Darwin Darwin

619 total citations · 2 hit papers
8 papers, 308 citations indexed

About

Darwin Darwin is a scholar working on Education, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Darwin Darwin has authored 8 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Education, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Darwin Darwin's work include Technology-Enhanced Education Studies (3 papers), Face Recognition and Perception (1 paper) and Literacy, Media, and Education (1 paper). Darwin Darwin is often cited by papers focused on Technology-Enhanced Education Studies (3 papers), Face Recognition and Perception (1 paper) and Literacy, Media, and Education (1 paper). Darwin Darwin collaborates with scholars based in Indonesia. Darwin Darwin's co-authors include Marzuki Marzuki, Diyenti Rusdin, Utami Widiati, Inda Indrawati, Nunung Suryati, Nur Mukminatien, Jiro Gyoba, Miyuki Kamachi, Hidayati Hidayati and Matthew N. Dailey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Educational Media International and Cogent Education.

In The Last Decade

Darwin Darwin

5 papers receiving 285 citations

Hit Papers

The impact of AI writing tools on the content and organiz... 2023 2026 2024 2025 2023 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective
    2023 214 citations Marzuki Marzuki, Utami Widiati et al. Cogent Education profile →
  2. Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations
    2023 90 citations Darwin Darwin, Diyenti Rusdin et al. Cogent Education profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Darwin Darwin Indonesia 3 114 93 90 83 43 8 308
Diyenti Rusdin Indonesia 4 122 1.1× 98 1.1× 98 1.1× 90 1.1× 43 1.0× 9 327
Inda Indrawati Indonesia 4 90 0.8× 74 0.8× 69 0.8× 72 0.9× 37 0.9× 9 237
John Maurice Gayed Japan 4 112 1.0× 82 0.9× 52 0.6× 64 0.8× 29 0.7× 8 256
Fawzi Ishtaiwa United Arab Emirates 6 62 0.5× 51 0.5× 86 1.0× 64 0.8× 38 0.9× 17 236
Ibtehal Mahmoud Aburezeq United Arab Emirates 5 62 0.5× 50 0.5× 86 1.0× 64 0.8× 35 0.8× 30 239
Silvia Pokrivčáková Slovakia 5 108 0.9× 131 1.4× 96 1.1× 45 0.5× 62 1.4× 14 293
Waverly Tseng United States 5 150 1.3× 105 1.1× 76 0.8× 108 1.3× 33 0.8× 6 348
Yanfang Su Hong Kong 4 185 1.6× 98 1.1× 78 0.9× 133 1.6× 33 0.8× 7 342
Yun Lin China 3 171 1.5× 92 1.0× 63 0.7× 129 1.6× 24 0.6× 6 302
Hyangeun Ji United States 4 101 0.9× 99 1.1× 64 0.7× 36 0.4× 38 0.9× 7 249

Countries citing papers authored by Darwin Darwin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Darwin Darwin

This figure shows the co-authorship network connecting the top 25 collaborators of Darwin Darwin. A scholar is included among the top collaborators of Darwin Darwin 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 Darwin Darwin. Darwin Darwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Marzuki, Marzuki, Diyenti Rusdin, Darwin Darwin, Hidayati Hidayati, & Inda Indrawati. (2025). Media education in EFL class: teachers’ challenges and students’ perspectives. Educational Media International. 62(2). 215–237. 1 indexed citations
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Darwin, Darwin, et al.. (2023). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education. 11(1). 90 indexed citations breakdown →
6.
Marzuki, Marzuki, Utami Widiati, Diyenti Rusdin, Darwin Darwin, & Inda Indrawati. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education. 10(2). 214 indexed citations breakdown →
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Dailey, Matthew N., Michael J. Lyons, Miyuki Kamachi, et al.. (2007). Cultural Differences in Facial Expression Classification. 2 indexed citations

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.

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