Kansei Iwata

692 citations
8 papers · 413 · h-index 5

Impact in

Papers in

Journals
IEEE Computer Graphics and Applications (3 papers)ACM SIGGRAPH Computer Graphics (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Color and Imaging Conference (1 paper)
Partner nations
Japan

In The Last Decade

Kansei Iwata

7 papers receiving 352 citations

Peers

Kansei Iwata
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 341
  • Computer Vision and Pattern Recognition 243
  • Computational Mechanics 201
  • Geology 16
  • Signal Processing 24
Replace David Immel with:
David Immel Germany
Cass Everitt United Kingdom
Pascal Gautron France
Minmin Gong China
R. Keith Morley United States
Robert F. Tobler Austria
Zen-Chung Shih Taiwan
Carl Phillip Korobkin United States
Janne Kontkanen United States
Mohamed S. Ebeida United States
Kansei Iwata relative to David Immel Germany David Immel's profile →
Citations per field
00.5×1.5×2.2×
David Immel · 1×
Citations per year

Countries citing papers authored by Kansei Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Kansei Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Kansei Iwata, 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 Kansei Iwata Line = papers co-authored together Kansei Iwata links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1986290
2
ARTS: accelerated ray-tracing system
198887
3 198316
4 19848
5 19936
6 19944
7 20022
8 19830

About Kansei Iwata

Kansei Iwata is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Color Science and Applications (2 papers), Interactive and Immersive Displays (1 paper), Advanced Scientific Research Methods (1 paper), Remote Sensing and LiDAR Applications (1 paper), Advanced Vision and Imaging (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (341 citations), Computer Vision and Pattern Recognition (243 citations), Computational Mechanics (201 citations), Geology (16 citations) and Signal Processing (24 citations). Kansei Iwata has collaborated with scholars based in Japan. Frequent co-authors include Akira Fujimoto, Takayuki Tanaka and Takayuki Tanaka. Their work appears in journals such as IEEE Computer Graphics and Applications, ACM SIGGRAPH Computer Graphics, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Color and Imaging Conference.

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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