Hiromu Ariyoshi
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Discrete Mathematics and Combinatorics top 5%
- Topics
- Advanced Graph Theory Research (3 papers)VLSI and FPGA Design Techniques (2 papers)Computational Geometry and Mesh Generation (2 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsComputer Graphics and Computer-Aided Design
- Journals
- Journal of the ACMSIAM Journal on ComputingIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
- Partner nations
- Japan
In The Last Decade
Hiromu Ariyoshi
9 papers receiving 392 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 268
- Computer Networks and Communications 109
- Artificial Intelligence 98
- Electrical and Electronic Engineering 62
- Discrete Mathematics and Combinatorics 57
Countries citing papers authored by Hiromu Ariyoshi
This map shows the geographic impact of Hiromu Ariyoshi'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 Hiromu Ariyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromu Ariyoshi more than expected).
Fields of papers citing papers by Hiromu Ariyoshi
This network shows the impact of papers produced by Hiromu Ariyoshi. 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 Hiromu Ariyoshi. The network helps show where Hiromu Ariyoshi may publish in the future.
Co-authorship network of co-authors of Hiromu Ariyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromu Ariyoshi. A scholar is included among the top collaborators of Hiromu Ariyoshi 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 Hiromu Ariyoshi. Hiromu Ariyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Generation of Minimal Separating Sets of a Graph (Special Section on Discrete Mathematics and Its Applications) | 1 |
| 4 | 0 | |
| 5 | Fast Solutions for Consecutive 2-out-of-r-from-n: F System | 2 |
| 6 | BACKTRACK ENCODING ALGORITHM FOR INSTRUCTION DECODER | 0 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 62 | |
| 11 | 355 | |
| 12 | 8 | |
| 13 | 4 |
About Hiromu Ariyoshi
Hiromu Ariyoshi is a scholar working on Computer Graphics and Computer-Aided Design, Software and Energy Engineering and Power Technology, having authored 13 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (3 papers), VLSI and FPGA Design Techniques (2 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (57 citations), Computational Theory and Mathematics (268 citations) and Computer Graphics and Computer-Aided Design (18 citations). Hiromu Ariyoshi has collaborated with scholars based in Japan. Frequent co-authors include Isao Shirakawa, Hiroshi Ozaki, M. Kraetzl, Kenji Watanabe and Atsushi Hamada. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.
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.