Hideaki Ohtake

66 papers receiving 601 citations

Peers

Hideaki Ohtake
Comparison fields: 5 of 44
  • Renewable Energy, Sustainability and the Environment 257
  • Energy Engineering and Power Technology 45
  • Artificial Intelligence 416
  • Electrical and Electronic Engineering 399
  • Atmospheric Science 113
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Patrick Mathiesen United States
João Gari da Silva Fonseca Japan
Gokhan Mert Yagli Singapore
Nicolas Schmutz Australia
Sergey Kivalov United States
Corinna Möhrlen Germany
Lukas Nonnenmacher United States
Martín Gastón Spain
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Citations per field
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Citations per year

Countries citing papers authored by Hideaki Ohtake

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Ohtake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideaki Ohtake, 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 Hideaki Ohtake Line = papers co-authored together Hideaki Ohtake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 201760
3 201449
4 201539
5 201238
6 201537
7 201428
8 201822
9 201718
10 200916
11 202115
12 202013
13 201613
14 201712
15 201811
16 202110
17 201710
18 20139
19 20189
20 20199

About Hideaki Ohtake

Hideaki Ohtake is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Atmospheric Science and Global and Planetary Change, having authored 70 papers that have together received 612 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (50 papers), Energy Load and Power Forecasting (28 papers), Photovoltaic System Optimization Techniques (25 papers), Meteorological Phenomena and Simulations (14 papers), Climate variability and models (11 papers), Power Systems and Renewable Energy (11 papers), Smart Grid Energy Management (10 papers) and Electric Power System Optimization (9 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (257 citations), Energy Engineering and Power Technology (45 citations), Artificial Intelligence (416 citations), Electrical and Electronic Engineering (399 citations) and Atmospheric Science (113 citations). Hideaki Ohtake has collaborated with scholars based in Japan, Sri Lanka and United Kingdom. Frequent co-authors include Takashi Oozeki, João Gari da Silva Fonseca, Takumi Takashima, Kazuhiko Ogimoto, Yoshinori Yamada, Akinobu Murata, Taisuke Masuta, Daiki Kobayashi, Y. Udagawa and Masayuki Kawashima. Their work appears in journals such as Energies, Solar Energy, Journal of the Meteorological Society of Japan Ser II, Renewable Energy and Progress in Photovoltaics Research and Applications.

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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