Kan Hatakeyama‐Sato
- Electrical and Electronic Engineering top 5%
- Polymers and Plastics top 5%
- Materials Chemistry top 10%
- Electronic, Optical and Magnetic Materials
- Automotive Engineering top 10%
- Co-authors
- Kenichi OyaizuHiroyuki NishideYusuke SasakiTakashi SukegawaJodie L. LutkenhausMasahiro Yoshizawa‐FujitaYoshinori NishikitaniYuta Nabae
- Topics
- Conducting polymers and applications (27 papers)Machine Learning in Materials Science (17 papers)Advanced Battery Materials and Technologies (17 papers)
In The Last Decade
Kan Hatakeyama‐Sato
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 792
- Polymers and Plastics 472
- Materials Chemistry 365
- Electronic, Optical and Magnetic Materials 152
- Automotive Engineering 104
Countries citing papers authored by Kan Hatakeyama‐Sato
This map shows the geographic impact of Kan Hatakeyama‐Sato'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 Kan Hatakeyama‐Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Hatakeyama‐Sato more than expected).
Fields of papers citing papers by Kan Hatakeyama‐Sato
This network shows the impact of papers produced by Kan Hatakeyama‐Sato. 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 Kan Hatakeyama‐Sato. The network helps show where Kan Hatakeyama‐Sato may publish in the future.
Co-authorship network of co-authors of Kan Hatakeyama‐Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Kan Hatakeyama‐Sato. A scholar is included among the top collaborators of Kan Hatakeyama‐Sato 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 Kan Hatakeyama‐Sato. Kan Hatakeyama‐Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 16 | |
| 17 | 10 | |
| 18 | 31 | |
| 19 | 12 | |
| 20 | 49 |
About Kan Hatakeyama‐Sato
Kan Hatakeyama‐Sato is a scholar working on Polymers and Plastics, Materials Chemistry and Catalysis, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Conducting polymers and applications (27 papers), Machine Learning in Materials Science (17 papers) and Advanced Battery Materials and Technologies (17 papers). The work is most often cited by research in Polymers and Plastics (472 citations), Electrical and Electronic Engineering (792 citations) and Automotive Engineering (104 citations). Kan Hatakeyama‐Sato has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Kenichi Oyaizu, Hiroyuki Nishide, Yusuke Sasaki, Takashi Sukegawa, Jodie L. Lutkenhaus, Masahiro Yoshizawa‐Fujita, Yoshinori Nishikitani, Yuta Nabae, Teruaki Hayakawa and Kôichi Kimura. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Advanced Materials.
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.