Akihide Hayashi
- Catalysis top 10%
- Catalysis and Oxidation Reactions 4
-
- Catalytic Processes in Materials Science 16
- Copper-based nanomaterials and applications 4
- ZnO doping and properties 4
- Nanocluster Synthesis and Applications 3
- Machine Learning in Materials Science 3
-
- Advanced Chemical Physics Studies 4
-
- Nanomaterials for catalytic reactions 3
- Co-authors
- Hiroaki KogaMitsutaka OkumuraKohei TadaShusuke YamanakaTakashi KawakamiShingo TanakaTsunehiro TanakaSaburo Hosokawa
- Journals
- The Journal of Physical Chemistry C (1 paper)Chemical Physics Letters (2 papers)Journal of Computational Chemistry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Akihide Hayashi
18 papers receiving 184 citations
Peers
Comparison fields: 5 of 25
- Catalysis 67
- Materials Chemistry 151
- Renewable Energy, Sustainability and the Environment 43
- Process Chemistry and Technology 5
- Electronic, Optical and Magnetic Materials 23
Countries citing papers authored by Akihide Hayashi
This map shows the geographic impact of Akihide Hayashi'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 Akihide Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihide Hayashi more than expected).
Fields of papers citing papers by Akihide Hayashi
This network shows the impact of papers produced by Akihide Hayashi. 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 Akihide Hayashi. The network helps show where Akihide Hayashi may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Akihide Hayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 10 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 6 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 5 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 14 | |
| 17 | 2017 | 19 | |
| 18 | 2017 | 21 | |
| 19 | 2016 | 3 |
About Akihide Hayashi
Akihide Hayashi is a scholar working on Catalysis, Materials Chemistry and Organic Chemistry, having authored 19 papers that have together received 185 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (16 papers), Copper-based nanomaterials and applications (4 papers), ZnO doping and properties (4 papers), Catalysis and Oxidation Reactions (4 papers), Advanced Chemical Physics Studies (4 papers), Nanocluster Synthesis and Applications (3 papers), Machine Learning in Materials Science (3 papers) and Nanomaterials for catalytic reactions (3 papers). The work is most often cited by research in Catalysis (67 citations), Materials Chemistry (151 citations) and Renewable Energy, Sustainability and the Environment (43 citations). Akihide Hayashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Koga, Mitsutaka Okumura, Kohei Tada, Shusuke Yamanaka, Takashi Kawakami, Shingo Tanaka, Tsunehiro Tanaka, Saburo Hosokawa, Hiroaki Sakurai and Tomohiro Maruyama. Their work appears in journals such as The Journal of Physical Chemistry C, Chemical Physics Letters and Journal of Computational Chemistry.
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.