Sunyono Sunyono

122 total papers · 865 total citations
67 papers, 456 citations indexed

About

Sunyono Sunyono is a scholar working on Education, Information Systems and Applied Mathematics. According to data from OpenAlex, Sunyono Sunyono has authored 67 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Education, 10 papers in Information Systems and 8 papers in Applied Mathematics. Recurrent topics in Sunyono Sunyono's work include STEM Education (44 papers), Educational Methods and Outcomes (41 papers) and Education and Character Development (16 papers). Sunyono Sunyono is often cited by papers focused on STEM Education (44 papers), Educational Methods and Outcomes (41 papers) and Education and Character Development (16 papers). Sunyono Sunyono collaborates with scholars based in Indonesia and Singapore. Sunyono Sunyono's co-authors include Sudjarwo Sudjarwo, Muslimin Ibrahim, Leny Yuanita, Abdurrahman Abdurrahman, Dwi Yulianti, Yunisca Nurmalisa, ⁠Undang Rosidin, Siti Marfuah, Noor Fadiawati and Herpratiwi Herpratiwi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Baltic Science Education and International Journal of Information and Education Technology.

In The Last Decade

Sunyono Sunyono

51 papers receiving 434 citations

Hit Papers

Asia-Pacific Forum on Sci... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sunyono Sunyono 381 112 67 55 42 67 456
Sudjarwo Sudjarwo 307 0.8× 103 0.9× 51 0.8× 55 1.0× 41 1.0× 84 427
Mihye Won 287 0.8× 201 1.8× 55 0.8× 49 0.9× 73 1.7× 38 511
Ercan Akpınar 308 0.8× 118 1.1× 121 1.8× 28 0.5× 36 0.9× 46 469
Pınar Çavaş 320 0.8× 101 0.9× 34 0.5× 69 1.3× 33 0.8× 27 424
Gökhan Demircioğlu 432 1.1× 149 1.3× 36 0.5× 28 0.5× 37 0.9× 39 487
Jennifer Wilhelm 390 1.0× 145 1.3× 35 0.5× 35 0.6× 48 1.1× 43 478
Karen Murcia 383 1.0× 147 1.3× 114 1.7× 51 0.9× 30 0.7× 47 481
Deborah Corrigan 387 1.0× 117 1.0× 34 0.5× 37 0.7× 18 0.4× 48 510
Rebecca Hite 212 0.6× 85 0.8× 57 0.9× 48 0.9× 53 1.3× 61 427
Bing Wei 397 1.0× 162 1.4× 34 0.5× 28 0.5× 31 0.7× 56 453

Countries citing papers authored by Sunyono Sunyono

Since Specialization
Citations

This map shows the geographic impact of Sunyono Sunyono'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 Sunyono Sunyono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunyono Sunyono more than expected).

Fields of papers citing papers by Sunyono Sunyono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunyono Sunyono. 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 Sunyono Sunyono. The network helps show where Sunyono Sunyono may publish in the future.

Co-authorship network of co-authors of Sunyono Sunyono

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

All Works

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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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