Atsuto Seko

4.7k citations
83 papers · 3.7k · h-index 34

Impact in

    • 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

Papers in

Atsuto Seko

82 papers receiving 3.7k citations

Peers

Atsuto Seko
Comparison fields: 5 of 123
  • Materials Chemistry 2.5k
  • Metals and Alloys 79
  • Computational Theory and Mathematics 323
  • Condensed Matter Physics 226
  • Catalysis 113
Replace Min Qian with:
Min Qian China
Robert L. Harniman United Kingdom
Henry Chan United States
Hai‐Chen Wu China
Yoichi Murakami Japan
Hikaru Saito Japan
Jun Ni China
Xie Zhang China
An‐Ping Li United States
Joseph M. Slocik United States
Atsuto Seko relative to Min Qian China Min Qian's profile →
Citations per field
00.5×7.8×
Min Qian · 1×
Citations per year

Countries citing papers authored by Atsuto Seko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Atsuto Seko Line = papers co-authored together Atsuto Seko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015355
2 2016273
3 2014249
4 2017235
5 2013196
6 2008143
7 1994125
8 2009125
9 200698
10 200588
11 199382
12 201481
13 201070
14 201566
15 200660
16 199957
17 199153
18 201753
19 200651
20 201647

About Atsuto Seko

Atsuto Seko is a scholar working on Materials Chemistry, Molecular Biology, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, 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), Advanced Chemical Physics Studies (7 papers), Carbohydrate Chemistry and Synthesis (7 papers), nanoparticles nucleation surface interactions (7 papers) and Computational Drug Discovery Methods (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 (323 citations), Condensed Matter Physics (226 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, Keita Nakayama, Akihide Kuwabara, 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.

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