Takao Noguchi
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- General Decision Sciences top 2%
- Co-authors
- F. MiyazakiYutaka KanayamaYuuki KimuraNeil StewartRyuhei NishiyabuCarole AiméNobuo KimizukaThomas T. Hills
- Topics
- Decision-Making and Behavioral Economics (7 papers)Molecular Sensors and Ion Detection (3 papers)Behavioral Health and Interventions (3 papers)
- Cited by
- General Decision SciencesComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Takao Noguchi
34 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Control and Systems Engineering 1.0k
- Computer Vision and Pattern Recognition 957
- Biomedical Engineering 379
- Cognitive Neuroscience 201
- General Decision Sciences 193
Countries citing papers authored by Takao Noguchi
This map shows the geographic impact of Takao Noguchi'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 Takao Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takao Noguchi more than expected).
Fields of papers citing papers by Takao Noguchi
This network shows the impact of papers produced by Takao Noguchi. 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 Takao Noguchi. The network helps show where Takao Noguchi may publish in the future.
Co-authorship network of co-authors of Takao Noguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takao Noguchi. A scholar is included among the top collaborators of Takao Noguchi 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 Takao Noguchi. Takao Noguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 78 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 48 | |
| 8 | 15 | |
| 9 | 73 | |
| 10 | 90 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 34 | |
| 14 | 109 | |
| 15 | 5 | |
| 16 | Mineralogical Study of Hydrated IDPs: X-Ray Diffraction and Transmission Electron Microscopy | 6 |
| 17 | Mg, Si and Fe Fractionation Observed in Antarctic Silicate Spherules | 1 |
| 18 | A Submillimeter SIS Receiver Cooled by a Compact Stirling-JT Refrigerator | 3 |
| 19 | A Display Method of Trees by Using Photo Images | 7 |
| 20 | 11 |
About Takao Noguchi
Takao Noguchi is a scholar working on General Decision Sciences, Applied Psychology and Family Practice, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (7 papers), Molecular Sensors and Ion Detection (3 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in General Decision Sciences (193 citations), Computer Vision and Pattern Recognition (957 citations) and Control and Systems Engineering (1.0k citations). Takao Noguchi has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include F. Miyazaki, Yutaka Kanayama, Yuuki Kimura, Neil Stewart, Ryuhei Nishiyabu, Carole Aimé, Nobuo Kimizuka, Thomas T. Hills, Oliver Garrod and Frances Crabbe. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Neuroscience and PLoS ONE.
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.