Takashi Soma

33 papers receiving 351 citations

Peers

Takashi Soma
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 175
  • Computer Vision and Pattern Recognition 135
  • Atomic and Molecular Physics, and Optics 90
  • Mechanical Engineering 74
  • Biomedical Engineering 65
Replace Runtao Ding with:
Runtao Ding China
Paul M. Chirlian United States
S. Huang United States
Evgenii Vinogradov Belgium
Max B. Reid United States
D.D. Buss United States
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Chia‐Chan Chang Taiwan
Qiong Wu China
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Takashi Soma relative to Runtao Ding China Runtao Ding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Takashi Soma

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Soma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Soma

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Soma. A scholar is included among the top collaborators of Takashi Soma 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 Takashi Soma. Takashi Soma 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
#WorkIndexed citations
1 0
2
Quasiperiodic Tilings Derived from a Cuboctahedron —Projection from 6D Lattice Space—
0
3 1
4 4
5
Convergence of solutions and practical stability of hopfield-type neural networks with time-varying external inputs
1
6
Animation of Some Truncated Polyhedrons
1
7
Passive Sonar-Ranging System Based on Adaptive Filter Technique
1
8 1
9 14
10 7
11
An Efficient Technique for Designing Variable Digital Filters
2
12 3
13
A simplified data form conversion method from contour line surface model to mesh surface model
1
14 6
15 2
16 3
17 3
18 1
19
Measurement of venous blood flow and pressure using thermoelectric and pressure transducers.
1
20 3

About Takashi Soma

Takashi Soma is a scholar working on Computer Graphics and Computer-Aided Design, Surfaces, Coatings and Films and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 396 indexed citations. Recurring topics across this work include Quasicrystal Structures and Properties (5 papers), Advancements in Photolithography Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Media Technology (35 citations) and Electrical and Electronic Engineering (175 citations). Takashi Soma has collaborated with scholars based in Japan, United States and Fiji. Frequent co-authors include Masanori Idesawa, Toyohiko Yatagai, Eiichi Goto, Tian–Bo Deng, Kenji Nakagawa, Kazuhiro Nakazawa, Y. Harada, Etsuko Wada, U. Kawabe and Hideaki Nakane. Their work appears in journals such as Journal of Computational Physics, Cellular and Molecular Life Sciences and IEEE Transactions on Magnetics.

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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