Eko Prasetyo

128 total papers · 606 total citations
64 papers, 415 citations indexed

About

Eko Prasetyo is a scholar working on Information Systems, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Eko Prasetyo has authored 64 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 18 papers in Artificial Intelligence and 9 papers in Water Science and Technology. Recurrent topics in Eko Prasetyo's work include Data Mining and Machine Learning Applications (14 papers), Edcuational Technology Systems (11 papers) and Water Quality Monitoring Technologies (9 papers). Eko Prasetyo is often cited by papers focused on Data Mining and Machine Learning Applications (14 papers), Edcuational Technology Systems (11 papers) and Water Quality Monitoring Technologies (9 papers). Eko Prasetyo collaborates with scholars based in Indonesia, Japan and United Kingdom. Eko Prasetyo's co-authors include Chastine Fatichah, Nanik Suciati, Tole Sutikno, Widiyatno Widiyatno, Tetsuya Matsui, Yoshihiko Tsumura, Yoshihisa Suyama, Sapto Indrioko, Ayumi Matsuo and Abdul Aziz Alimul Hidayat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Ecological Informatics.

In The Last Decade

Eko Prasetyo

56 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Eko Prasetyo 99 83 75 74 64 64 415
Xuliang Duan 106 1.1× 112 1.3× 73 1.0× 23 0.3× 65 1.0× 48 438
Shoffan Saifullah 182 1.8× 99 1.2× 57 0.8× 21 0.3× 107 1.7× 69 493
Shafaf Ibrahim 70 0.7× 116 1.4× 61 0.8× 21 0.3× 25 0.4× 64 396
Kamali Gupta 74 0.7× 46 0.6× 83 1.1× 23 0.3× 124 1.9× 48 481
M. M. Mahbubul Syeed 77 0.8× 31 0.4× 59 0.8× 84 1.1× 52 0.8× 40 436
Norliza Mohamed 58 0.6× 89 1.1× 69 0.9× 33 0.4× 29 0.5× 62 470
P. Subbulakshmi 87 0.9× 42 0.5× 57 0.8× 21 0.3× 46 0.7× 31 418
César A. Astudillo 69 0.7× 50 0.6× 65 0.9× 11 0.1× 39 0.6× 45 383
Ruber Hernández-García 87 0.9× 94 1.1× 153 2.0× 12 0.2× 26 0.4× 46 453
Sana Ullah Khan 146 1.5× 59 0.7× 50 0.7× 36 0.5× 54 0.8× 33 453

Countries citing papers authored by Eko Prasetyo

Since Specialization
Citations

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

Fields of papers citing papers by Eko Prasetyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eko Prasetyo

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