Andri Suprayogi

147 total papers · 632 total citations
111 papers, 384 citations indexed

About

Andri Suprayogi is a scholar working on Artificial Intelligence, Information Systems and Management, Monitoring, Policy and Law. According to data from OpenAlex, Andri Suprayogi has authored 111 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 37 papers in Information Systems and 26 papers in Management, Monitoring, Policy and Law. Recurrent topics in Andri Suprayogi's work include Edcuational Technology Systems (31 papers), Decision Support System Applications (21 papers) and Data Mining and Machine Learning Applications (19 papers). Andri Suprayogi is often cited by papers focused on Edcuational Technology Systems (31 papers), Decision Support System Applications (21 papers) and Data Mining and Machine Learning Applications (19 papers). Andri Suprayogi collaborates with scholars based in Indonesia. Andri Suprayogi's co-authors include Haniah Haniah, Bandi Sasmito, Arwan Putra Wijaya, Arief Laila Nugraha, Sawitri Subiyanto, Moehammad Awaluddin, Bambang Darmo Yuwono, Yudo Prasetyo, Bambang Sudarsono and Abdi Sukmono and has published in prestigious journals such as SHILAP Revista de lepidopterología, IOP Conference Series Earth and Environmental Science and KnE Engineering.

In The Last Decade

Andri Suprayogi

90 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Andri Suprayogi	145	120	60	56	55	111	384
Bandi Sasmito	109 0.8×	148 1.2×	44 0.7×	47 0.8×	58 1.1×	124	423
Arief Laila Nugraha	152 1.0×	120 1.0×	92 1.5×	62 1.1×	32 0.6×	123	408
Yudo Prasetyo	58 0.4×	83 0.7×	33 0.6×	38 0.7×	40 0.7×	128	383
Deasy Arisanty	72 0.5×	56 0.5×	29 0.5×	77 1.4×	47 0.9×	145	432
Sri Rum Giyarsih	42 0.3×	65 0.5×	12 0.2×	129 2.3×	43 0.8×	105	442
Djati Mardiatno	41 0.3×	97 0.8×	28 0.5×	68 1.2×	18 0.3×	83	437
Sudarmadji Sudarmadji	39 0.3×	74 0.6×	24 0.4×	60 1.1×	30 0.5×	116	413
Muhammad Helmi	32 0.2×	80 0.7×	10 0.2×	32 0.6×	43 0.8×	84	381
Trias Aditya	42 0.3×	35 0.3×	29 0.5×	24 0.4×	12 0.2×	63	355
Muhammad Baiquni	27 0.2×	75 0.6×	12 0.2×	162 2.9×	81 1.5×	83	363

Countries citing papers authored by Andri Suprayogi

Since Specialization

Citations

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

Fields of papers citing papers by Andri Suprayogi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andri Suprayogi

This figure shows the co-authorship network connecting the top 25 collaborators of Andri Suprayogi. A scholar is included among the top collaborators of Andri Suprayogi 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 Andri Suprayogi. Andri Suprayogi 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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