Akinobu Murata

1.1k total citations
35 papers, 916 citations indexed

About

Akinobu Murata is a scholar working on Electrical and Electronic Engineering, Environmental Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Akinobu Murata has authored 35 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 8 papers in Environmental Engineering and 6 papers in Energy Engineering and Power Technology. Recurrent topics in Akinobu Murata's work include Smart Grid Energy Management (12 papers), Energy Load and Power Forecasting (8 papers) and Optimal Power Flow Distribution (7 papers). Akinobu Murata is often cited by papers focused on Smart Grid Energy Management (12 papers), Energy Load and Power Forecasting (8 papers) and Optimal Power Flow Distribution (7 papers). Akinobu Murata collaborates with scholars based in Japan, South Korea and Ireland. Akinobu Murata's co-authors include Koichi Sakuta, Kazuhiko Kato, Kenji Otani, Hiroshi Yamaguchi, Kosuke Kurokawa, Izumi Tsuda, Takuya Doi, Takashi Oozeki, Taisuke Masuta and Weisheng Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Akinobu Murata

34 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akinobu Murata Japan 15 434 386 293 171 165 35 916
R. O. Fagbenle Nigeria 16 253 0.6× 136 0.4× 219 0.7× 148 0.9× 146 0.9× 42 956
Zhao Xin-gang China 10 244 0.6× 109 0.3× 118 0.4× 116 0.7× 65 0.4× 10 765
Saleem Raza Samo Pakistan 14 274 0.6× 88 0.2× 243 0.8× 155 0.9× 42 0.3× 43 824
Alemayehu Gebremedhin Norway 17 457 1.1× 125 0.3× 308 1.1× 37 0.2× 163 1.0× 43 806
David A. Quansah Ghana 17 386 0.9× 180 0.5× 589 2.0× 236 1.4× 71 0.4× 42 1.0k
Rui Shan United States 13 302 0.7× 91 0.2× 142 0.5× 39 0.2× 64 0.4× 30 592
Siqian Zheng Hong Kong 24 436 1.0× 258 0.7× 389 1.3× 90 0.5× 540 3.3× 33 1.4k
Stefán Thor Smith United Kingdom 13 232 0.5× 232 0.6× 487 1.7× 80 0.5× 478 2.9× 27 1.2k
Youssef Kassem Cyprus 16 225 0.5× 121 0.3× 124 0.4× 190 1.1× 64 0.4× 89 762
Martin Densing Switzerland 14 389 0.9× 94 0.2× 223 0.8× 20 0.1× 100 0.6× 23 797

Countries citing papers authored by Akinobu Murata

Since Specialization
Citations

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

Fields of papers citing papers by Akinobu Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akinobu Murata

This figure shows the co-authorship network connecting the top 25 collaborators of Akinobu Murata. A scholar is included among the top collaborators of Akinobu Murata 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 Akinobu Murata. Akinobu Murata 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.
Ozawa, Akito, et al.. (2018). Hydrogen in low-carbon energy systems in Japan by 2050: The uncertainties of technology development and implementation. International Journal of Hydrogen Energy. 43(39). 18083–18094. 68 indexed citations
2.
Kawajiri, Kotaro, Yasuhiko Kondo, Hirohisa Aki, & Akinobu Murata. (2018). Simplified method to estimate grid flexibility: Application to Japanese electrical grids. Energy. 167. 26–34. 9 indexed citations
6.
Murata, Akinobu, Kazuhiko Kato, & Kosuke Kurokawa. (2015). An estimation of environmental impacts of the trade of industrial products: a case of Japan. International Journal of Global Energy Issues.
7.
Masuta, Taisuke, João Gari da Silva Fonseca, Takashi Oozeki, & Akinobu Murata. (2015). Power system operation by prediction interval of photovoltaic generation forecast. 349–353. 2 indexed citations
8.
Masuta, Taisuke, Takashi Oozeki, João Gari da Silva Fonseca, & Akinobu Murata. (2015). Evaluation of Power Surpluses and Shortfalls Due to Error in Forecasting of Photovoltaic Generation Output. Electrical Engineering in Japan. 192(3). 34–45. 4 indexed citations
9.
Tokimatsu, Koji, et al.. (2015). An Integrated Assessment by Models for Energy Systems Analysis and Life-Cycle Assessment with a Case Study of Advanced Fossil-Fired Power Plants in China. Environmental Modeling & Assessment. 21(2). 291–305. 5 indexed citations
10.
Masuta, Taisuke, Takashi Oozeki, João Gari da Silva Fonseca, & Akinobu Murata. (2014). Evaluation of Outage and Surplus Power due to Forecast Error of Photovoltaic Generation Output. IEEJ Transactions on Power and Energy. 134(4). 286–295. 19 indexed citations
11.
Masuta, Taisuke, et al.. (2014). Electric vehicle charge patterns and the electricity generation mix and competitiveness of next generation vehicles. Energy Conversion and Management. 83. 337–346. 15 indexed citations
12.
Murata, Akinobu, et al.. (2013). Analysis of the CCS Considering Environment Co-benefit of Air Pollutants in China. Energy Procedia. 37. 7545–7556. 3 indexed citations
13.
Murata, Akinobu, et al.. (2013). Assessment of Co-benefits of Clean Development Projects Based on the Project Design Documents of India’s Power’s Sector Currently under Registration and Validation. Journal of Sustainable Development of Energy Water and Environment Systems. 1(4). 326–339. 2 indexed citations
14.
Murata, Akinobu, et al.. (2011). Study on Electricity Consumption for Domestic Refrigerators, Air Conditioners, and Water Dispenser in Guangzhou (China) urban area based on Questionnaire Data. Journal of the Japan Institute of Energy. 90(6). 554–561. 6 indexed citations
15.
Murata, Akinobu, et al.. (2008). A Modeling Analysis of the Deployment of Energy Efficient Industrial Technologies in China under CO2 Emission Constraints. Journal of the Japan Institute of Energy. 87(11). 938–945. 2 indexed citations
16.
Murata, Akinobu, Hiroshi Yamaguchi, & Kenji Otani. (2008). A method of estimating the output fluctuation of many photovoltaic power generation systems dispersed in a wide area. Electrical Engineering in Japan. 166(4). 9–19. 88 indexed citations
17.
Murata, Akinobu, Hiroshi Yamaguchi, & Kenji Otani. (2007). A Method to Estimate the Output Fluctuation of Many Photovoltaic Power Generation Systems Dispersed in a Wide Area. IEEJ Transactions on Power and Energy. 127(5). 645–652. 23 indexed citations
18.
Kondoh, Junji, et al.. (2006). Voltage Regulation in Distribution Systems by Hierarchically Cooperative Control. IEEJ Transactions on Power and Energy. 126(10). 994–1002. 13 indexed citations
19.
Doi, Takuya, et al.. (2001). Experimental study on PV module recycling with organic solvent method. Solar Energy Materials and Solar Cells. 67(1-4). 397–403. 222 indexed citations
20.
Murata, Akinobu & Kenji Otani. (1997). An analysis of time-dependent spatial distribution of output power from very many PV power systems installed on a nation-wide scale in Japan. Solar Energy Materials and Solar Cells. 47(1-4). 197–202. 19 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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