Tetsuya Ida

1.1k citations
72 papers · 966 · h-index 16

Impact in

Papers in

Tetsuya Ida

66 papers receiving 954 citations

Peers

Tetsuya Ida
Comparison fields: 5 of 43
  • Condensed Matter Physics 672
  • Electronic, Optical and Magnetic Materials 332
  • Biomedical Engineering 431
  • Atomic and Molecular Physics, and Optics 237
  • Nuclear and High Energy Physics 88
Replace S. Ioka with:
S. Ioka Japan
G. A. Levin United States
M. Vojenčiak Slovakia
Xiuchang Zhang United Kingdom
Jun Ogawa Japan
Benzhe Zhou China
Arnaud Badel France
S.P. Ashworth United States
Shun Miura Japan
Anup Patel United Kingdom
Tetsuya Ida relative to S. Ioka Japan S. Ioka's profile →
Citations per field
00.5×2×3×4.2×
S. Ioka · 1×
Citations per year

Countries citing papers authored by Tetsuya Ida

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Ida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Ida, 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 Tetsuya Ida Line = papers co-authored together Tetsuya Ida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012115
2 2005109
3 200681
4 200164
5 200462
6 201632
7 200127
8 200025
9 200620
10 200619
11 202318
12 201818
13 200717
14 201817
15 200616
16 200416
17 201916
18 201716
19 201015
20 201815

About Tetsuya Ida

Tetsuya Ida is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electrical and Electronic Engineering, having authored 72 papers that have together received 966 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (47 papers), Magnetic and transport properties of perovskites and related materials (30 papers), Superconducting Materials and Applications (17 papers), Magnetic properties of thin films (11 papers), Advanced Condensed Matter Physics (10 papers), Carbon Nanotubes in Composites (10 papers), Frequency Control in Power Systems (9 papers) and Graphene research and applications (8 papers). The work is most often cited by research in Condensed Matter Physics (672 citations), Electronic, Optical and Magnetic Materials (332 citations), Biomedical Engineering (431 citations), Atomic and Molecular Physics, and Optics (237 citations) and Nuclear and High Energy Physics (88 citations). Tetsuya Ida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Mitsuru Izumi, M. Miki, Yosuke Kimura, Koji Ishibashi, H. Matsuzaki, Masaki Suzuki, Masahiko KITANO, Difan Zhou, B. Felder and H. Sugimoto. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Japanese Journal of Applied Physics, Physica C Superconductivity and Microelectronic Engineering.

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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