T. Takagi
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Polymers and Plastics
- Cellular and Molecular Neuroscience
- Materials Chemistry
- Co-authors
- S. MuraokaZhiqiang WeiYuchi KanzawaTakumi MikawaY. KatohToru YamaguchiKoji KatayamaTakeki Ninomiya
- Topics
- Fuzzy Logic and Control Systems (16 papers)Neural Networks and Applications (12 papers)Semiconductor materials and devices (9 papers)
- Journals
- Applied Physics LettersJournal of The Electrochemical SocietyIEEE Transactions on Industrial Electronics
- Partner nations
- JapanUnited StatesChina
In The Last Decade
T. Takagi
45 papers receiving 490 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 326
- Artificial Intelligence 132
- Polymers and Plastics 79
- Cellular and Molecular Neuroscience 67
- Materials Chemistry 63
Countries citing papers authored by T. Takagi
This map shows the geographic impact of T. Takagi'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 T. Takagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Takagi more than expected).
Fields of papers citing papers by T. Takagi
This network shows the impact of papers produced by T. Takagi. 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 T. Takagi. The network helps show where T. Takagi may publish in the future.
Co-authorship network of co-authors of T. Takagi
This figure shows the co-authorship network connecting the top 25 collaborators of T. Takagi. A scholar is included among the top collaborators of T. Takagi 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 T. Takagi. T. Takagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 47 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | Meiji University at the ImageCLEF2010 Visual Concept Detection and Annotation Task: Working notes | 0 |
| 10 | 2 | |
| 11 | 37 | |
| 12 | 11 | |
| 13 | 75 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 1 |
About T. Takagi
T. Takagi is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 524 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (16 papers), Neural Networks and Applications (12 papers) and Semiconductor materials and devices (9 papers). The work is most often cited by research in Electrical and Electronic Engineering (326 citations), Polymers and Plastics (79 citations) and Artificial Intelligence (132 citations). T. Takagi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include S. Muraoka, Zhiqiang Wei, Yuchi Kanzawa, Takumi Mikawa, Y. Katoh, Toru Yamaguchi, Koji Katayama, Takeki Ninomiya, K. Kawai and Hiroki Arimura. Their work appears in journals such as Applied Physics Letters, Journal of The Electrochemical Society and IEEE Transactions on Industrial Electronics.
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.