M. Yashima

675 citations
42 papers · 479 · h-index 13

Impact in

Papers in

M. Yashima

39 papers receiving 467 citations

Peers

M. Yashima
Comparison fields: 5 of 34
  • Condensed Matter Physics 311
  • Electronic, Optical and Magnetic Materials 311
  • Control and Systems Engineering 117
  • Accounting 46
  • Inorganic Chemistry 46
Replace Dongliang Gong with:
Dongliang Gong China
M. Matar Egypt
Martin Rau Germany
Yoshinori Konishi Japan
Bin Yuan China
Naoki Kase Japan
Mustafa Mosbah Algeria
Ling Xia China
Guilherme Fidelis Peixer Brazil
Siying Huang United States
M. Yashima relative to Dongliang Gong China Dongliang Gong's profile →
Citations per field
00.5×3.8×
Dongliang Gong · 1×
Citations per year

Countries citing papers authored by M. Yashima

Since Specialization
Citations

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

Fields of papers citing papers by M. Yashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200876
2 200444
3 200732
4 200431
5 201029
6 200826
7 200224
8 200924
9 200219
10 200319
11 200919
12 201418
13 201214
14 201112
15 200411
16 201210
17 200510
18 20067
19 19996
20 20155

About M. Yashima

M. Yashima is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Control and Systems Engineering, Accounting and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 479 indexed citations. Recurring topics across this work include Iron-based superconductors research (26 papers), Rare-earth and actinide compounds (20 papers), Physics of Superconductivity and Magnetism (14 papers), Robot Manipulation and Learning (13 papers), Robotic Mechanisms and Dynamics (11 papers), Corporate Taxation and Avoidance (8 papers), Robotic Path Planning Algorithms (5 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Condensed Matter Physics (311 citations), Electronic, Optical and Magnetic Materials (311 citations), Control and Systems Engineering (117 citations), Accounting (46 citations) and Inorganic Chemistry (46 citations). M. Yashima has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Y. Kitaoka, Hidekazu Mukuda, Rikio Settai, Haruo Yamaguchi, Yoshichika Ōnuki, Hiroaki Shishido, Peng Song, S. Kawasaki, Tomoyuki Ohara and Atsushi Harada. Their work appears in journals such as Physical Review B, Physical Review Letters, Physical review. B., Physica B Condensed Matter and Physica C Superconductivity.

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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