Heru Supriyono

128 total papers · 564 total citations
82 papers, 341 citations indexed

About

Heru Supriyono is a scholar working on Information Systems, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Heru Supriyono has authored 82 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Information Systems, 24 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Heru Supriyono's work include Blockchain Technology in Education and Learning (22 papers), Edcuational Technology Systems (21 papers) and Information Retrieval and Data Mining (16 papers). Heru Supriyono is often cited by papers focused on Blockchain Technology in Education and Learning (22 papers), Edcuational Technology Systems (21 papers) and Information Retrieval and Data Mining (16 papers). Heru Supriyono collaborates with scholars based in Indonesia, United Kingdom and Malaysia. Heru Supriyono's co-authors include M. O. Tokhi, Endah Sudarmilah, Kun Harismah, Hanung Adi Nugroho, Mahmud Iwan Solihin, Steven R. Anton, Triyanto Triyanto and Rozita Jailani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Applications of Artificial Intelligence and Advanced Science Letters.

In The Last Decade

Heru Supriyono

66 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Heru Supriyono	175	105	61	37	35	82	341
Ramón García Martínez	147 0.8×	151 1.4×	19 0.3×	21 0.6×	21 0.6×	125	373
Jovani Alberto Jiménez Builes	102 0.6×	69 0.7×	36 0.6×	42 1.1×	11 0.3×	122	365
Agung Trisetyarso	167 1.0×	99 0.9×	52 0.9×	6 0.2×	25 0.7×	85	401
Emil R. Kaburuan	108 0.6×	105 1.0×	28 0.5×	6 0.2×	42 1.2×	77	382
Bastian Tenbergen	186 1.1×	100 1.0×	32 0.5×	24 0.6×	34 1.0×	44	307
Fitra Abdurrachman Bachtiar	128 0.7×	167 1.6×	31 0.5×	11 0.3×	13 0.4×	116	373
Dwi Ely Kurniawan	168 1.0×	103 1.0×	31 0.5×	5 0.1×	23 0.7×	53	310
Abdul Kadir	155 0.9×	85 0.8×	58 1.0×	31 0.8×	50 1.4×	100	380
Jéssyka Vilela	192 1.1×	106 1.0×	16 0.3×	15 0.4×	36 1.0×	49	316
Paolo Maresca	184 1.1×	68 0.6×	48 0.8×	30 0.8×	23 0.7×	50	361

Countries citing papers authored by Heru Supriyono

Since Specialization

Citations

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

Fields of papers citing papers by Heru Supriyono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heru Supriyono

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