Waskito Waskito

159 total papers · 844 total citations
85 papers, 484 citations indexed

About

Waskito Waskito is a scholar working on Education, Information Systems and Artificial Intelligence. According to data from OpenAlex, Waskito Waskito has authored 85 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Education, 24 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Waskito Waskito's work include Educational Curriculum and Learning Methods (22 papers), Technology-Enhanced Education Studies (15 papers) and Educational Methods and Media Use (10 papers). Waskito Waskito is often cited by papers focused on Educational Curriculum and Learning Methods (22 papers), Technology-Enhanced Education Studies (15 papers) and Educational Methods and Media Use (10 papers). Waskito Waskito collaborates with scholars based in Indonesia, Nigeria and Kazakhstan. Waskito Waskito's co-authors include Nizwardi Jalinus, Agariadne Dwinggo Samala, Novi Hendri Adi, Yose Indarta, Afif Rahman Riyanda, Ambiyar Ambiyar, Fahmi Rizal, Ronal Watrianthos, Rizky Ema Wulansari and Muhammad Giatman and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Instruction and International Journal of Interactive Mobile Technologies (iJIM).

In The Last Decade

Waskito Waskito

49 papers receiving 449 citations

Hit Papers

Relevansi Kurikulum Merde... 2022 2026 2023 2024 2022 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
Waskito Waskito 364 111 17 15 12 85 484
Pardjono Pardjono 369 1.0× 96 0.9× 23 1.4× 18 1.2× 3 0.3× 55 450
Fahmi Rizal 242 0.7× 144 1.3× 23 1.4× 21 1.4× 5 0.4× 91 418
Rina Maryanti 216 0.6× 90 0.8× 13 0.8× 16 1.1× 35 2.9× 53 519
Alias Masek 363 1.0× 90 0.8× 20 1.2× 31 2.1× 21 1.8× 68 485
Sri Sumarni 309 0.8× 171 1.5× 31 1.8× 25 1.7× 3 0.3× 86 442
Himawan Putranta 429 1.2× 92 0.8× 20 1.2× 66 4.4× 12 1.0× 53 539
Harry Firman 436 1.2× 83 0.7× 32 1.9× 12 0.8× 4 0.3× 80 519
Maizam Alias 258 0.7× 44 0.4× 13 0.8× 15 1.0× 19 1.6× 53 432
Sajidan 292 0.8× 65 0.6× 24 1.4× 17 1.1× 6 0.5× 82 501
Marlia Puteh 267 0.7× 112 1.0× 24 1.4× 24 1.6× 7 0.6× 50 435

Countries citing papers authored by Waskito Waskito

Since Specialization
Citations

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

Fields of papers citing papers by Waskito Waskito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waskito Waskito

This figure shows the co-authorship network connecting the top 25 collaborators of Waskito Waskito. A scholar is included among the top collaborators of Waskito Waskito 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 Waskito Waskito. Waskito Waskito 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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