Masaru Kamada
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Signal Processing
- Co-authors
- Kazuo ToraichiRyoichi MoriShusuke OkamotoSai YangMamun Bin Ibne ReazHiromitsu YamadaYasuhiro OhtakiMohd Alauddin Mohd Ali
- Topics
- Image and Signal Denoising Methods (12 papers)Multimedia Communication and Technology (10 papers)Advanced Numerical Analysis Techniques (8 papers)
- Partner nations
- JapanMalaysiaUnited Kingdom
In The Last Decade
Masaru Kamada
62 papers receiving 304 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 124
- Computer Networks and Communications 75
- Electrical and Electronic Engineering 63
- Information Systems 46
- Signal Processing 43
Countries citing papers authored by Masaru Kamada
This map shows the geographic impact of Masaru Kamada'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 Masaru Kamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Kamada more than expected).
Fields of papers citing papers by Masaru Kamada
This network shows the impact of papers produced by Masaru Kamada. 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 Masaru Kamada. The network helps show where Masaru Kamada may publish in the future.
Co-authorship network of co-authors of Masaru Kamada
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Kamada. A scholar is included among the top collaborators of Masaru Kamada 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 Masaru Kamada. Masaru Kamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | ISLAYPUB - A User-Participatory Service for Video Game Creation on the Web | 2 |
| 10 | 3 | |
| 11 | A Network Game Based on Fair Random Numbers( Cyberworlds) | 2 |
| 12 | CSK/SSMA ALOHA System with Nonorthogonal Sequences | 7 |
| 13 | A simple scheme of decomposing and reconstructing continuous-time signals by b-splines | 2 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 48 | |
| 19 | 6 | |
| 20 | 13 |
About Masaru Kamada
Masaru Kamada is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Human-Computer Interaction, having authored 67 papers that have together received 332 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Multimedia Communication and Technology (10 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Computer Science Applications (27 citations) and Signal Processing (43 citations). Masaru Kamada has collaborated with scholars based in Japan, Malaysia and United Kingdom. Frequent co-authors include Kazuo Toraichi, Ryoichi Mori, Shusuke Okamoto, Sai Yang, Mamun Bin Ibne Reaz, Hiromitsu Yamada, Yasuhiro Ohtaki, Mohd Alauddin Mohd Ali, Kazuhiko Yamamoto and Satoshi Matsumoto. Their work appears in journals such as Sensors, Pattern Recognition and Signal Processing.
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.