Eka Prasetyono

463 total citations
44 papers, 336 citations indexed

About

Eka Prasetyono is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, Eka Prasetyono has authored 44 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 14 papers in Renewable Energy, Sustainability and the Environment and 12 papers in Artificial Intelligence. Recurrent topics in Eka Prasetyono's work include Photovoltaic System Optimization Techniques (14 papers), Engineering and Technology Innovations (13 papers) and Solar Radiation and Photovoltaics (11 papers). Eka Prasetyono is often cited by papers focused on Photovoltaic System Optimization Techniques (14 papers), Engineering and Technology Innovations (13 papers) and Solar Radiation and Photovoltaics (11 papers). Eka Prasetyono collaborates with scholars based in Indonesia, United States and Malaysia. Eka Prasetyono's co-authors include Novie Ayub Windarko, Dimas Okky Anggriawan, Makbul A.M. Ramli, Khaled Sedraoui, Yusuf Al‐Turki, Anang Tjahjono, Farid Dwi Murdianto, Bambang Sumantri, Taufik Taufik and Aji Akbar Firdaus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Energies.

In The Last Decade

Eka Prasetyono

39 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eka Prasetyono Indonesia 9 218 183 113 51 40 44 336
Heinrich Häberlin Switzerland 9 208 1.0× 196 1.1× 86 0.8× 65 1.3× 13 0.3× 17 326
Alexander Zolan United States 8 91 0.4× 68 0.4× 30 0.3× 45 0.9× 12 0.3× 30 186
Sai Tatapudi United States 11 236 1.1× 361 2.0× 105 0.9× 12 0.2× 12 0.3× 42 429
Joseph Kuitche United States 14 269 1.2× 451 2.5× 129 1.1× 16 0.3× 17 0.4× 35 547
Jesus Beyza Spain 12 228 1.0× 37 0.2× 13 0.1× 112 2.2× 27 0.7× 25 420
Y. H. Wan China 9 246 1.1× 63 0.3× 58 0.5× 58 1.1× 5 0.1× 19 312
Mahesh Morjaria United States 6 149 0.7× 121 0.7× 87 0.8× 149 2.9× 9 0.2× 9 276
Suman Chowdhury Bangladesh 11 342 1.6× 182 1.0× 117 1.0× 208 4.1× 3 0.1× 60 466
Ihsan Ullah Khalil Pakistan 10 180 0.8× 159 0.9× 77 0.7× 62 1.2× 3 0.1× 31 306
Haoyin Ye China 6 294 1.3× 212 1.2× 85 0.8× 79 1.5× 3 0.1× 7 358

Countries citing papers authored by Eka Prasetyono

Since Specialization
Citations

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

Fields of papers citing papers by Eka Prasetyono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eka Prasetyono

This figure shows the co-authorship network connecting the top 25 collaborators of Eka Prasetyono. A scholar is included among the top collaborators of Eka Prasetyono 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 Eka Prasetyono. Eka Prasetyono 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
1.
Anggriawan, Dimas Okky, et al.. (2024). Real-Time Detection of Power Quality Disturbance Using Fast Fourier Transform and Adaptive Neuro-Fuzzy Inference System. SHILAP Revista de lepidopterología. 20(1). 1 indexed citations
2.
Prasetyono, Eka, et al.. (2024). Multi-step constant current-constant voltage charging method to improve CC-CV method on lead acid batteries. TELKOMNIKA (Telecommunication Computing Electronics and Control). 22(6). 1564–1564. 1 indexed citations
3.
4.
Anggriawan, Dimas Okky, et al.. (2021). Series Arc Fault Breaker in Low Voltage Using Microcontroller Based on Fast Fourier Transform. SHILAP Revista de lepidopterología. 9(2). 239–251. 4 indexed citations
5.
Anggriawan, Dimas Okky, et al.. (2021). Real Time Harmonic Load Identification Based on Fast Fourier Transform and Artificial Neural Network. International Review of Electrical Engineering (IREE). 16(3). 220–220. 1 indexed citations
6.
Windarko, Novie Ayub, et al.. (2021). A New MPPT Algorithm for Photovoltaic Power Generation under Uniform and Partial Shading Conditions. Energies. 14(2). 483–483. 24 indexed citations
7.
Prasetyono, Eka, et al.. (2020). Constant Power Generation Using Modified MPPT P&O to Overcome Overvoltage on Solar Power Plants. 392–397. 8 indexed citations
8.
Tjahjono, Anang, et al.. (2020). Modified Grey Wolf Optimization for Maximum Power Point Tracking in Photovoltaic System under Partial Shading Conditions. International Journal on Electrical Engineering and Informatics. 12(1). 94–104. 8 indexed citations
9.
Windarko, Novie Ayub, et al.. (2020). Simulator Panel Surya Ekonomis untuk Pengujian MPPT pada Kondisi Berbayang Sebagian (Low Cost PV Photovoltaic Simulator for MPPT Testing under Partial Shading). SHILAP Revista de lepidopterología. 9(1). 110–115. 4 indexed citations
10.
Windarko, Novie Ayub, et al.. (2020). Prototipe Power Supply Gate driver untuk Multilevel Inverter dengan Menggunakan Flyback Converter Multi Output. SHILAP Revista de lepidopterología. 19(1). 33–42. 1 indexed citations
11.
Prasetyono, Eka, et al.. (2020). Real Time State of Charge Estimation for Lead Acid Battery Using Artificial Neural Network. 363–368. 4 indexed citations
12.
Anggriawan, Dimas Okky, et al.. (2020). Detection and Identification of Voltage Variation Events Based on Artificial Neural Network. International Review of Automatic Control (IREACO). 13(5). 224–224. 1 indexed citations
13.
Prasetyono, Eka, et al.. (2020). Performance of ACO-MPPT and Constant Voltage Method for Street Lighting Charging System. International Review of Electrical Engineering (IREE). 15(3). 235–235. 2 indexed citations
14.
Anggriawan, Dimas Okky, et al.. (2020). Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time. SHILAP Revista de lepidopterología. 16(1). 2 indexed citations
15.
16.
Anggriawan, Dimas Okky, et al.. (2019). Load Identification Using Harmonic Based on Probabilistic Neural Network. SHILAP Revista de lepidopterología. 7(1). 71–82. 1 indexed citations
17.
Anggriawan, Dimas Okky, et al.. (2016). Maximum power point tracking of photovoltaic module for battery charging based on modified firefly algorithm. 29. 238–243. 11 indexed citations
18.
Prasetyono, Eka, et al.. (2015). Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Prasetyono, Eka, et al.. (2015). Studi Komparasi Fungsi Keanggotaan Fuzzy sebagai Kontroler Bidirectional DC-DC Converter pada Sistem Penyimpan Energi. SHILAP Revista de lepidopterología. 4(2). 172–172. 1 indexed citations
20.
Prasetyono, Eka, et al.. (2015). Studi Komparasi Fungsi Keanggotaan Fuzzy sebagai Kontroler Bidirectional DC-DC Converter pada Sistem Penyimpan Energi. Jurnal Nasional Teknik Elektro. 4(2). 172–181. 1 indexed citations

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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