Eko Prasetyo
- Information Systems top 1%
- Artificial Intelligence top 5%
- Management Information Systems top 10%
- Health Information Management top 10%
- Computer Science Applications top 10%
- Co-authors
- Hsing‐Chung ChenChien‐Erh WengShian‐Shyong TsengKarisma Trinanda PutraLukito Edi NugrohoPrayitno PrayitnoSri Suning KusumawardaniSlamet Riyadi
- Topics
- Multimedia Learning Systems (6 papers)Computer Science and Engineering (4 papers)Decision Support System Applications (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Sciences
In The Last Decade
Eko Prasetyo
16 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Information Systems 478
- Artificial Intelligence 364
- Management Information Systems 46
- Health Information Management 24
- Computer Science Applications 24
Countries citing papers authored by Eko Prasetyo
This map shows the geographic impact of Eko Prasetyo'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 Eko Prasetyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eko Prasetyo more than expected).
Fields of papers citing papers by Eko Prasetyo
This network shows the impact of papers produced by Eko Prasetyo. 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 Eko Prasetyo. The network helps show where Eko Prasetyo may publish in the future.
Co-authorship network of co-authors of Eko Prasetyo
This figure shows the co-authorship network connecting the top 25 collaborators of Eko Prasetyo. A scholar is included among the top collaborators of Eko Prasetyo 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 Eko Prasetyo. Eko Prasetyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 37 | |
| 13 | 4 | |
| 14 | Pembangunan Sistem Metadata Sebagai Informasi Data dalam Pembuatan Data Mart pada Pangkalan Data Mahasiswa di Universitas Muhammadiyah Yogyakarta | 1 |
| 15 | DATA MINING Mengolah Data Menjadi Informasi Menggunakan Matlab | 162 |
| 16 | 9 | |
| 17 | Data Mining : Konsep dan Aplikasi Menggunakan MATLABbreakdown → | 341 |
| 18 | Pemrograman web PhP & MySQL untuk sistem informasi perpustakaan | 3 |
About Eko Prasetyo
Eko Prasetyo is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 18 papers that have together received 606 indexed citations. Recurring topics across this work include Multimedia Learning Systems (6 papers), Computer Science and Engineering (4 papers) and Decision Support System Applications (3 papers). The work is most often cited by research in Information Systems (478 citations), Artificial Intelligence (364 citations) and Management Information Systems (46 citations). Eko Prasetyo has collaborated with scholars based in Indonesia, Taiwan and Japan. Frequent co-authors include Hsing‐Chung Chen, Chien‐Erh Weng, Shian‐Shyong Tseng, Karisma Trinanda Putra, Lukito Edi Nugroho, Prayitno Prayitno, Sri Suning Kusumawardani, Slamet Riyadi, Dwi Arman Prasetya and Tzu-Liang Kung. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.
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.