Mitsuo Takeda
- Computer Vision and Pattern Recognition top 0.1%
- Atomic and Molecular Physics, and Optics top 1%
- Media Technology top 0.1%
- Mechanical Engineering top 1%
- Electrical and Electronic Engineering top 2%
- Co-authors
- Seiji KobayashiHideki InaDinesh N. NaikJoseph W. GoodmanH. YamamotoYoko MiyamotoSteen G. HansonWolfgang Osten
- Topics
- Optical measurement and interference techniques (68 papers)Digital Holography and Microscopy (32 papers)Advanced Measurement and Metrology Techniques (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing
In The Last Decade
Mitsuo Takeda
94 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 4.1k
- Atomic and Molecular Physics, and Optics 2.4k
- Media Technology 1.7k
- Mechanical Engineering 1.6k
- Electrical and Electronic Engineering 1.5k
Countries citing papers authored by Mitsuo Takeda
This map shows the geographic impact of Mitsuo Takeda'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 Mitsuo Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Takeda more than expected).
Fields of papers citing papers by Mitsuo Takeda
This network shows the impact of papers produced by Mitsuo Takeda. 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 Mitsuo Takeda. The network helps show where Mitsuo Takeda may publish in the future.
Co-authorship network of co-authors of Mitsuo Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Takeda. A scholar is included among the top collaborators of Mitsuo Takeda 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 Mitsuo Takeda. Mitsuo Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 57 | |
| 3 | 96 | |
| 4 | 26 | |
| 5 | 20 | |
| 6 | 50 | |
| 7 | 3 | |
| 8 | 23 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 85 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 20 | |
| 18 | 19 | |
| 19 | 154 | |
| 20 | 13 |
About Mitsuo Takeda
Mitsuo Takeda is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Media Technology, having authored 100 papers that have together received 6.6k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (68 papers), Digital Holography and Microscopy (32 papers) and Advanced Measurement and Metrology Techniques (26 papers). The work is most often cited by research in Acoustics and Ultrasonics (459 citations), Computer Vision and Pattern Recognition (4.1k citations) and Media Technology (1.7k citations). Mitsuo Takeda has collaborated with scholars based in Japan, Germany and India. Frequent co-authors include Seiji Kobayashi, Hideki Ina, Dinesh N. Naik, Joseph W. Goodman, H. Yamamoto, Yoko Miyamoto, Steen G. Hanson, Wolfgang Osten, Alok Kumar Singh and Giancarlo Pedrini. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image 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.