrison W. Cottrell and Matthew N. Dailey. Their work appears in journals such as Educational Media International, Cogent Education and Jurnal Online Informatika.
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.