N. Tokura

477 citations
25 papers · 297 indexed · h-index 9
Topics
Coding theory and cryptography (4 papers)Organic and Inorganic Chemical Reactions (4 papers)Parallel Computing and Optimization Techniques (4 papers)
Partner nations
JapanUnited States

In The Last Decade

N. Tokura

22 papers receiving 261 citations

Peers

N. Tokura
Comparison fields: 5 of 53
  • Artificial Intelligence 170
  • Electrical and Electronic Engineering 96
  • Computational Theory and Mathematics 83
  • Computer Networks and Communications 68
  • Hardware and Architecture 57
Replace Kenichi Taniguchi with:
Kenichi Taniguchi Japan
Gordon A. Manson United Kingdom
Arathi Ramani United States
Jinfeng Liu China
R.A. Scantlebury United Kingdom
P. T. Wilkinson United Kingdom
Stephen F. Lundstrom United States
Stephen J. Garland United States
Paul Petersen United States
C. Norris Ip United States
N. Tokura relative to Kenichi Taniguchi Japan Kenichi Taniguchi's profile →
Citations per field
00.5×9.6×
Kenichi Taniguchi · 1×
Citations per year

Countries citing papers authored by N. Tokura

Since Specialization
Citations

This map shows the geographic impact of N. Tokura'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 N. Tokura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Tokura more than expected).

Fields of papers citing papers by N. Tokura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Tokura. 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 N. Tokura. The network helps show where N. Tokura may publish in the future.

Co-authorship network of co-authors of N. Tokura

This figure shows the co-authorship network connecting the top 25 collaborators of N. Tokura. A scholar is included among the top collaborators of N. Tokura 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 N. Tokura. N. Tokura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 3
3 5
4 0
5 1
6 8
7 82
8 1
9 19
10 1
11 10
12 14
13 59
14 3
15 6
16 3
17 4
18 4
19 3
20 2

About N. Tokura

N. Tokura is a scholar working on Hardware and Architecture, Process Chemistry and Technology and Organic Chemistry, having authored 25 papers that have together received 297 indexed citations. Recurring topics across this work include Coding theory and cryptography (4 papers), Organic and Inorganic Chemical Reactions (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (57 citations), Software (26 citations) and Artificial Intelligence (170 citations). N. Tokura has collaborated with scholars based in Japan and United States. Frequent co-authors include Tadao Kasami, W. W. Peterson, T. NAGAI, Kazuaki Nakamura, Yuichiro Shirota, Yoshio Tsujino, Haishi Qi, Takahiro Kanagawa, Akira Hashimoto and Yukikazu Nakamoto. Their work appears in journals such as IEEE Transactions on Information Theory, Communications of the ACM and Tetrahedron.

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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