Koya Akamine

878 total citations · 1 hit paper
9 papers, 727 citations indexed

About

Koya Akamine is a scholar working on Mechanics of Materials, Environmental Chemistry and Mechanical Engineering. According to data from OpenAlex, Koya Akamine has authored 9 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanics of Materials, 7 papers in Environmental Chemistry and 4 papers in Mechanical Engineering. Recurrent topics in Koya Akamine's work include Hydrocarbon exploration and reservoir analysis (7 papers), Methane Hydrates and Related Phenomena (7 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). Koya Akamine is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (7 papers), Methane Hydrates and Related Phenomena (7 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). Koya Akamine collaborates with scholars based in Japan. Koya Akamine's co-authors include Jiro Nagao, Yoshihiro Masuda, Yoshihiro Konno, Koji Yamamoto, Tetsuya Fujii, Akihiko Sato, Satoshi Ohtsuki, Machiko Tamaki, Hisanao Ouchi and Norio Tenma and has published in prestigious journals such as Energy Conversion and Management, Energy & Fuels and Journal of the Japanese Association for Petroleum Technology.

In The Last Decade

Koya Akamine

8 papers receiving 721 citations

Hit Papers

Key Findings of the World’s First Offshore Methane Hydrat... 2017 2026 2020 2023 2017 100 200 300 400 500
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. Key Findings of the World’s First Offshore Methane Hydrate Production Test off the Coast of Japan: Toward Future Commercial Production
    2017 527 citations Yoshihiro Konno, Tetsuya Fujii et al. Energy & Fuels profile →

Peers

Koya Akamine
T. Kanno Japan
Motoi Oshima Japan
Se-Joon Kim South Korea
Stian Almenningen Norway
Peixiao Mao China
Rupeng Wei China
Shudong Leng China
María Llamedo Venezuela
Yunkai Ji China
Jianye Sun China
T. Kanno Japan
Koya Akamine
Citations per year, relative to Koya Akamine Koya Akamine (= 1×) peers T. Kanno

Countries citing papers authored by Koya Akamine

Since Specialization
Citations

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

Fields of papers citing papers by Koya Akamine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koya Akamine

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

All Works

9 of 9 papers shown
1.
Ouchi, Hisanao, et al.. (2022). Sensitivity and Uncertainty Analysis for Natural Gas Hydrate Production Tests in Alaska. Energy & Fuels. 36(14). 7434–7455. 17 indexed citations
2.
Konno, Yoshihiro, Tetsuya Fujii, Akihiko Sato, et al.. (2021). Influence of Flow Properties on Gas Productivity in Gas-Hydrate Reservoirs: What Can We Learn from Offshore Production Tests?. Energy & Fuels. 35(10). 8733–8741. 22 indexed citations
3.
Ouchi, Hisanao, Koji Yamamoto, Koya Akamine, et al.. (2021). Numerical History-Matching of Modeling and Actual Gas Production Behavior and Causes of the Discrepancy of the Nankai Trough Gas-Hydrate Production Test Cases. Energy & Fuels. 36(1). 210–226. 22 indexed citations
4.
5.
Kurihara, Masanori, et al.. (2019). Research on coupling simulator predicting methane hydrate dissociation and production performances with geo-mechanical simulator in short computational time. Journal of the Japanese Association for Petroleum Technology. 84(4). 245–265.
6.
Konno, Yoshihiro, Tetsuya Fujii, Akihiko Sato, et al.. (2017). Key Findings of the World’s First Offshore Methane Hydrate Production Test off the Coast of Japan: Toward Future Commercial Production. Energy & Fuels. 31(3). 2607–2616. 527 indexed citations breakdown →
7.
Konno, Yoshihiro, et al.. (2015). Sustainable gas production from methane hydrate reservoirs by the cyclic depressurization method. Energy Conversion and Management. 108. 439–445. 120 indexed citations
8.
9.
Akamine, Koya, et al.. (2009). A Streamline-Based 3-Phase Equilibrium Compositional Model with Adaptive Implicit Method. Journal of the Japanese Association for Petroleum Technology. 74(3). 211–224. 2 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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