Atsushi Ohma

3.5k total citations
61 papers, 3.0k citations indexed

About

Atsushi Ohma is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Atsushi Ohma has authored 61 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 43 papers in Renewable Energy, Sustainability and the Environment and 18 papers in Materials Chemistry. Recurrent topics in Atsushi Ohma's work include Fuel Cells and Related Materials (48 papers), Electrocatalysts for Energy Conversion (43 papers) and Advanced Battery Technologies Research (14 papers). Atsushi Ohma is often cited by papers focused on Fuel Cells and Related Materials (48 papers), Electrocatalysts for Energy Conversion (43 papers) and Advanced Battery Technologies Research (14 papers). Atsushi Ohma collaborates with scholars based in Japan, United Kingdom and Canada. Atsushi Ohma's co-authors include Kazuhiko Shinohara, Tetsuya Mashio, Hiroshi Iden, Shinji Yamamoto, Kazuyuki Sato, Kazuyoshi Fushinobu, Yoshitaka Ono, Akihiro Iiyama, Toshihiko Yoshida and Akimasa Daimaru and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Energy & Environmental Science.

In The Last Decade

Atsushi Ohma

58 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsushi Ohma Japan 30 2.8k 2.1k 713 517 244 61 3.0k
Alessandro Stassi Italy 30 1.9k 0.7× 1.6k 0.7× 622 0.9× 281 0.5× 161 0.7× 66 2.3k
Jiseok Kwon South Korea 23 1.8k 0.6× 1.5k 0.7× 725 1.0× 300 0.6× 272 1.1× 70 2.5k
Bryan S. Pivovar United States 24 2.0k 0.7× 1.2k 0.6× 535 0.8× 343 0.7× 96 0.4× 45 2.3k
Chitturi Venkateswara Rao Puerto Rico 14 1.9k 0.7× 936 0.4× 647 0.9× 277 0.5× 419 1.7× 18 2.3k
Frieder Scheiba Germany 24 1.5k 0.5× 663 0.3× 401 0.6× 517 1.0× 441 1.8× 53 1.8k
Yonglang Guo China 25 1.2k 0.4× 743 0.4× 502 0.7× 342 0.7× 277 1.1× 69 1.7k
Kaixiang Lin United States 6 2.1k 0.7× 759 0.4× 194 0.3× 834 1.6× 432 1.8× 6 2.4k
Chunguang Kuai China 23 1.6k 0.6× 1.5k 0.7× 691 1.0× 259 0.5× 316 1.3× 35 2.4k
Kezhu Jiang China 37 3.7k 1.3× 1.8k 0.8× 1.1k 1.5× 652 1.3× 750 3.1× 74 4.4k
Chenlong Dong China 24 1.6k 0.6× 924 0.4× 507 0.7× 163 0.3× 413 1.7× 79 1.9k

Countries citing papers authored by Atsushi Ohma

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Ohma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Ohma

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Ohma. A scholar is included among the top collaborators of Atsushi Ohma 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 Atsushi Ohma. Atsushi Ohma 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.
Yang, Xin, Kazuki Arihara, Masaki Ono, et al.. (2024). Machine Learning Approaches for Battery Durability Prediction: Leveraging Diverse Datasets and Advanced Feature Engineering Techniques. ECS Meeting Abstracts. MA2024-02(3). 393–393.
2.
Honrao, Shreyas, Xin Yang, Balachandran Radhakrishnan, et al.. (2021). Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screening. Scientific Reports. 11(1). 16484–16484. 37 indexed citations
3.
Hou, Junxian, Xuning Feng, Li Wang, et al.. (2021). Unlocking the self-supported thermal runaway of high-energy lithium-ion batteries. Energy storage materials. 39. 395–402. 151 indexed citations
4.
Hou, Junxian, Languang Lu, Li Wang, et al.. (2020). Thermal runaway of Lithium-ion batteries employing LiN(SO2F)2-based concentrated electrolytes. Nature Communications. 11(1). 5100–5100. 254 indexed citations
5.
Akizuki, Ken, Atsushi Ohma, Takeshi Matsuura, et al.. (2017). Hydrophilic–hydrophobic diblock copolymers based on polyphenylenes for cathode ionomers of fuel cells. Sustainable Energy & Fuels. 1(6). 1299–1302. 7 indexed citations
6.
Shimanuki, Junichi, Shinichi Takahashi, Atsushi Ohma, et al.. (2017). Microstructural observation of fuel cell catalyst inks by Cryo-SEM and Cryo-TEM. Journal of Electron Microscopy. 66(3). 204–208. 19 indexed citations
7.
Mashio, Tetsuya, Hiroshi Iden, Atsushi Ohma, & Takashi Tokumasu. (2017). Modeling of local gas transport in catalyst layers of PEM fuel cells. Journal of Electroanalytical Chemistry. 790. 27–39. 49 indexed citations
8.
Iden, Hiroshi, et al.. (2016). Measurement of a new parameter representing the gas transport properties of the catalyst layers of polymer electrolyte fuel cells. Physical Chemistry Chemical Physics. 18(18). 13066–13073. 9 indexed citations
9.
10.
Mashio, Tetsuya, Atsushi Ohma, & Takashi Tokumasu. (2016). Molecular Dynamics Study of Ionomer Adsorption at a Carbon Surface in Catalyst Ink. Electrochimica Acta. 202. 14–23. 71 indexed citations
11.
Takahashi, Shinichi, et al.. (2015). Analysis of the Microstructure Formation Process and Its Influence on the Performance of Polymer Electrolyte Fuel‐Cell Catalyst Layers. ChemElectroChem. 2(10). 1560–1567. 122 indexed citations
12.
Mashio, Tetsuya, Kazuyuki Sato, & Atsushi Ohma. (2014). Analysis of Water Adsorption and Condensation in Catalyst Layers for Polymer Electrolyte Fuel Cells. Electrochimica Acta. 140. 238–249. 41 indexed citations
13.
Ohma, Atsushi, et al.. (2010). FUNDAMENTAL APPROACHES TO FUEL CELL TECHNOLOGY.
14.
Ohma, Atsushi, et al.. (2010). Theoretical analysis of oxygen reduction reaction and H2O2 formation and the impact of CF3SO3H coverage on Pt (111). Surface Science. 604(11-12). 965–973. 15 indexed citations
15.
Mashio, Tetsuya, et al.. (2010). Molecular Dynamics Study of Ionomer and Water Adsorption at Carbon Support Materials. The Journal of Physical Chemistry C. 114(32). 13739–13745. 68 indexed citations
16.
Sato, Kazuyuki, Atsushi Ohma, Koichi Yamaguchi, & Kazuhiko Shinohara. (2009). Analysis of water transport in catalyst layers - Effect of different carbon supports. ECS Transactions. 25. 273–283.
17.
Sato, Kazuyuki, et al.. (2009). Analysis of Reactant Gas Transport in Catalyst Layers; Effect of Pt-loadings. ECS Transactions. 25(1). 1193–1201. 104 indexed citations
18.
Iden, Hiroshi, Atsushi Ohma, & Kazuhiko Shinohara. (2008). Analysis of Proton Transport in Pseudo Catalyst Layers. ECS Transactions. 16(2). 1751–1762. 5 indexed citations
19.
Mashio, Tetsuya, Atsushi Ohma, Shinji Yamamoto, & Kazuhiko Shinohara. (2007). Analysis of Reactant Gas Transport in a Catalyst Layer. ECS Transactions. 11(1). 529–540. 91 indexed citations
20.
Ohma, Atsushi, Sohei Suga, Shinji Yamamoto, & Kazuhiko Shinohara. (2007). Membrane Degradation Behavior during Open-Circuit Voltage Hold Test. Journal of The Electrochemical Society. 154(8). B757–B757. 95 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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