Gede Indrawan

620 total citations
81 papers, 370 citations indexed

About

Gede Indrawan is a scholar working on Information Systems, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Gede Indrawan has authored 81 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Information Systems, 37 papers in Artificial Intelligence and 18 papers in Language and Linguistics. Recurrent topics in Gede Indrawan's work include Edcuational Technology Systems (21 papers), Data Mining and Machine Learning Applications (13 papers) and Natural Language Processing Techniques (13 papers). Gede Indrawan is often cited by papers focused on Edcuational Technology Systems (21 papers), Data Mining and Machine Learning Applications (13 papers) and Natural Language Processing Techniques (13 papers). Gede Indrawan collaborates with scholars based in Indonesia, Sri Lanka and Uzbekistan. Gede Indrawan's co-authors include Gede Rasben Dantes, Dewa Gede Hendra Divayana, Sariyasa Sariyasa, Saiful Akbar, Ketut Agustini, I Wayan Widiana, I Nyoman Jampel, ⁠I Made Candiasa, Anto Satriyo Nugroho and Benhard Sitohang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Advanced Computer Science and Applications and International Journal of Electrical and Computer Engineering (IJECE).

In The Last Decade

Gede Indrawan

62 papers receiving 330 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gede Indrawan Indonesia 9 187 166 65 49 49 81 370
Ketut Agustini Indonesia 12 74 0.4× 219 1.3× 19 0.3× 20 0.4× 305 6.2× 120 488
Phoey Lee Teh Malaysia 10 127 0.7× 42 0.3× 8 0.1× 22 0.4× 14 0.3× 40 256
Vivien Petras Germany 10 132 0.7× 181 1.1× 13 0.2× 36 0.7× 6 0.1× 60 348
Loïc Martínez Spain 9 63 0.3× 48 0.3× 8 0.1× 8 0.2× 50 1.0× 25 265
Hussein Suleman South Africa 12 116 0.6× 220 1.3× 5 0.1× 21 0.4× 124 2.5× 68 499
Renato Rocha Souza Brazil 8 87 0.5× 83 0.5× 17 0.3× 15 0.3× 13 0.3× 55 216
Heng Hou United Kingdom 3 38 0.2× 171 1.0× 19 0.3× 14 0.3× 54 1.1× 7 270
Gordon I. McCalla Canada 10 320 1.7× 125 0.8× 4 0.1× 30 0.6× 43 0.9× 30 472
Norman K. Sondheimer United States 11 319 1.7× 39 0.2× 29 0.4× 22 0.4× 5 0.1× 40 443
Olga Scrivner United States 5 32 0.2× 43 0.3× 16 0.2× 29 0.6× 31 0.6× 13 190

Countries citing papers authored by Gede Indrawan

Since Specialization
Citations

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

Fields of papers citing papers by Gede Indrawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gede Indrawan

This figure shows the co-authorship network connecting the top 25 collaborators of Gede Indrawan. A scholar is included among the top collaborators of Gede Indrawan 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 Gede Indrawan. Gede Indrawan 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
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Indrawan, Gede, et al.. (2025). Teacher’s Readiness Toward Artificial Intelligence in The School of North Bali. Jurnal Paedagogy. 12(1). 23–23.
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Indrawan, Gede, et al.. (2023). Expert System Using Certainty Factor Method For Adjustment Of Learning Styles With Students. Journal Of Computer Networks Architecture and High Performance Computing. 5(1). 171–181.
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Indrawan, Gede, et al.. (2022). Perancangan Tampilan Aplikasi Pembelajaran Pinandita dengan Metode Five Planes, Heuristic Evaluation, Concurrent Think Aloud, Serta Cognitive Walkthrough. JURIKOM (Jurnal Riset Komputer). 9(1). 93–93. 3 indexed citations
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Indrawan, Gede, et al.. (2022). Multi-class SVM Classification Comparison for Health Service Satisfaction Survey Data in Bahasa. HighTech and Innovation Journal. 3(4). 425–442. 3 indexed citations
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Indrawan, Gede, et al.. (2022). The Evaluation of the Academic Progress Information System SIsKA-NG Mobile Based on Heuristic and User Experience. International Journal of Modern Education and Computer Science. 14(2). 55–64.
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Indrawan, Gede, et al.. (2021). A Method for Scriptio Continua Management on the Transliteration to the Balinese Script. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(6). 4182–4191. 1 indexed citations
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Dantes, Gede Rasben, et al.. (2020). TINGKAT KEMATANGAN E-GOVERNMENT RSUD WANGAYA MENGGUNAKAN SPBE 2018. 6(3). 1 indexed citations
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Divayana, Dewa Gede Hendra, et al.. (2020). Analisis Sentimen Dokumen Twitter Mengenai Dampak Virus Corona Menggunakan Metode Naive Bayes Classifier. 15(1). 27–29. 41 indexed citations
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Indrawan, Gede, et al.. (2019). KOTAK-KONTAK PINTAR PADA RUMAH CERDAS BERBASIS TEKNOLOGI INTERNET OF THINGS. Jurnal Pendidikan Teknologi dan Kejuruan. 16(2). 278–278. 1 indexed citations
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Indrawan, Gede, et al.. (2014). On analyzing of fingerprint direct-access strategies. e84 d. 1–6. 5 indexed citations

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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