Kunio Uchiyama

562 total citations
20 papers, 356 citations indexed

About

Kunio Uchiyama is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kunio Uchiyama has authored 20 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 10 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Kunio Uchiyama's work include Embedded Systems Design Techniques (13 papers), Parallel Computing and Optimization Techniques (9 papers) and Interconnection Networks and Systems (5 papers). Kunio Uchiyama is often cited by papers focused on Embedded Systems Design Techniques (13 papers), Parallel Computing and Optimization Techniques (9 papers) and Interconnection Networks and Systems (5 papers). Kunio Uchiyama collaborates with scholars based in Japan, United States and Greece. Kunio Uchiyama's co-authors include Y. Shiroishi, N. Suzuki, Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Hironori Kasahara, Hiroshi Fuketa, Keiji Kimura, Atsushi Hasegawa, T. Kamei and Toshihiro Hattori and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Computer and IEICE Transactions on Electronics.

In The Last Decade

Kunio Uchiyama

17 papers receiving 338 citations

Peers

Kunio Uchiyama
Comparison fields: 5 of 72
  • Hardware and Architecture 92
  • Computer Networks and Communications 82
  • Electrical and Electronic Engineering 78
  • Industrial and Manufacturing Engineering 59
  • Information Systems 46
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Citations per field, relative to Kunio Uchiyama
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Citations per year, relative to Kunio Uchiyama
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Countries citing papers authored by Kunio Uchiyama

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Uchiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Uchiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Uchiyama. A scholar is included among the top collaborators of Kunio Uchiyama 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 Kunio Uchiyama. Kunio Uchiyama 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
# Work Indexed citations
1 0
2 11
3 32
4 178
5 28
6 6
7 0
8
IEEE Symposium on Low-Power and High-Speed Chips
7
9 22
10 3
11 2
12 12
13 22
14 17
15 2
16 0
17
A Low-Power Embedded RISC Microprocessor with an Integrated DSP for Mobile Applications
5
18
Embedded Processor Core with 64-Bit Architecture and Its System-On-Chip Integration for Digital Consumer Products
2
19 4
20
Design and Architecture for Low-power/High-Speed RISC Microprocessor: SuperH
3

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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