Febri Prasetya

471 total citations
64 papers, 240 citations indexed

About

Febri Prasetya is a scholar working on Education, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Febri Prasetya has authored 64 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Education, 24 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Febri Prasetya's work include Technology-Enhanced Education Studies (11 papers), Blockchain Technology in Education and Learning (10 papers) and Educational Curriculum and Learning Methods (9 papers). Febri Prasetya is often cited by papers focused on Technology-Enhanced Education Studies (11 papers), Blockchain Technology in Education and Learning (10 papers) and Educational Curriculum and Learning Methods (9 papers). Febri Prasetya collaborates with scholars based in Indonesia, Lebanon and Spain. Febri Prasetya's co-authors include Agariadne Dwinggo Samala, Rizky Ema Wulansari, Syahril Syahril, Ganefri Ganefri, Soha Rawas, Rahmat Azis Nabawi, Santiago Criollo-C, Ljubiša Bojić, Muhammad Anwar and Waskito Waskito and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Scientific Data.

In The Last Decade

Febri Prasetya

42 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Febri Prasetya Indonesia 9 104 101 28 24 22 64 240
Rizky Ema Wulansari Indonesia 12 144 1.4× 173 1.7× 31 1.1× 21 0.9× 34 1.5× 51 325
Malinka Ivanova Bulgaria 8 86 0.8× 69 0.7× 45 1.6× 28 1.2× 27 1.2× 66 275
Yuh-Ming Cheng Taiwan 9 65 0.6× 84 0.8× 30 1.1× 32 1.3× 75 3.4× 25 265
Kathryn MacCallum New Zealand 8 90 0.9× 64 0.6× 38 1.4× 25 1.0× 27 1.2× 28 194
Valéria Farinazzo Martins Brazil 10 68 0.7× 59 0.6× 72 2.6× 67 2.8× 40 1.8× 63 259
Daina Gudonienė Lithuania 8 59 0.6× 58 0.6× 29 1.0× 20 0.8× 17 0.8× 28 157
Leonor Adriana Cárdenas-Robledo Mexico 6 77 0.7× 64 0.6× 62 2.2× 49 2.0× 28 1.3× 8 247
Pavlo P. Nechypurenko Ukraine 11 320 3.1× 168 1.7× 42 1.5× 15 0.6× 9 0.4× 43 401
Fairuz Iqbal Maulana Indonesia 8 64 0.6× 36 0.4× 36 1.3× 13 0.5× 9 0.4× 98 232
Viacheslav Osadchyi Ukraine 12 356 3.4× 198 2.0× 31 1.1× 16 0.7× 20 0.9× 99 520

Countries citing papers authored by Febri Prasetya

Since Specialization
Citations

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

Fields of papers citing papers by Febri Prasetya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Febri Prasetya

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

All Works

20 of 20 papers shown
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Prasetya, Febri, et al.. (2025). Artificial intelligence in personalized learning: A global systematic review of current advancements and shaping future opportunities. Social Sciences & Humanities Open. 12. 102114–102114.
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Prasetya, Febri, et al.. (2025). Harnessing artificial intelligence to revolutionize vocational education: Emerging trends, challenges, and contributions to SDGs 2030. Social Sciences & Humanities Open. 11. 101401–101401. 3 indexed citations
4.
Samala, Agariadne Dwinggo, et al.. (2024). Social Media in Education: Trends, Roles, Challenges, and Opportunities for Digital-Native Generations – A Systematic Literature Review. Asian Journal of University Education. 20(3). 524–539. 2 indexed citations
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Samala, Agariadne Dwinggo, et al.. (2024). Emerging Technologies for Global Education: A Comprehensive Exploration of Trends, Innovations, Challenges, and Future Horizons. SN Computer Science. 5(8). 18 indexed citations
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Ambiyar, Ambiyar, et al.. (2024). Effectiveness of Project-Based Learning in Metal Welding Technology Course with STEAM Approach in Vocational Education. SSRN Electronic Journal. 1 indexed citations
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Criollo-C, Santiago, et al.. (2024). Improving Higher Education With the Use of Mobile Augmented Reality (MAR): A Case Study. IEEE Access. 12. 139003–139017. 5 indexed citations
9.
Prasetya, Febri, Agariadne Dwinggo Samala, Soha Rawas, et al.. (2024). The Impact of Augmented Reality Learning Experiences Based on the Motivational Design Model: a Meta-analysis. SSRN Electronic Journal. 2 indexed citations
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Prasetya, Febri, et al.. (2023). Effectiveness of Distance Learning Computer Numerical Control Based on Virtual Laboratory Using a Metaverse Platform to Improve Students’ Cognitive Ability and Practice Skills. International Journal of Interactive Mobile Technologies (iJIM). 17(24). 4–21. 12 indexed citations
15.
Prasetya, Febri, et al.. (2023). Virtual Reality Adventures as an Effort to Improve the Quality of Welding Technology Learning During a Pandemic. International Journal of Online and Biomedical Engineering (iJOE). 19(2). 4–22. 35 indexed citations
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Prasetya, Febri, et al.. (2023). Pemodelan Kelas Curah Hujan Kota Samarinda Tahun 2010 - 2020. 1(2). 80–85.
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Hadi, Hadi, Ping Yowargana, Tobias Sturn, et al.. (2022). A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia. Scientific Data. 9(1). 574–574. 3 indexed citations
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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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