Jun Hashimoto

867 citations
48 papers · 674 · h-index 14

Impact in

Papers in

Jun Hashimoto

44 papers receiving 654 citations

Peers

Jun Hashimoto
Comparison fields: 5 of 17
  • Control and Systems Engineering 261
  • Energy Engineering and Power Technology 20
  • Electrical and Electronic Engineering 189
  • Renewable Energy, Sustainability and the Environment 49
  • Artificial Intelligence 14
Replace Roland Bründlinger with:
Roland Bründlinger Austria
Arif Hussain South Korea
Masoud Farhoodnea Malaysia
Margo Pujiantara Indonesia
Arash Anzalchi United States
Peter Anuoluwapo Gbadega South Africa
Maziar Izadbakhsh Iran
Tahar Bahi Algeria
Obaid Alshammari Saudi Arabia
Jan von Appen Germany
Jun Hashimoto relative to Roland Bründlinger Austria Roland Bründlinger's profile →
Citations per field
00.5×2×3×4.2×
Roland Bründlinger · 1×
Citations per year

Countries citing papers authored by Jun Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Hashimoto Line = papers co-authored together Jun Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 202063
3 202162
4 201951
5 201433
6 202228
7 202023
8 202123
9 202223
10 202423
11 201722
12 202020
13 202020
14 202016
15 201814
16 202014
17 201212
18 201812
19 202212
20 201910

About Jun Hashimoto

Jun Hashimoto is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 674 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (19 papers), Real-time simulation and control systems (7 papers), Optimal Power Flow Distribution (5 papers), Solar Radiation and Photovoltaics (3 papers), solar cell performance optimization (2 papers), Power Quality and Harmonics (2 papers), Power Systems and Renewable Energy (1 paper) and Photovoltaic System Optimization Techniques (1 paper). The work is most often cited by research in Control and Systems Engineering (261 citations), Energy Engineering and Power Technology (20 citations), Electrical and Electronic Engineering (189 citations), Renewable Energy, Sustainability and the Environment (49 citations) and Artificial Intelligence (14 citations). Jun Hashimoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kenji Otani, Taha Selim Ustun, Hiroshi Kikusato, Yasuhiro Nakamura, Satoshi Miyazaki, Takashi Oozeki, Matthew Paul Muller, Teru Miyazaki, Sarah Kurtz and Dirk C. Jordan. Their work appears in journals such as Energies, Energy Reports, IEEE Access, Sustainability and Renewable Energy.

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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