Keisuke Inoue
- Organic Chemistry
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Shigeru NishiyamaYuichi IshikawaTsuyoshi IdéKenji ShimadaAtsushi YamadaTakayuki ItohShunji KishimotoSohei Tanabe
- Topics
- Computational Geometry and Mesh Generation (7 papers)Geophysical Methods and Applications (6 papers)Geophysical and Geoelectrical Methods (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInorganic Chemistry
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Keisuke Inoue
46 papers receiving 412 citations
Peers
Comparison fields: 5 of 108
- Organic Chemistry 149
- Computer Graphics and Computer-Aided Design 62
- Computational Mechanics 61
- Molecular Biology 38
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Keisuke Inoue
This map shows the geographic impact of Keisuke Inoue'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 Keisuke Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Inoue more than expected).
Fields of papers citing papers by Keisuke Inoue
This network shows the impact of papers produced by Keisuke Inoue. 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 Keisuke Inoue. The network helps show where Keisuke Inoue may publish in the future.
Co-authorship network of co-authors of Keisuke Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Inoue. A scholar is included among the top collaborators of Keisuke Inoue 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 Keisuke Inoue. Keisuke Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | A-1-15 On the NP-Hardness of Minimum-Period Register Binding | 1 |
| 9 | 2 | |
| 10 | An application for the Simplex Sensor Network | 0 |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | An Approach for Generating Meshes Similar to A Reference Mesh. | 0 |
| 17 | Clustering Large Number of Faces for 2-Dimensional Mesh Generation. | 16 |
| 18 | ISIS: Multiprocessor Simulator Library. | 2 |
| 19 | Automated Conversion of 2D Triangular Mesh into Quadrilateral Mesh with Directionality Control. | 7 |
| 20 | 3 |
About Keisuke Inoue
Keisuke Inoue is a scholar working on Computer Graphics and Computer-Aided Design, Toxicology and Paleontology, having authored 56 papers that have together received 448 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (7 papers), Geophysical Methods and Applications (6 papers) and Geophysical and Geoelectrical Methods (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (62 citations), Organic Chemistry (149 citations) and Computational Mechanics (61 citations). Keisuke Inoue has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Shigeru Nishiyama, Yuichi Ishikawa, Tsuyoshi Idé, Kenji Shimada, Atsushi Yamada, Takayuki Itoh, Shunji Kishimoto, Sohei Tanabe, Hiroomi Nakazato and Yoshiharu AMANO. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Inorganic Chemistry.
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.