Adi Supriyatna

65 total papers · 538 total citations
34 papers, 364 citations indexed

About

Adi Supriyatna is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Adi Supriyatna has authored 34 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 19 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in Adi Supriyatna's work include Edcuational Technology Systems (17 papers), Multimedia Learning Systems (13 papers) and Information Retrieval and Data Mining (12 papers). Adi Supriyatna is often cited by papers focused on Edcuational Technology Systems (17 papers), Multimedia Learning Systems (13 papers) and Information Retrieval and Data Mining (12 papers). Adi Supriyatna collaborates with scholars based in Indonesia, India and China. Adi Supriyatna's co-authors include Syamsul Bahri, Suharyanto Suharyanto, Yoyon Efendi, Agus Perdana Windarto, Ruhul Amin, Mochamad Wahyudi, Muhammad Fahmi, Herlawati Herlawati, Adjat Sudradjat and Hetty Rohayani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and IOP Conference Series Materials Science and Engineering.

In The Last Decade

Adi Supriyatna

29 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Adi Supriyatna 267 155 65 35 31 34 364
Joan Angelina Widians 217 0.8× 155 1.0× 59 0.9× 21 0.6× 39 1.3× 59 329
Qadhli Jafar Adrian 260 1.0× 176 1.1× 98 1.5× 37 1.1× 13 0.4× 28 369
Indah Fitri Astuti 237 0.9× 166 1.1× 90 1.4× 35 1.0× 20 0.6× 67 330
Awang Harsa Kridalaksana 207 0.8× 142 0.9× 56 0.9× 34 1.0× 17 0.5× 50 375
Styawati Styawati 206 0.8× 139 0.9× 51 0.8× 14 0.4× 15 0.5× 33 299
Herlawati Herlawati 166 0.6× 74 0.5× 28 0.4× 72 2.1× 73 2.4× 78 335
Leon Andretti Abdillah 136 0.5× 73 0.5× 82 1.3× 58 1.7× 52 1.7× 74 305
Yusra Fernando 252 0.9× 192 1.2× 84 1.3× 22 0.6× 26 0.8× 35 338
Yana Aditia Gerhana 179 0.7× 189 1.2× 101 1.6× 20 0.6× 6 0.2× 50 303
Rosa Delima 206 0.8× 78 0.5× 38 0.6× 35 1.0× 24 0.8× 58 298

Countries citing papers authored by Adi Supriyatna

Since Specialization
Citations

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

Fields of papers citing papers by Adi Supriyatna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adi Supriyatna

This figure shows the co-authorship network connecting the top 25 collaborators of Adi Supriyatna. A scholar is included among the top collaborators of Adi Supriyatna 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 Adi Supriyatna. Adi Supriyatna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026