Edi Sutoyo

697 citations
76 papers · 434 indexed · h-index 12
Topics
Data Mining and Machine Learning Applications (16 papers)Multimedia Learning Systems (14 papers)Edcuational Technology Systems (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEMultimedia Tools and Applications

In The Last Decade

Edi Sutoyo

57 papers receiving 411 citations

Peers

Edi Sutoyo
Comparison fields: 5 of 94
  • Information Systems 211
  • Artificial Intelligence 159
  • Sociology and Political Science 46
  • Education 41
  • Computer Science Applications 35
Replace Anushree Agrawal with:
Anushree Agrawal India
Nidal A. Al-Dmour Jordan
Emilio Serrano Spain
Ana Almeida Portugal
Triyanna Widiyaningtyas Indonesia
Robert P. Biuk‐Aghai Macao
Mohammed Al Achhab Morocco
Renuka Sindhgatta India
Anne Kao United States
Hindriyanto Dwi Purnomo Indonesia
Edi Sutoyo relative to Anushree Agrawal India Anushree Agrawal's profile →
Citations per field
00.5×
Anushree Agrawal · 1×
Citations per year

Countries citing papers authored by Edi Sutoyo

Since Specialization
Citations

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

Fields of papers citing papers by Edi Sutoyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edi Sutoyo

This figure shows the co-authorship network connecting the top 25 collaborators of Edi Sutoyo. A scholar is included among the top collaborators of Edi Sutoyo 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 Edi Sutoyo. Edi Sutoyo 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
#WorkIndexed citations
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6 12
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ANALISIS DAN DETEKSI FRAUD PADA DATA PANGGILAN MENGGUNAKAN ALGORITMA DECISION TREE PADA PT XYZ
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Analisis Dan Deteksi Fraud Pada Data Panggilan Menggunakan Algoritma K-nearest Neighbor (studi Kasus: Pt Xyz)
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13 8
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About Edi Sutoyo

Edi Sutoyo is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence, having authored 76 papers that have together received 434 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (16 papers), Multimedia Learning Systems (14 papers) and Edcuational Technology Systems (7 papers). The work is most often cited by research in Information Systems (211 citations), Computer Science Applications (35 citations) and Artificial Intelligence (159 citations). Edi Sutoyo has collaborated with scholars based in Indonesia, Malaysia and Netherlands. Frequent co-authors include Muhammad Azani Hasibuan, Iwan Tri Riyadi Yanto, Tutut Herawan, Rd. Rohmat Saedudin, Anhar Risnumawan, Suraya Hamid, Arif Ullah, Muhammad Aamir, Nazri Mohd Nawi and Muharman Lubis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Multimedia Tools and Applications.

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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