Hakkun Elmunsyah

94 total papers · 525 total citations
48 papers, 324 citations indexed

About

Hakkun Elmunsyah is a scholar working on Education, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hakkun Elmunsyah has authored 48 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Education, 15 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hakkun Elmunsyah's work include Technology-Enhanced Education Studies (14 papers), Educational Curriculum and Learning Methods (9 papers) and Vocational and Entrepreneurial Education (9 papers). Hakkun Elmunsyah is often cited by papers focused on Technology-Enhanced Education Studies (14 papers), Educational Curriculum and Learning Methods (9 papers) and Vocational and Entrepreneurial Education (9 papers). Hakkun Elmunsyah collaborates with scholars based in Indonesia, Malaysia and Brunei. Hakkun Elmunsyah's co-authors include Felix Andika Dwiyanto, Aji Prasetya Wibawa, Utomo Pujianto, Agung Bella Putra Utama, Muladi Muladi, Purnomo Purnomo, Wahyu Nur Hidayat, Sharifah Saon, Abd Kadir Mahamad and Sri Wiwoho Mudjanarko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and SN Applied Sciences.

In The Last Decade

Hakkun Elmunsyah

38 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Hakkun Elmunsyah 128 95 57 55 36 48 324
Pannee Suanpang 72 0.6× 48 0.5× 71 1.2× 60 1.1× 18 0.5× 38 365
Felix Andika Dwiyanto 37 0.3× 60 0.6× 53 0.9× 97 1.8× 11 0.3× 39 333
Zahid Hussain Khand 49 0.4× 26 0.3× 57 1.0× 54 1.0× 25 0.7× 23 283
Fei Xiao 40 0.3× 20 0.2× 76 1.3× 65 1.2× 35 1.0× 35 329
Amal A. Al-Shargabi 20 0.2× 39 0.4× 43 0.8× 70 1.3× 14 0.4× 38 325
Salaki Reynaldo Joshua 78 0.6× 116 1.2× 31 0.5× 25 0.5× 18 0.5× 34 318
Juanjuan Zhao 32 0.3× 42 0.4× 44 0.8× 48 0.9× 12 0.3× 38 364
Stephan Keßler 50 0.4× 34 0.4× 71 1.2× 71 1.3× 6 0.2× 45 294
Oriza Candra 125 1.0× 111 1.2× 65 1.1× 36 0.7× 23 0.6× 75 331
Adidah Lajis 36 0.3× 50 0.5× 50 0.9× 70 1.3× 8 0.2× 33 283

Countries citing papers authored by Hakkun Elmunsyah

Since Specialization
Citations

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

Fields of papers citing papers by Hakkun Elmunsyah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakkun Elmunsyah

This figure shows the co-authorship network connecting the top 25 collaborators of Hakkun Elmunsyah. A scholar is included among the top collaborators of Hakkun Elmunsyah 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 Hakkun Elmunsyah. Hakkun Elmunsyah 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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2026