Ryosei Sakamoto

906 total citations · 1 hit paper
15 papers, 734 citations indexed

About

Ryosei Sakamoto is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Ryosei Sakamoto has authored 15 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Control and Systems Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Ryosei Sakamoto's work include Wind Turbine Control Systems (13 papers), Microgrid Control and Optimization (9 papers) and Wind Energy Research and Development (9 papers). Ryosei Sakamoto is often cited by papers focused on Wind Turbine Control Systems (13 papers), Microgrid Control and Optimization (9 papers) and Wind Energy Research and Development (9 papers). Ryosei Sakamoto collaborates with scholars based in Japan. Ryosei Sakamoto's co-authors include Tomonobu Senjyu, N. Urasaki, Hideomi Sekine, H. Fujita, Toshihisa Funabashi, Toshihisa Funabashi, Naomitsu Urasaki, Hiroki Higa, Katsumi Uezato and T. Kinjo and has published in prestigious journals such as IEEE Transactions on Energy Conversion, Electric Power Components and Systems and Electrical Engineering in Japan.

In The Last Decade

Ryosei Sakamoto

15 papers receiving 706 citations

Hit Papers

Output Power Leveling of Wind Turbine Generator for All O... 2006 2026 2012 2019 2006 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle Control
    2006 366 citations Tomonobu Senjyu, Ryosei Sakamoto et al. IEEE Transactions on Energy Conversion profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryosei Sakamoto Japan 13 681 512 199 88 34 15 734
Roohollah Fadaeinedjad Iran 13 678 1.0× 495 1.0× 154 0.8× 75 0.9× 27 0.8× 44 759
Clemens Jauch Germany 16 778 1.1× 577 1.1× 215 1.1× 94 1.1× 25 0.7× 39 884
Yongqiang Lang China 11 1.2k 1.7× 824 1.6× 126 0.6× 116 1.3× 37 1.1× 19 1.3k
Endusa Billy Muhando Japan 14 534 0.8× 406 0.8× 171 0.9× 43 0.5× 22 0.6× 33 588
Hee-Sang Ko South Korea 14 685 1.0× 567 1.1× 63 0.3× 68 0.8× 54 1.6× 41 773
Le‐Ren Chang‐Chien Taiwan 13 983 1.4× 662 1.3× 101 0.5× 129 1.5× 46 1.4× 56 1.0k
Sul Ademi United Kingdom 17 777 1.1× 445 0.9× 138 0.7× 42 0.5× 19 0.6× 50 881
Brice Beltran France 6 925 1.4× 703 1.4× 261 1.3× 33 0.4× 12 0.4× 8 995
Shibashis Bhowmik United States 15 866 1.3× 543 1.1× 98 0.5× 77 0.9× 39 1.1× 23 914
Gabriele Michalke Germany 8 749 1.1× 567 1.1× 102 0.5× 32 0.4× 9 0.3× 13 808

Countries citing papers authored by Ryosei Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ryosei Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosei Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ryosei Sakamoto. A scholar is included among the top collaborators of Ryosei Sakamoto 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 Ryosei Sakamoto. Ryosei Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Senjyu, Tomonobu, et al.. (2008). Output Power Leveling of Wind Farm Using Pitch-angle Control with Fuzzy Neural Network. Electric Power Components and Systems. 36(10). 1048–1066. 20 indexed citations
2.
Sakamoto, Ryosei, et al.. (2007). Output power leveling of wind turbine generator by pitch angle control using H∞ control. Electrical Engineering in Japan. 162(4). 17–24. 19 indexed citations
3.
Senjyu, Tomonobu, Ryosei Sakamoto, Naomitsu Urasaki, et al.. (2007). Output power leveling of wind turbine generators using pitch angle control for all operating regions in wind farm. Electrical Engineering in Japan. 158(4). 31–41. 6 indexed citations
4.
Sakamoto, Ryosei, et al.. (2007). Output Power Leveling of Wind Turbine Generator by Pitch Angle Control Using <i>H</i><sub>&infin;</sub> Control. IEEJ Transactions on Power and Energy. 127(1). 86–93. 27 indexed citations
5.
Senjyu, Tomonobu, Ryosei Sakamoto, N. Urasaki, et al.. (2006). Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle Control. IEEE Transactions on Energy Conversion. 21(2). 467–475. 366 indexed citations breakdown →
6.
Hayashi, Daisuke, Tomonobu Senjyu, Ryosei Sakamoto, et al.. (2006). Generating Power Leveling of Renewable Energy for Small Power System in Isolated Island. 379–384. 16 indexed citations
7.
8.
Senjyu, Tomonobu, Ryosei Sakamoto, N. Urasaki, Toshihisa Funabashi, & Hideomi Sekine. (2006). Output power leveling of wind farm using pitch angle control with fuzzy neural network. 2006 IEEE Power Engineering Society General Meeting. 8 pp.–8 pp.. 38 indexed citations
9.
Sakamoto, Ryosei, Tomonobu Senjyu, N. Urasaki, et al.. (2006). Output Power Leveling of Wind Turbine Generators using Pitch Angle Control for All Operating Regions in Wind Farm. 117 b. 367–372. 19 indexed citations
10.
Senjyu, Tomonobu, Ryosei Sakamoto, Naomitsu Urasaki, et al.. (2005). Output Power Leveling of Wind Turbine Generators using Pitch Angle Control for All Operating Regions in Wind Farm. IEEJ Transactions on Power and Energy. 125(12). 1159–1168. 12 indexed citations
11.
Sakamoto, Ryosei, Tomonobu Senjyu, T. Kinjo, N. Urasaki, & Toshihisa Funabashi. (2005). Output power leveling of wind turbine generator by pitch angle control using adaptive control method. 1. 834–839. 51 indexed citations
12.
Sakamoto, Ryosei, Tomonobu Senjyu, N. Urasaki, H. Fujita, & Hideomi Sekine. (2005). Output power leveling of wind turbine generator for all operating regions by pitch angle control. IEEE Power Engineering Society General Meeting, 2005. 122d. 2274–2281. 47 indexed citations
13.
Senjyu, Tomonobu, et al.. (2005). Generating Power Leveling of Renewable Energy for Small Power System in Isolated Island. IEEJ Transactions on Power and Energy. 125(12). 1209–1215. 20 indexed citations
14.
Senjyu, Tomonobu, Ryosei Sakamoto, Naomitsu Urasaki, et al.. (2005). Output power control of wind turbine generator by pitch angle control using minimum variance control. Electrical Engineering in Japan. 154(2). 10–18. 55 indexed citations
15.
Senjyu, Tomonobu, Ryosei Sakamoto, Naomitsu Urasaki, et al.. (2004). Output Power Control of Wind Turbine Generator by Pitch Angle Control using Minimum Variance Control. IEEJ Transactions on Power and Energy. 124(12). 1455–1462. 18 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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