Tata Sutabri

1.8k total citations · 1 hit paper
117 papers, 926 citations indexed

About

Tata Sutabri is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Tata Sutabri has authored 117 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Information Systems, 53 papers in Artificial Intelligence and 24 papers in Management Information Systems. Recurrent topics in Tata Sutabri's work include Edcuational Technology Systems (48 papers), Blockchain Technology in Education and Learning (36 papers) and Information Retrieval and Data Mining (33 papers). Tata Sutabri is often cited by papers focused on Edcuational Technology Systems (48 papers), Blockchain Technology in Education and Learning (36 papers) and Information Retrieval and Data Mining (33 papers). Tata Sutabri collaborates with scholars based in Indonesia, Malaysia and India. Tata Sutabri's co-authors include Edi Surya Negara, Darmawan Napitupulu, Ismaïl Khalil, Syopiansyah Jaya Putra, Phong Thanh Nguyen, Wahidah Hashim, Zulkarnain Zulkarnain, K. Shankar, Ismi Rajiani and Robbi Rahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Machine Learning and Computing and Journal of Southwest Jiaotong University.

In The Last Decade

Tata Sutabri

77 papers receiving 730 citations

Hit Papers

Analisis SIstem Informasi 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tata Sutabri Indonesia 9 696 480 375 103 54 117 926
Janner Simarmata Indonesia 13 404 0.6× 259 0.5× 211 0.6× 39 0.4× 38 0.7× 52 628
Johanes Fernandes Andry Indonesia 13 379 0.5× 159 0.3× 191 0.5× 106 1.0× 81 1.5× 149 687
Setiawansyah Setiawansyah Indonesia 17 508 0.7× 279 0.6× 199 0.5× 39 0.4× 102 1.9× 84 720
Alfiah Khoirunisa Indonesia 17 480 0.7× 150 0.3× 101 0.3× 78 0.8× 22 0.4× 34 709
Rohmat Taufiq Indonesia 9 389 0.6× 210 0.4× 179 0.5× 40 0.4× 30 0.6× 50 484
I Made Sukarsa Indonesia 11 258 0.4× 170 0.4× 89 0.2× 66 0.6× 29 0.5× 121 468
Sandy Kosasi Indonesia 12 288 0.4× 119 0.2× 122 0.3× 60 0.6× 29 0.5× 113 486
Agung Triayudi Indonesia 11 381 0.5× 272 0.6× 96 0.3× 28 0.3× 29 0.5× 163 532
Evi Triandini Indonesia 12 284 0.4× 128 0.3× 75 0.2× 60 0.6× 17 0.3× 53 580
Fitra Putri Oganda Indonesia 18 403 0.6× 106 0.2× 67 0.2× 77 0.7× 28 0.5× 46 695

Countries citing papers authored by Tata Sutabri

Since Specialization
Citations

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

Fields of papers citing papers by Tata Sutabri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tata Sutabri

This figure shows the co-authorship network connecting the top 25 collaborators of Tata Sutabri. A scholar is included among the top collaborators of Tata Sutabri 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 Tata Sutabri. Tata Sutabri 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
3.
Sutabri, Tata, et al.. (2024). White Blood Cell Classification Using SMOTE-SVM Method with Hybrid Feature Extraction and Image Segmentation Using Gaussian Mixture Model. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 19(1). 75–87.
7.
Sutabri, Tata, et al.. (2023). Rancang Bangun Aplikasi MusikMe Kursus Privat Musik berbasis Android. SHILAP Revista de lepidopterología. 9(2). 743–755. 1 indexed citations
8.
Sutabri, Tata, et al.. (2023). Analisis Manajemen Pelayanan Teknologi Informasi Menggunakan Framework Itil Versi 3 Pada Unit Operasional. Journal of Comprehensive Science (JCS). 2(1). 344–348.
10.
Sutabri, Tata, et al.. (2023). Perancangan UI/UX Aplikasi Sistem Informasi Layanan Administrasi dalam Perspektif Psikologi Menggunakan Metode Prototype. SHILAP Revista de lepidopterología. 9(2). 1088–1103.
12.
Sutabri, Tata, et al.. (2023). Penerapan Metode SDLC (System Development Life Cycle) Waterfall Pada Perancangan Aplikasi Belanja Online Berbasis Android Pada CV Widi Agro. INTECOMS Journal of Information Technology and Computer Science. 6(2). 1202–1210. 1 indexed citations
13.
Sutabri, Tata, et al.. (2023). Meningkatkan Budaya Kuliner Lemang Di Era Society 5.0. 2(1). 46–52.
16.
Sutabri, Tata, et al.. (2023). Implementasi Metode Design Thinking pada Perancangan UI/UX Aplikasi Logbook Magang dalam Perspektif Sosiologi. SHILAP Revista de lepidopterología. 9(2). 1020–1034. 1 indexed citations
17.
Sutabri, Tata, et al.. (2023). Analisis layanan RF Mobile menggunakan COBIT Domain Deliver and Support (DS). 1(2). 141–145. 1 indexed citations
18.
Sutabri, Tata, et al.. (2023). PERBANDINGAN ALGORITMA NAÏVE BAYES DAN SVM UNTUK ANALISIS PENYALAHGUNAAN KEJAHATAN CARDING. Jurnal Informatika Teknologi dan Sains (Jinteks). 5(1). 18–24.
19.

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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