K. Maeda

1.3k citations
78 papers · 1.1k · h-index 16

Impact in

Papers in

K. Maeda

76 papers receiving 933 citations

Peers

K. Maeda
Comparison fields: 5 of 89
  • Astronomy and Astrophysics 476
  • Computer Vision and Pattern Recognition 438
  • Geophysics 190
  • Computational Mathematics 8
  • Signal Processing 85
Replace Mark Watt with:
Mark Watt United Kingdom
J. F. Jarvis United States
Katherine L. Bouman United States
J. A. Högbom Sweden
Gerald Kaiser United States
Richard D. Juday United States
Bernhard Wirnitzer Germany
E. Chassande‐Mottin France
Ajit Kembhavi India
C. de Villedary France
K. Maeda relative to Mark Watt United Kingdom Mark Watt's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. Maeda

Since Specialization
Citations

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

Fields of papers citing papers by K. Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002391
2 196667
3 196664
4 196357
5 197142
6 196941
7 197733
8 195932
9 201025
10 200423
11 196322
12 195220
13 200219
14
IONOSPHERIC DYNAMO THEORY WITH CONSIDERATION FOR MAGNETOSPHERIC CURRENT ALONG THE GEOMAGNETIC LINES OF FORCE
196517
15
Identifying Cellular Automata Rules
200716
16 200116
17 195415
18 200514
19 196813
20 200413

About K. Maeda

K. Maeda is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering, Molecular Biology, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (26 papers), Solar and Space Plasma Dynamics (19 papers), Geomagnetism and Paleomagnetism Studies (10 papers), Radio Frequency Integrated Circuit Design (8 papers), GNSS positioning and interference (7 papers), Earthquake Detection and Analysis (6 papers), Face and Expression Recognition (4 papers) and Plasma Diagnostics and Applications (4 papers). The work is most often cited by research in Astronomy and Astrophysics (476 citations), Computer Vision and Pattern Recognition (438 citations), Geophysics (190 citations), Computational Mathematics (8 citations) and Signal Processing (85 citations). K. Maeda has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Osamu Yamaguchi, Eriko Fukui, S. Kato, Takao Tsuda, Tetsuya Sato, Hajime Maeda, Toshitaka Tsuda, T. Sato, Hiroshi Oya and Chiaki Sakama. Their work appears in journals such as Journal of geomagnetism and geoelectricity, Radio Science, IEICE Transactions on Electronics, Applied Physics Express and ACM SIGPLAN Notices.

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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