Tatsuhiro Onodera
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Co-authors
- Peter L. McMahonLogan G. WrightTianyu WangMartin M. SteinDarren T. SchachterZoey HuShi-Yuan MaEdwin Ng
- Topics
- Neural Networks and Reservoir Computing (14 papers)Photonic and Optical Devices (13 papers)Optical Network Technologies (9 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Tatsuhiro Onodera
26 papers receiving 902 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 626
- Electrical and Electronic Engineering 551
- Atomic and Molecular Physics, and Optics 180
- Biomedical Engineering 59
- Electronic, Optical and Magnetic Materials 40
Countries citing papers authored by Tatsuhiro Onodera
This map shows the geographic impact of Tatsuhiro Onodera'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 Tatsuhiro Onodera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuhiro Onodera more than expected).
Fields of papers citing papers by Tatsuhiro Onodera
This network shows the impact of papers produced by Tatsuhiro Onodera. 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 Tatsuhiro Onodera. The network helps show where Tatsuhiro Onodera may publish in the future.
Co-authorship network of co-authors of Tatsuhiro Onodera
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuhiro Onodera. A scholar is included among the top collaborators of Tatsuhiro Onodera 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 Tatsuhiro Onodera. Tatsuhiro Onodera 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 | 4 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | Image sensing with multilayer nonlinear optical neural networksbreakdown → | 159 |
| 7 | 1 | |
| 8 | 0 | |
| 9 | Deep physical neural networks trained with backpropagationbreakdown → | 421 |
| 10 | 17 | |
| 11 | 20 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 31 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | [Clinical study of amino acid imbalance as an adjunct to cancer therapy]. | 9 |
| 19 | 3 | |
| 20 | [Case of cavernous lymphangioma of the pancreas with cerebral aneurysm]. | 1 |
About Tatsuhiro Onodera
Tatsuhiro Onodera is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 29 papers that have together received 952 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (14 papers), Photonic and Optical Devices (13 papers) and Optical Network Technologies (9 papers). The work is most often cited by research in Acoustics and Ultrasonics (34 citations), Artificial Intelligence (626 citations) and Electrical and Electronic Engineering (551 citations). Tatsuhiro Onodera has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Peter L. McMahon, Logan G. Wright, Tianyu Wang, Martin M. Stein, Darren T. Schachter, Zoey Hu, Shi-Yuan Ma, Edwin Ng, Hideo Mabuchi and Marco Liscidini. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.
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.