S. Nakajima
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Shinichi TamuraAbhir BhaleraoYoshinobu SatoNobuyuki ShiragaR. KikinisC.-F. WestinAkira SuzukiKatsuki Furukawa
- Topics
- Semiconductor materials and devices (6 papers)Advanced Surface Polishing Techniques (4 papers)Advanced Thermodynamics and Statistical Mechanics (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
S. Nakajima
29 papers receiving 709 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 337
- Materials Chemistry 218
- Atomic and Molecular Physics, and Optics 156
- Computer Vision and Pattern Recognition 134
- Radiology, Nuclear Medicine and Imaging 86
Countries citing papers authored by S. Nakajima
This map shows the geographic impact of S. Nakajima'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 S. Nakajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Nakajima more than expected).
Fields of papers citing papers by S. Nakajima
This network shows the impact of papers produced by S. Nakajima. 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 S. Nakajima. The network helps show where S. Nakajima may publish in the future.
Co-authorship network of co-authors of S. Nakajima
This figure shows the co-authorship network connecting the top 25 collaborators of S. Nakajima. A scholar is included among the top collaborators of S. Nakajima 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 S. Nakajima. S. Nakajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | Quantum Adiabatic Pumping by Modulating Tunnel Phase in Quantum Dots | 2 |
| 6 | 20 | |
| 7 | 4 | |
| 8 | A SOAP-based Infrastructure for Service Broker | 0 |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 27 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 122 | |
| 17 | 18 | |
| 18 | 40 | |
| 19 | 8 | |
| 20 | 36 |
About S. Nakajima
S. Nakajima is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 745 indexed citations. Recurring topics across this work include Semiconductor materials and devices (6 papers), Advanced Surface Polishing Techniques (4 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (73 citations), Computer Vision and Pattern Recognition (134 citations) and Electrical and Electronic Engineering (337 citations). S. Nakajima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shinichi Tamura, Abhir Bhalerao, Yoshinobu Sato, Nobuyuki Shiraga, R. Kikinis, C.-F. Westin, Akira Suzuki, Katsuki Furukawa, Mitsuhiro Shigeta and Takashi Ogura. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.
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.