Agus Rusgiyono

405 citations
83 papers · 229 indexed · h-index 8
Topics
Data Mining and Machine Learning Applications (33 papers)Economic Growth and Fiscal Policies (25 papers)Management and Optimization Techniques (21 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Pediatric Gastroenterology and NutritionJournal of Physics Conference Series
Partner nations
IndonesiaBelgium

In The Last Decade

Agus Rusgiyono

63 papers receiving 204 citations

Peers

Agus Rusgiyono
Comparison fields: 5 of 67
  • Information Systems 68
  • Economics and Econometrics 62
  • Strategy and Management 39
  • General Agricultural and Biological Sciences 33
  • Artificial Intelligence 33
Replace Abdul Hoyyi with:
Abdul Hoyyi Indonesia
Lusiana Lusiana Indonesia
Fadli Fadli Indonesia
Achmad Daengs GS Indonesia
Indarto Indarto Indonesia
Pardomuan Robinson Sihombing Indonesia
Muhammad Zaini Indonesia
Hermawan Hermawan Indonesia
Gita Widi Bhawika Indonesia
Zamzami Zamzami Indonesia
Agus Rusgiyono relative to Abdul Hoyyi Indonesia Abdul Hoyyi's profile →
Citations per field
00.5×4.5×
Abdul Hoyyi · 1×
Citations per year

Countries citing papers authored by Agus Rusgiyono

Since Specialization
Citations

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

Fields of papers citing papers by Agus Rusgiyono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agus Rusgiyono

This figure shows the co-authorship network connecting the top 25 collaborators of Agus Rusgiyono. A scholar is included among the top collaborators of Agus Rusgiyono 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 Agus Rusgiyono. Agus Rusgiyono 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
1 1
2 1
3 4
4 10
5 1
6 0
7 7
8 1
9 2
10 7
11 6
12 26
13 2
14 1
15 3
16 1
17 1
18 1
19 0
20 1

About Agus Rusgiyono

Agus Rusgiyono is a scholar working on Information Systems, Strategy and Management and Economics and Econometrics, having authored 83 papers that have together received 229 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (33 papers), Economic Growth and Fiscal Policies (25 papers) and Management and Optimization Techniques (21 papers). The work is most often cited by research in General Agricultural and Biological Sciences (33 citations), Information Systems (68 citations) and Accounting (30 citations). Agus Rusgiyono has collaborated with scholars based in Indonesia and Belgium. Frequent co-authors include Alan Prahutama, Hasbi Yasin, Budi Warsito, Rita Rahmawati, Abdul Hoyyi, Mustafid Mustafid, Sugito Sugito, Sudarno Sudarno, Arief Rachman Hakim and Muhammad Ilham. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Pediatric Gastroenterology and Nutrition and Journal of Physics Conference Series.

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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