Toru Nakamura

626 citations
33 papers · 318 indexed · h-index 9

Toru Nakamura

29 papers receiving 306 citations

Peers

Toru Nakamura
Comparison fields: 5 of 66
  • Artificial Intelligence 145
  • Information Systems 101
  • Computer Vision and Pattern Recognition 67
  • Sociology and Political Science 113
  • Health Informatics 3
Replace Shigenari Nakamura with:
Shigenari Nakamura Japan
Stefano Traverso Italy
Christoph Neumann France
Michaela Iorga United States
Umang Gupta India
Stefan Köpsell Germany
Lynette I. Millett United States
Boni García Spain
G. Geethakumari India
Jason Polakis United States
Toru Nakamura relative to Shigenari Nakamura Japan Shigenari Nakamura's profile →
Citations per field
00.5×9.6×
Shigenari Nakamura · 1×
Citations per year

Countries citing papers authored by Toru Nakamura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Toru Nakamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toru Nakamura Line = papers co-authored together Toru Nakamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202329
2 20230
3 20231
4 20224
5 20221
6 202111
7 20214
8 20210
9 20210
10 202024
11 20204
12 20202
13 20191
14 201864
15
Continuous authentication system using wearable devices
20170
16 20158
17 20151
18 201128
19 20063
20
Estimation of the Thermal History, Usage and Age of a Korean Cast Iron Artifact
20043

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), Cryptography and Data Security (10 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Authentication Protocols Security (3 papers), Cloud Data Security Solutions (3 papers), User Authentication and Security Systems (3 papers) and Blockchain Technology Applications and Security (3 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.

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