Toru Nakamura
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Shinsaku KiyomotoPeter HofmannKouichi SakuraiIchirou YamaguchiJunichi KatoMasayuki HashimotoTakamasa IsoharaKotaro Funakoshi
- Topics
- Privacy-Preserving Technologies in Data (20 papers)Privacy, Security, and Data Protection (13 papers)Cryptography and Data Security (10 papers)
In The Last Decade
Toru Nakamura
29 papers receiving 306 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 145
- Sociology and Political Science 113
- Information Systems 101
- Computer Vision and Pattern Recognition 67
- Mechanical Engineering 26
Countries citing papers authored by Toru Nakamura
This map shows the geographic impact of Toru Nakamura'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 Toru Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Nakamura more than expected).
Fields of papers citing papers by Toru Nakamura
This network shows the impact of papers produced by Toru Nakamura. 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 Toru Nakamura. The network helps show where Toru Nakamura may publish in the future.
Co-authorship network of co-authors of Toru Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Nakamura. A scholar is included among the top collaborators of Toru Nakamura 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 Toru Nakamura. Toru Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 64 | |
| 15 | Continuous authentication system using wearable devices | 0 |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 3 | |
| 20 | Estimation of the Thermal History, Usage and Age of a Korean Cast Iron Artifact | 3 |
About Toru Nakamura
Toru Nakamura is a scholar working on Archeology, Artificial Intelligence and Computer Science Applications, having authored 33 papers that have together received 318 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (20 papers), Privacy, Security, and Data Protection (13 papers) and Cryptography and Data Security (10 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Information Systems (101 citations) and Computer Vision and Pattern Recognition (67 citations). Toru Nakamura has collaborated with scholars based in Japan and Germany. Frequent co-authors include Shinsaku Kiyomoto, Peter Hofmann, Kouichi Sakurai, Ichirou Yamaguchi, Junichi Kato, Masayuki Hashimoto, Takamasa Isohara, Kotaro Funakoshi, Mikio Nakano and Shoichi Saito. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems and Theoretical Computer Science.
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.