Ketut Agustini

797 citations
120 papers · 488 indexed · h-index 12
Topics
Educational Methods and Media Use (48 papers)STEM Education (30 papers)Technology-Enhanced Education Studies (26 papers)

In The Last Decade

Ketut Agustini

88 papers receiving 445 citations

Peers

Ketut Agustini
Comparison fields: 5 of 63
  • Education 305
  • Information Systems 219
  • Artificial Intelligence 74
  • Developmental and Educational Psychology 45
  • Applied Mathematics 37
Replace Zulherman Zulherman with:
Zulherman Zulherman Indonesia
Diana L. Owens United States
Dedy Irfan Indonesia
Ence Surahman Indonesia
Hardika Dwi Hermawan Indonesia
Dewa Gede Hendra Divayana Indonesia
Karen Hollebrands United States
Monther M. Elaish Libya
Muhammad Giatman Indonesia
Hollylynne S. Lee United States
Ketut Agustini relative to Zulherman Zulherman Indonesia Zulherman Zulherman's profile →
Citations per field
00.5×3.2×
Zulherman Zulherman · 1×
Citations per year

Countries citing papers authored by Ketut Agustini

Since Specialization
Citations

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

Fields of papers citing papers by Ketut Agustini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ketut Agustini

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

About Ketut Agustini

Ketut Agustini is a scholar working on Information Systems, Education and Applied Mathematics, having authored 120 papers that have together received 488 indexed citations. Recurring topics across this work include Educational Methods and Media Use (48 papers), STEM Education (30 papers) and Technology-Enhanced Education Studies (26 papers). The work is most often cited by research in Education (305 citations), Information Systems (219 citations) and Developmental and Educational Psychology (45 citations). Ketut Agustini has collaborated with scholars based in Indonesia, United States and India. Frequent co-authors include I Wayan Santyasa, Ni Made Ratminingsih, Nyoman Sugihartini, Made Windu Antara Kesiman, Gede Indrawan, Sariyasa Sariyasa, I Gde Wawan Sudatha, I Made Tegeh, Putu Sudira and Ni Nyoman Parwati. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Emerging Technologies in Learning (iJET) and International Journal of Instruction.

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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