Atsuto Seko
Impact in
- Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
- ZnO doping and properties
- Advanced Thermoelectric Materials and Devices
- Metals and Alloys top 5%
Papers in
-
- Advanced Condensed Matter Physics 13
- Co-authors
- Isao TanakaFumiyasu ObaAtsushi TogoHiroyuki HayashiKoji TsudaAkihide KuwabaraKeita NakayamaAkira Takahashi
- Journals
- Physical Review B (20 papers)Physical review. B. (11 papers)Journal of Biological Chemistry (7 papers)Glycobiology (5 papers)Journal of Physics Condensed Matter (4 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Atsuto Seko
80 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 125
- Materials Chemistry 2.5k
- Metals and Alloys 79
- Computational Theory and Mathematics 320
- Condensed Matter Physics 223
- Catalysis 113
Countries citing papers authored by Atsuto Seko
This map shows the geographic impact of Atsuto Seko'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 Atsuto Seko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuto Seko more than expected).
Fields of papers citing papers by Atsuto Seko
This network shows the impact of papers produced by Atsuto Seko. 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 Atsuto Seko. The network helps show where Atsuto Seko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsuto Seko, 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 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 41 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 6 | |
| 11 | 2015 | 348 | |
| 12 | 2014 | 19 | |
| 13 | 2012 | 14 | |
| 14 | 2010 | 4 | |
| 15 | 2005 | 31 | |
| 16 | 2002 | 34 | |
| 17 | 2002 | 18 | |
| 18 | 2000 | 16 | |
| 19 | 1999 | 57 | |
| 20 | 1993 | 82 |
About Atsuto Seko
Atsuto Seko is a scholar working on Condensed Matter Physics, Metals and Alloys, Materials Chemistry, General Materials Science and Biotechnology, having authored 83 papers that have together received 3.7k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (30 papers), X-ray Diffraction in Crystallography (19 papers), Glycosylation and Glycoproteins Research (17 papers), Advanced Condensed Matter Physics (13 papers), Carbohydrate Chemistry and Synthesis (7 papers), nanoparticles nucleation surface interactions (7 papers), Advanced Chemical Physics Studies (7 papers) and High-pressure geophysics and materials (6 papers). The work is most often cited by research in Materials Chemistry (2.5k citations), Metals and Alloys (79 citations), Computational Theory and Mathematics (320 citations), Condensed Matter Physics (223 citations) and Catalysis (113 citations). Atsuto Seko has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Isao Tanaka, Fumiyasu Oba, Atsushi Togo, Hiroyuki Hayashi, Koji Tsuda, Akihide Kuwabara, Keita Nakayama, Akira Takahashi, Kazuki Shitara and Shintaro Inoue. Their work appears in journals such as Physical Review B, Physical review. B., Journal of Biological Chemistry, Glycobiology and Journal of Physics Condensed Matter.
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.