Jun Mitani

2.4k citations
100 papers · 1.7k · h-index 22

Impact in

Papers in

Jun Mitani

93 papers receiving 1.6k citations

Peers

Jun Mitani
Comparison fields: 5 of 86
  • Computer Graphics and Computer-Aided Design 523
  • Human-Computer Interaction 441
  • Architecture 95
  • Computer Vision and Pattern Recognition 773
  • Geology 132
Replace Nobuyuki Umetani with:
Nobuyuki Umetani Japan
Emily Whiting United States
Peng Song China
Ryan Schmidt Canada
Bernhard Thomaszewski Switzerland
Nico Pietroni Italy
Moritz Bächer Switzerland
Manfred Lau United Kingdom
Etienne Vouga United States
James McCann United States
Jun Mitani relative to Nobuyuki Umetani Japan Nobuyuki Umetani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Mitani

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Mitani, 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 Jun Mitani Line = papers co-authored together Jun Mitani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017213
2 2004207
3 2010139
4 201188
5 201181
6 201054
7 200953
8 201645
9 201241
10 201241
11 201036
12 201633
13 199932
14 201328
15 200428
16 201126
17 201226
18 201225
19 201125
20 201822

About Jun Mitani

Jun Mitani is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering and Human-Computer Interaction, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (35 papers), Computer Graphics and Visualization Techniques (30 papers), Advanced Materials and Mechanics (27 papers), Interactive and Immersive Displays (27 papers), Computational Geometry and Mesh Generation (17 papers), Advanced Vision and Imaging (11 papers), Architecture and Computational Design (11 papers) and Structural Analysis and Optimization (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (523 citations), Human-Computer Interaction (441 citations), Architecture (95 citations), Computer Vision and Pattern Recognition (773 citations) and Geology (132 citations). Jun Mitani has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takeo Igarashi, Hiromasa Suzuki, Yoshihiro Kanamori, Manfred Lau, Yuki Endo, Greg Saul, Yuki Igarashi, Yukio Fukui, Juncong Lin and Karl D. D. Willis. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Journal of Computational Design and Engineering, IEEE Computer Graphics and Applications and Computer Aided Geometric Design.

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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