Makoto Kohda

2.7k total citations · 1 hit paper
129 papers, 2.1k citations indexed

About

Makoto Kohda is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Makoto Kohda has authored 129 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Atomic and Molecular Physics, and Optics, 63 papers in Condensed Matter Physics and 44 papers in Electrical and Electronic Engineering. Recurrent topics in Makoto Kohda's work include Quantum and electron transport phenomena (89 papers), Magnetic properties of thin films (76 papers) and Physics of Superconductivity and Magnetism (58 papers). Makoto Kohda is often cited by papers focused on Quantum and electron transport phenomena (89 papers), Magnetic properties of thin films (76 papers) and Physics of Superconductivity and Magnetism (58 papers). Makoto Kohda collaborates with scholars based in Japan, Germany and Switzerland. Makoto Kohda's co-authors include Junsaku Nitta, Yoji Kunihashi, Shutaro Karube, Gian Salis, Daichi Sugawara, Takahiro Tanaka, Klaus Richter, Y. Ohno, Takeshi Seki and Kōki Takanashi and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

In The Last Decade

Makoto Kohda

125 papers receiving 2.1k citations

Hit Papers

Observation of Spin-Splitter Torque in Collinear Antiferr... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Makoto Kohda
Comparison fields: 5 of 53
  • Atomic and Molecular Physics, and Optics 1.8k
  • Condensed Matter Physics 780
  • Electrical and Electronic Engineering 633
  • Materials Chemistry 589
  • Electronic, Optical and Magnetic Materials 516
Replace J. Ding with:
J. Ding Singapore
Murong Lang United States
Ashwin A. Tulapurkar India
Joseph Sklenar United States
A. Umerski United Kingdom
Kiyou Shibata Japan
Zongzhi Zhang China
Richard N. Louie United States
Marcus Heide Germany
Masashi Kubota Japan
J. Ding Singapore View profile →
Citations per field, relative to Makoto Kohda
Makoto Kohda · 1×
Citations per year, relative to Makoto Kohda
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Countries citing papers authored by Makoto Kohda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kohda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kohda. A scholar is included among the top collaborators of Makoto Kohda 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 Makoto Kohda. Makoto Kohda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 5
3 19
4 8
5 2
6 5
7 1
8 6
9 9
10 4
11 18
12 54
13 43
14 46
15 32
16 5
17 23
18 95
19 60
20 51

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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